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You searched for +publisher:"Penn State University" +contributor:("George Kesidis, Committee Member"). Showing records 1 – 30 of 39 total matches.

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Penn State University

1. Jain, Aman. SplitServe: Efficiently splitting complex workloads over IaaS and FaaS.

Degree: 2019, Penn State University

 Serverless computing products such as AWS Lambdas and other ``Cloud Functions'' (CFs) can offer much lower startup latencies than Virtual Machine (VM) instances with lower… (more)

Subjects/Keywords: Public Cloud Computing; Distributed Computing

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APA (6th Edition):

Jain, A. (2019). SplitServe: Efficiently splitting complex workloads over IaaS and FaaS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16826axj182

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jain, Aman. “SplitServe: Efficiently splitting complex workloads over IaaS and FaaS.” 2019. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/16826axj182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jain, Aman. “SplitServe: Efficiently splitting complex workloads over IaaS and FaaS.” 2019. Web. 08 May 2021.

Vancouver:

Jain A. SplitServe: Efficiently splitting complex workloads over IaaS and FaaS. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/16826axj182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jain A. SplitServe: Efficiently splitting complex workloads over IaaS and FaaS. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16826axj182

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Kamrava, Sepideh. Resource Procurement in Cloud Systems.

Degree: 2016, Penn State University

 With the growth in complexity of problems needed to be solved, the old fashion systems cannot meet the user’s requirements. This niche has been identified… (more)

Subjects/Keywords: Cloud Computing; Optimization; Resource Procurement; Reserved instances

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APA (6th Edition):

Kamrava, S. (2016). Resource Procurement in Cloud Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13443szk234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kamrava, Sepideh. “Resource Procurement in Cloud Systems.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/13443szk234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kamrava, Sepideh. “Resource Procurement in Cloud Systems.” 2016. Web. 08 May 2021.

Vancouver:

Kamrava S. Resource Procurement in Cloud Systems. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/13443szk234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kamrava S. Resource Procurement in Cloud Systems. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13443szk234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

3. Natarajan, Vivek Kamakshipuram. Node Misbehavior Detection and Secure Trust Metadata Management in Mobile Networks.

Degree: 2012, Penn State University

 The topic of study of this dissertation is node misbehavior detection and secure trust metadata management in mobile networks. For concreteness, two classic mobile networks,… (more)

Subjects/Keywords: Computer Science; Security; Trust Metadata Management; Delay-Tolerant Network; Mobile Ad-Hoc Network; Denial-Of-Service Attack

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APA (6th Edition):

Natarajan, V. K. (2012). Node Misbehavior Detection and Secure Trust Metadata Management in Mobile Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16136

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Natarajan, Vivek Kamakshipuram. “Node Misbehavior Detection and Secure Trust Metadata Management in Mobile Networks.” 2012. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/16136.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Natarajan, Vivek Kamakshipuram. “Node Misbehavior Detection and Secure Trust Metadata Management in Mobile Networks.” 2012. Web. 08 May 2021.

Vancouver:

Natarajan VK. Node Misbehavior Detection and Secure Trust Metadata Management in Mobile Networks. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/16136.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Natarajan VK. Node Misbehavior Detection and Secure Trust Metadata Management in Mobile Networks. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/16136

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

4. Ashbach, Jason Andrew. Optical Frequency Selective Surface Design Using a GPU Accelerated Finite Element Boundary Integral Method.

Degree: 2016, Penn State University

 Periodic metallodielectric frequency selective surface (FSS) designs have historically seen widespread use in the microwave and radio frequency spectra. By scaling the dimensions of an… (more)

Subjects/Keywords: Computational Electromagnetics; Finite Element Method; GPGPU; General Purpose Computing; Frequency Selective Surfaces

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APA (6th Edition):

Ashbach, J. A. (2016). Optical Frequency Selective Surface Design Using a GPU Accelerated Finite Element Boundary Integral Method. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ashbach, Jason Andrew. “Optical Frequency Selective Surface Design Using a GPU Accelerated Finite Element Boundary Integral Method.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/28760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ashbach, Jason Andrew. “Optical Frequency Selective Surface Design Using a GPU Accelerated Finite Element Boundary Integral Method.” 2016. Web. 08 May 2021.

Vancouver:

Ashbach JA. Optical Frequency Selective Surface Design Using a GPU Accelerated Finite Element Boundary Integral Method. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/28760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ashbach JA. Optical Frequency Selective Surface Design Using a GPU Accelerated Finite Element Boundary Integral Method. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

5. Gao, Wei. Social-Aware Data Dissemination in Opportunistic Mobile Networks.

Degree: 2012, Penn State University

 Recent technical advance of personal hand-held mobile computing devices necessities mobile data accessibility, which realizes "anytime, anywhere" computing without being constrained by the wired network… (more)

Subjects/Keywords: opportunistic mobile networks; data dissemination; social networks; mobile computing; user interest; centrality; community

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APA (6th Edition):

Gao, W. (2012). Social-Aware Data Dissemination in Opportunistic Mobile Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14705

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gao, Wei. “Social-Aware Data Dissemination in Opportunistic Mobile Networks.” 2012. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/14705.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gao, Wei. “Social-Aware Data Dissemination in Opportunistic Mobile Networks.” 2012. Web. 08 May 2021.

Vancouver:

Gao W. Social-Aware Data Dissemination in Opportunistic Mobile Networks. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/14705.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gao W. Social-Aware Data Dissemination in Opportunistic Mobile Networks. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/14705

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

6. Soleimani Bajestani, Hossein. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.

Degree: 2016, Penn State University

 In this dissertation, we propose probabilistic models for processing large collections of unstructured and sparingly labeled text corpora. We develop our methods for performing challenging… (more)

Subjects/Keywords: Machine Learning; Topic Models; Anomaly Detection; Semi-supervised Learning; Text Modeling; Credit Attribution

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Soleimani Bajestani, H. (2016). Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/hd76s0057

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Soleimani Bajestani, Hossein. “Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/hd76s0057.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Soleimani Bajestani, Hossein. “Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.” 2016. Web. 08 May 2021.

Vancouver:

Soleimani Bajestani H. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/hd76s0057.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soleimani Bajestani H. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/hd76s0057

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

7. Xie, Zhen. TOWARDS TRUSTWORTHY RATING SYSTEMS FOR MOBILE APP STORES.

Degree: 2016, Penn State University

 With the fast development of smartphones and tablets, application (or app) stores (e.g., Android, iOS) have already grown to be a huge marketplace. Their vendors… (more)

Subjects/Keywords: Mobile; App store; collusion group; abused app; biclique community; GroupTie; AppWacther

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APA (6th Edition):

Xie, Z. (2016). TOWARDS TRUSTWORTHY RATING SYSTEMS FOR MOBILE APP STORES. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/gx41mh85d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xie, Zhen. “TOWARDS TRUSTWORTHY RATING SYSTEMS FOR MOBILE APP STORES.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/gx41mh85d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xie, Zhen. “TOWARDS TRUSTWORTHY RATING SYSTEMS FOR MOBILE APP STORES.” 2016. Web. 08 May 2021.

Vancouver:

Xie Z. TOWARDS TRUSTWORTHY RATING SYSTEMS FOR MOBILE APP STORES. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/gx41mh85d.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xie Z. TOWARDS TRUSTWORTHY RATING SYSTEMS FOR MOBILE APP STORES. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/gx41mh85d

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

8. Sun, Xiao. Achieving Smart Health with Mobile Devices.

Degree: 2016, Penn State University

 Existing healthcare systems are cost-prohibitive and inefficient, and thus there is an urgent need for the transformation of healthcare from expensive, reactive and hospital-centered to… (more)

Subjects/Keywords: Smart health; Mobile sensing; Mobile computing; Machine learning; Disease containment

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APA (6th Edition):

Sun, X. (2016). Achieving Smart Health with Mobile Devices. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13361xxs118

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sun, Xiao. “Achieving Smart Health with Mobile Devices.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/13361xxs118.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sun, Xiao. “Achieving Smart Health with Mobile Devices.” 2016. Web. 08 May 2021.

Vancouver:

Sun X. Achieving Smart Health with Mobile Devices. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/13361xxs118.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun X. Achieving Smart Health with Mobile Devices. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13361xxs118

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

9. Wang, Cheng. IMPROVING COST-EFFICACY IN PUBLIC CLOUDS: OPTIMAL CONTROL SUBJECT TO CLOUD-TENANT INTERACTIONS.

Degree: 2016, Penn State University

 In recent years there has been a growing trend of tenant workload needs in public cloud platforms, which may lead to an increasingly competitive cloud… (more)

Subjects/Keywords: Public cloud; Tenant; Cost-efficacy

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APA (6th Edition):

Wang, C. (2016). IMPROVING COST-EFFICACY IN PUBLIC CLOUDS: OPTIMAL CONTROL SUBJECT TO CLOUD-TENANT INTERACTIONS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13367cxw967

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Cheng. “IMPROVING COST-EFFICACY IN PUBLIC CLOUDS: OPTIMAL CONTROL SUBJECT TO CLOUD-TENANT INTERACTIONS.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/13367cxw967.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Cheng. “IMPROVING COST-EFFICACY IN PUBLIC CLOUDS: OPTIMAL CONTROL SUBJECT TO CLOUD-TENANT INTERACTIONS.” 2016. Web. 08 May 2021.

Vancouver:

Wang C. IMPROVING COST-EFFICACY IN PUBLIC CLOUDS: OPTIMAL CONTROL SUBJECT TO CLOUD-TENANT INTERACTIONS. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/13367cxw967.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang C. IMPROVING COST-EFFICACY IN PUBLIC CLOUDS: OPTIMAL CONTROL SUBJECT TO CLOUD-TENANT INTERACTIONS. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13367cxw967

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

10. Raghuram, Jayaram. Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints.

Degree: 2014, Penn State University

 This dissertation makes contributions towards the following three closely related, important problems in machine learning: {\em 1. Semi-supervised classification, 2. Semi-supervised learning with instance-level constraints,… (more)

Subjects/Keywords: semisupervised classification; semisupervised constraint based learning; classifier domain adaptation; machine learning

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APA (6th Edition):

Raghuram, J. (2014). Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/23319

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Raghuram, Jayaram. “Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints.” 2014. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/23319.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Raghuram, Jayaram. “Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints.” 2014. Web. 08 May 2021.

Vancouver:

Raghuram J. Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/23319.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Raghuram J. Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/23319

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

11. Geng, Yeli. Energy-efficient Computation Offloading in Wireless Networks.

Degree: 2018, Penn State University

 Due to the increased processing capability of mobile devices, computationally intensive mobile applications such as image/video processing, face recognition and augmented reality are becoming increasingly… (more)

Subjects/Keywords: Energy consumption; Cellular phones; Computation offloading; Wireless communication.; Wireless communication

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APA (6th Edition):

Geng, Y. (2018). Energy-efficient Computation Offloading in Wireless Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15834yzg5086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Geng, Yeli. “Energy-efficient Computation Offloading in Wireless Networks.” 2018. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/15834yzg5086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Geng, Yeli. “Energy-efficient Computation Offloading in Wireless Networks.” 2018. Web. 08 May 2021.

Vancouver:

Geng Y. Energy-efficient Computation Offloading in Wireless Networks. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/15834yzg5086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Geng Y. Energy-efficient Computation Offloading in Wireless Networks. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15834yzg5086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

12. Zhong, Haoti. User Protection in Social Networks using Machine Learning Techniques.

Degree: 2019, Penn State University

 Huge volumes of data, including images and text, are generated every day as a result of the booming of social networks and their corresponding users.… (more)

Subjects/Keywords: Machine Learning; Privacy; Cyberbully; Social Networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhong, H. (2019). User Protection in Social Networks using Machine Learning Techniques. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16229hzz113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhong, Haoti. “User Protection in Social Networks using Machine Learning Techniques.” 2019. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/16229hzz113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhong, Haoti. “User Protection in Social Networks using Machine Learning Techniques.” 2019. Web. 08 May 2021.

Vancouver:

Zhong H. User Protection in Social Networks using Machine Learning Techniques. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/16229hzz113.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhong H. User Protection in Social Networks using Machine Learning Techniques. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16229hzz113

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

13. Lichter, Shaun Matthew. A Game Theoretic Approach to Network Formation.

Degree: 2013, Penn State University

 As an alternative view to the graph formation models in the statistical physics community, we introduce graph formation models using it{network formation} through selfish competition… (more)

Subjects/Keywords: Network Formation; Network Game; Game Theory; Network Science; Optimization; Graph Generation

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APA (6th Edition):

Lichter, S. M. (2013). A Game Theoretic Approach to Network Formation. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lichter, Shaun Matthew. “A Game Theoretic Approach to Network Formation.” 2013. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/18298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lichter, Shaun Matthew. “A Game Theoretic Approach to Network Formation.” 2013. Web. 08 May 2021.

Vancouver:

Lichter SM. A Game Theoretic Approach to Network Formation. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/18298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lichter SM. A Game Theoretic Approach to Network Formation. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

14. Wang, Shuting. Knowledge Graph Creation from Structure Knowledge.

Degree: 2017, Penn State University

 Knowledge graphs, which organize and structure knowledge by linked concepts, have been widely used as teaching and learning tools for science education tasks. Typically, they… (more)

Subjects/Keywords: Knowledge Graph; Web Knowledge Base; Education Data Mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, S. (2017). Knowledge Graph Creation from Structure Knowledge. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14306sxw327

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Shuting. “Knowledge Graph Creation from Structure Knowledge.” 2017. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/14306sxw327.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Shuting. “Knowledge Graph Creation from Structure Knowledge.” 2017. Web. 08 May 2021.

Vancouver:

Wang S. Knowledge Graph Creation from Structure Knowledge. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/14306sxw327.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang S. Knowledge Graph Creation from Structure Knowledge. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14306sxw327

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

15. Qiu, Zhicong. Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories.

Degree: 2017, Penn State University

 This dissertation makes contributions to two major areas in machine learning, namely, semi-supervised active learning and anomaly detection, with general applicability but with demonstrated application… (more)

Subjects/Keywords: Active learning (AL); cross entropy; inductive bias; logistic regression; p-value; rare classes; regularization; semisupervised learning (SL).; Active learning; cross entropy; inductive bias; logistic regression; p-value; rare classes; regularization; semi-supervised learning; group anomaly detection; network intrusion detection; Gaussian mixture model; Bonferroni approximation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qiu, Z. (2017). Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14456zzq101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qiu, Zhicong. “Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories.” 2017. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/14456zzq101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qiu, Zhicong. “Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories.” 2017. Web. 08 May 2021.

Vancouver:

Qiu Z. Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/14456zzq101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qiu Z. Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14456zzq101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

16. Zhang, Xiaomei. Efficient and Quality-Aware Data Access in Mobile Opportunistic Networks.

Degree: 2016, Penn State University

 Recent advances in hand-held mobile devices have sparked the emergence of mobile opportunistic networks. These networks enable direct communication between mobile devices by utilizing the… (more)

Subjects/Keywords: Mobile Opportunistic Networks; Data Transmission; Transient Community; Truth Analysis; Mobile Crowdsourcing; Task Allocation; Mobile Opportunistic Networks; Social Networks; Data Transmission; Transient Community; Truth Analysis; Mobile Crowdsourcing; Task Allocation

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APA (6th Edition):

Zhang, X. (2016). Efficient and Quality-Aware Data Access in Mobile Opportunistic Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/q811kj61g

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Xiaomei. “Efficient and Quality-Aware Data Access in Mobile Opportunistic Networks.” 2016. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/q811kj61g.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Xiaomei. “Efficient and Quality-Aware Data Access in Mobile Opportunistic Networks.” 2016. Web. 08 May 2021.

Vancouver:

Zhang X. Efficient and Quality-Aware Data Access in Mobile Opportunistic Networks. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/q811kj61g.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang X. Efficient and Quality-Aware Data Access in Mobile Opportunistic Networks. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/q811kj61g

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

17. Zhang, Yang. Information Sharing in Vehicular Ad Hoc Networks .

Degree: 2011, Penn State University

 The proliferation of low-cost wireless connectivity, combined with the growth of distributed peer-to-peer cooperative systems, is transforming the next-generation vehicular ad hoc networks (VANETs). With… (more)

Subjects/Keywords: Vehicular Ad Hoc Networks; Information sharing

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APA (6th Edition):

Zhang, Y. (2011). Information Sharing in Vehicular Ad Hoc Networks . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11958

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Yang. “Information Sharing in Vehicular Ad Hoc Networks .” 2011. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/11958.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Yang. “Information Sharing in Vehicular Ad Hoc Networks .” 2011. Web. 08 May 2021.

Vancouver:

Zhang Y. Information Sharing in Vehicular Ad Hoc Networks . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/11958.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang Y. Information Sharing in Vehicular Ad Hoc Networks . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11958

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

18. Lin, Chu-Fang. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling .

Degree: 2011, Penn State University

 This dissertation presents novel generative semisupervised mixtures with more fine-grained class label generation mechanisms than in previous semisupervised learning works. The proposed fine-grained models combine… (more)

Subjects/Keywords: nearest neighbor classification; mixture models; inductive inference; generative models; semisupervised learning; Expectation- Maximization algorithm

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APA (6th Edition):

Lin, C. (2011). Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Chu-Fang. “Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling .” 2011. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/12029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Chu-Fang. “Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling .” 2011. Web. 08 May 2021.

Vancouver:

Lin C. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/12029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin C. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

19. Zhao, Bin. Identifying Private Data Leakage Threats in Web Browsers.

Degree: 2015, Penn State University

 Modern web browsers now provide more customizations to improve the usability and their competitiveness. Browser extensions and private browsing mode (PBM) are arguably two most… (more)

Subjects/Keywords: Browse extensions; dynamic analysis; system calls; private browsing mode; privacy breaches; Android applications

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhao, B. (2015). Identifying Private Data Leakage Threats in Web Browsers. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Bin. “Identifying Private Data Leakage Threats in Web Browsers.” 2015. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/26496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Bin. “Identifying Private Data Leakage Threats in Web Browsers.” 2015. Web. 08 May 2021.

Vancouver:

Zhao B. Identifying Private Data Leakage Threats in Web Browsers. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/26496.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao B. Identifying Private Data Leakage Threats in Web Browsers. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26496

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

20. Wang, Jun. Protecting Server Programs and Systems: Privilege Separation, Attack Surface Reduction, And Risk Assessment.

Degree: 2015, Penn State University

 In today’s digitized world, server programs and systems have become an indispensable part of people’s daily life and business, such as Web service, file service,… (more)

Subjects/Keywords: Security and Protection; Privilege Separation; Attack Surface Reduction; Risk Assessment

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APA (6th Edition):

Wang, J. (2015). Protecting Server Programs and Systems: Privilege Separation, Attack Surface Reduction, And Risk Assessment. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27366

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Jun. “Protecting Server Programs and Systems: Privilege Separation, Attack Surface Reduction, And Risk Assessment.” 2015. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/27366.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Jun. “Protecting Server Programs and Systems: Privilege Separation, Attack Surface Reduction, And Risk Assessment.” 2015. Web. 08 May 2021.

Vancouver:

Wang J. Protecting Server Programs and Systems: Privilege Separation, Attack Surface Reduction, And Risk Assessment. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/27366.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang J. Protecting Server Programs and Systems: Privilege Separation, Attack Surface Reduction, And Risk Assessment. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27366

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

21. Yang, Yi. Energy Optimization for Wireless Communications on Mobile Devices.

Degree: 2018, Penn State University

 Mobile devices such as smartphones and smartwatches are becoming increasingly popular accompanied with a wide range of apps. Those apps usually require data communications through… (more)

Subjects/Keywords: Wireless network; Energy optimization; Mobile devices

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APA (6th Edition):

Yang, Y. (2018). Energy Optimization for Wireless Communications on Mobile Devices. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14989yzy123

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Yi. “Energy Optimization for Wireless Communications on Mobile Devices.” 2018. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/14989yzy123.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Yi. “Energy Optimization for Wireless Communications on Mobile Devices.” 2018. Web. 08 May 2021.

Vancouver:

Yang Y. Energy Optimization for Wireless Communications on Mobile Devices. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/14989yzy123.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang Y. Energy Optimization for Wireless Communications on Mobile Devices. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/14989yzy123

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

22. Kim, Myongsoo. DESIGN OF COMMUNICATION NETWORK ARCHITECTURE FOR THE SMART GRID .

Degree: 2011, Penn State University

 Power systems have been dramatically changing with cutting edge information technologies. The new power system infrastructure called Smart Grid has evolved and has been studied… (more)

Subjects/Keywords: Smart Grid; Communication Network; Utility Security; Key Exchange; One core ring network

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APA (6th Edition):

Kim, M. (2011). DESIGN OF COMMUNICATION NETWORK ARCHITECTURE FOR THE SMART GRID . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12204

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kim, Myongsoo. “DESIGN OF COMMUNICATION NETWORK ARCHITECTURE FOR THE SMART GRID .” 2011. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/12204.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kim, Myongsoo. “DESIGN OF COMMUNICATION NETWORK ARCHITECTURE FOR THE SMART GRID .” 2011. Web. 08 May 2021.

Vancouver:

Kim M. DESIGN OF COMMUNICATION NETWORK ARCHITECTURE FOR THE SMART GRID . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/12204.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim M. DESIGN OF COMMUNICATION NETWORK ARCHITECTURE FOR THE SMART GRID . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12204

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

23. Surender, Shrawan Chittoor. Design and Analysis of Ultra-wideband Ad Hoc Covert Wireless Radar-Comm Networks.

Degree: 2011, Penn State University

 Recently, the wireless networks research community has taken considerable interest in concurrently utilizing the ultra-wideband (UWB) spectrum with narrow-band systems to implement coexisting and cognitive… (more)

Subjects/Keywords: ultra-wideband noise radar; communications embedded radar; situational awareness; multi-functional ad hoc radar network; fully-distributed resource allocation; secure ad hoc networks

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APA (6th Edition):

Surender, S. C. (2011). Design and Analysis of Ultra-wideband Ad Hoc Covert Wireless Radar-Comm Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12011

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Surender, Shrawan Chittoor. “Design and Analysis of Ultra-wideband Ad Hoc Covert Wireless Radar-Comm Networks.” 2011. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/12011.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Surender, Shrawan Chittoor. “Design and Analysis of Ultra-wideband Ad Hoc Covert Wireless Radar-Comm Networks.” 2011. Web. 08 May 2021.

Vancouver:

Surender SC. Design and Analysis of Ultra-wideband Ad Hoc Covert Wireless Radar-Comm Networks. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/12011.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Surender SC. Design and Analysis of Ultra-wideband Ad Hoc Covert Wireless Radar-Comm Networks. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12011

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

24. Li, Lunquan. ENTERPRISE WORM: SIMULATION, DETECTION, AND OPTIMAL CONTAINMENT.

Degree: 2008, Penn State University

 The research on computer worms and their defense has been in full swing in recent years. Still, there are some challenges in understanding the nature… (more)

Subjects/Keywords: computer worm; testbed; simulation; optimal containment; dark port

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APA (6th Edition):

Li, L. (2008). ENTERPRISE WORM: SIMULATION, DETECTION, AND OPTIMAL CONTAINMENT. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8562

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Lunquan. “ENTERPRISE WORM: SIMULATION, DETECTION, AND OPTIMAL CONTAINMENT.” 2008. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/8562.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Lunquan. “ENTERPRISE WORM: SIMULATION, DETECTION, AND OPTIMAL CONTAINMENT.” 2008. Web. 08 May 2021.

Vancouver:

Li L. ENTERPRISE WORM: SIMULATION, DETECTION, AND OPTIMAL CONTAINMENT. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/8562.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li L. ENTERPRISE WORM: SIMULATION, DETECTION, AND OPTIMAL CONTAINMENT. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8562

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

25. Griffin, Christopher Howard. Decidability and Optimality in Pushdown Control Systems: A New Approach to Discrete Event Control .

Degree: 2008, Penn State University

 Supervisory Control Theory (SCT) was developed by P. J. Ramadge and W. M. Wonham in the late 80's as a method of understanding control of… (more)

Subjects/Keywords: Decidability; Control; Discrete Event System; Optimization

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APA (6th Edition):

Griffin, C. H. (2008). Decidability and Optimality in Pushdown Control Systems: A New Approach to Discrete Event Control . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/7980

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Griffin, Christopher Howard. “Decidability and Optimality in Pushdown Control Systems: A New Approach to Discrete Event Control .” 2008. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/7980.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Griffin, Christopher Howard. “Decidability and Optimality in Pushdown Control Systems: A New Approach to Discrete Event Control .” 2008. Web. 08 May 2021.

Vancouver:

Griffin CH. Decidability and Optimality in Pushdown Control Systems: A New Approach to Discrete Event Control . [Internet] [Thesis]. Penn State University; 2008. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/7980.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Griffin CH. Decidability and Optimality in Pushdown Control Systems: A New Approach to Discrete Event Control . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/7980

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

26. Park, Dongkook. Design of High-Performance, Energy-Efficient, and Reliable Network-on-Chip (NoC) Architectures.

Degree: 2008, Penn State University

 The notion of a Network-on-Chip (NoC) is rapidly gaining a foothold as the communication fabric in complex System-on-Chip (SoC) architectures including recent Multi-Core architectures. Scalability… (more)

Subjects/Keywords: Network-on-Chip; on-chip interconnection; low-power; reliability; router architecture

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APA (6th Edition):

Park, D. (2008). Design of High-Performance, Energy-Efficient, and Reliable Network-on-Chip (NoC) Architectures. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Dongkook. “Design of High-Performance, Energy-Efficient, and Reliable Network-on-Chip (NoC) Architectures.” 2008. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/8203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Dongkook. “Design of High-Performance, Energy-Efficient, and Reliable Network-on-Chip (NoC) Architectures.” 2008. Web. 08 May 2021.

Vancouver:

Park D. Design of High-Performance, Energy-Efficient, and Reliable Network-on-Chip (NoC) Architectures. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/8203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park D. Design of High-Performance, Energy-Efficient, and Reliable Network-on-Chip (NoC) Architectures. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

27. Zhao, Qi. Mixture Model Learning with Instance-level Constraints.

Degree: 2008, Penn State University

 Machine learning traditionally includes two categories of methods: supervised learning and unsupervised learning. In recent years, one paradigm, semi-supervised learning, has attracted much more interest… (more)

Subjects/Keywords: semi-supervised learning with instance-level const; mixture modeling with constraints; constrained clustering; image segmentation with background information

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APA (6th Edition):

Zhao, Q. (2008). Mixture Model Learning with Instance-level Constraints. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/6605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Qi. “Mixture Model Learning with Instance-level Constraints.” 2008. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/6605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Qi. “Mixture Model Learning with Instance-level Constraints.” 2008. Web. 08 May 2021.

Vancouver:

Zhao Q. Mixture Model Learning with Instance-level Constraints. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/6605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao Q. Mixture Model Learning with Instance-level Constraints. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/6605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

28. Tuntoolavest, Usana. Vector Symbol Decoding with Lists of Alternative Vector Symbol Choices and Outer Convolutional Codes.

Degree: 2008, Penn State University

 Vector Symbol Decoding (VSD) with list of alternative vector symbol choices is presented as a relatively simple and high performance decoding technique for convolutional outer… (more)

Subjects/Keywords: Vector Symbol decoding; convolutional code; nonbinary code; concatenated code; Reed-Solomon code; nonbinary code decoding

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tuntoolavest, U. (2008). Vector Symbol Decoding with Lists of Alternative Vector Symbol Choices and Outer Convolutional Codes. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/5914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tuntoolavest, Usana. “Vector Symbol Decoding with Lists of Alternative Vector Symbol Choices and Outer Convolutional Codes.” 2008. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/5914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tuntoolavest, Usana. “Vector Symbol Decoding with Lists of Alternative Vector Symbol Choices and Outer Convolutional Codes.” 2008. Web. 08 May 2021.

Vancouver:

Tuntoolavest U. Vector Symbol Decoding with Lists of Alternative Vector Symbol Choices and Outer Convolutional Codes. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/5914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tuntoolavest U. Vector Symbol Decoding with Lists of Alternative Vector Symbol Choices and Outer Convolutional Codes. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/5914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

29. Taha, Samer Marwan. MODERN BROADBAND NETWORKING ISSUES, QUALITY-OF-SERVICE, RESOURCE ALLOCATION, AND SERVICE DISCIPLINES .

Degree: 2008, Penn State University

 This thesis focuses on the analysis, performance evaluation, and design of several aspects of the global data network beyond year 2000. The main issue in… (more)

Subjects/Keywords: DS; MPLS; Dynamic Bandwidth Allocation; Multiclass Internet; MPOA; Two-Class PRMA; Dynamic Pricing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Taha, S. M. (2008). MODERN BROADBAND NETWORKING ISSUES, QUALITY-OF-SERVICE, RESOURCE ALLOCATION, AND SERVICE DISCIPLINES . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/5916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Taha, Samer Marwan. “MODERN BROADBAND NETWORKING ISSUES, QUALITY-OF-SERVICE, RESOURCE ALLOCATION, AND SERVICE DISCIPLINES .” 2008. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/5916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Taha, Samer Marwan. “MODERN BROADBAND NETWORKING ISSUES, QUALITY-OF-SERVICE, RESOURCE ALLOCATION, AND SERVICE DISCIPLINES .” 2008. Web. 08 May 2021.

Vancouver:

Taha SM. MODERN BROADBAND NETWORKING ISSUES, QUALITY-OF-SERVICE, RESOURCE ALLOCATION, AND SERVICE DISCIPLINES . [Internet] [Thesis]. Penn State University; 2008. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/5916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Taha SM. MODERN BROADBAND NETWORKING ISSUES, QUALITY-OF-SERVICE, RESOURCE ALLOCATION, AND SERVICE DISCIPLINES . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/5916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

30. Bunyaratavej, Piya. Iterative Hillclimbing Optimization Techniques for Transform Image Encoding/Decoding and for Image Segmentation.

Degree: 2008, Penn State University

 An iterative hillclimbing optimization technique was introduced in this thesis. It was used to tackle many index assignment problems, i.e. transform image encoding, noisy image… (more)

Subjects/Keywords: image segmentation; image decoding; optimization; image encoding; iterative; hillclimbing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bunyaratavej, P. (2008). Iterative Hillclimbing Optimization Techniques for Transform Image Encoding/Decoding and for Image Segmentation. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/5953

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bunyaratavej, Piya. “Iterative Hillclimbing Optimization Techniques for Transform Image Encoding/Decoding and for Image Segmentation.” 2008. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/5953.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bunyaratavej, Piya. “Iterative Hillclimbing Optimization Techniques for Transform Image Encoding/Decoding and for Image Segmentation.” 2008. Web. 08 May 2021.

Vancouver:

Bunyaratavej P. Iterative Hillclimbing Optimization Techniques for Transform Image Encoding/Decoding and for Image Segmentation. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/5953.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bunyaratavej P. Iterative Hillclimbing Optimization Techniques for Transform Image Encoding/Decoding and for Image Segmentation. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/5953

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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