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You searched for +publisher:"Penn State University" +contributor:("Vishal Monga, Committee Member"). Showing records 1 – 21 of 21 total matches.

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Penn State University

1. Tutuncuoglu, Kaya. Energy Harvesting Wireless Networks: Transmission Policies and Coding Schemes.

Degree: 2015, Penn State University

 With the wide deployment of battery powered wireless devices, prolonging the lifetime of wireless networks is becoming ever more critical. Systems powered by batteries suffer… (more)

Subjects/Keywords: energy harvesting; power allocation; wireless communications; transmission policies; energy cooperation; communication theory

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APA (6th Edition):

Tutuncuoglu, K. (2015). Energy Harvesting Wireless Networks: Transmission Policies and Coding Schemes. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26515

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):

Tutuncuoglu, Kaya. “Energy Harvesting Wireless Networks: Transmission Policies and Coding Schemes.” 2015. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/26515.

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

MLA Handbook (7th Edition):

Tutuncuoglu, Kaya. “Energy Harvesting Wireless Networks: Transmission Policies and Coding Schemes.” 2015. Web. 21 Oct 2020.

Vancouver:

Tutuncuoglu K. Energy Harvesting Wireless Networks: Transmission Policies and Coding Schemes. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/26515.

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

Council of Science Editors:

Tutuncuoglu K. Energy Harvesting Wireless Networks: Transmission Policies and Coding Schemes. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26515

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


Penn State University

2. Tian, Ye. COOPERATION AND INTERFERENCE IN WIRELESS NETWORKS.

Degree: 2013, Penn State University

 Cooperation and interference are two distinct outcomes of the broadcast nature of the wireless medium. This dissertation investigates the interaction between cooperation and interference in… (more)

Subjects/Keywords: Interference Relay Channel; Network Information Theory; Degrees of Freedom; Interference Alignment.

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APA (6th Edition):

Tian, Y. (2013). COOPERATION AND INTERFERENCE IN WIRELESS NETWORKS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16924

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):

Tian, Ye. “COOPERATION AND INTERFERENCE IN WIRELESS NETWORKS.” 2013. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/16924.

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

MLA Handbook (7th Edition):

Tian, Ye. “COOPERATION AND INTERFERENCE IN WIRELESS NETWORKS.” 2013. Web. 21 Oct 2020.

Vancouver:

Tian Y. COOPERATION AND INTERFERENCE IN WIRELESS NETWORKS. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/16924.

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

Council of Science Editors:

Tian Y. COOPERATION AND INTERFERENCE IN WIRELESS NETWORKS. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/16924

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


Penn State University

3. Shastry, Mahesh Chandramouli. Compressively Sampled Radar Using Random Waveforms.

Degree: 2013, Penn State University

 Compressive sensing (also referred to as compressed sensing) refers to the theory and practice of exploiting sparsity in physical measurements to acquire fewer samples than… (more)

Subjects/Keywords: compressive sensing; radar; sparsity; signal processing; noise radar

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APA (6th Edition):

Shastry, M. C. (2013). Compressively Sampled Radar Using Random Waveforms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18739

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):

Shastry, Mahesh Chandramouli. “Compressively Sampled Radar Using Random Waveforms.” 2013. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/18739.

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

MLA Handbook (7th Edition):

Shastry, Mahesh Chandramouli. “Compressively Sampled Radar Using Random Waveforms.” 2013. Web. 21 Oct 2020.

Vancouver:

Shastry MC. Compressively Sampled Radar Using Random Waveforms. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/18739.

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

Council of Science Editors:

Shastry MC. Compressively Sampled Radar Using Random Waveforms. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18739

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


Penn State University

4. Bhat, Surendra Shantaram. Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling.

Degree: 2012, Penn State University

 Recent developments in radar have lead to them becoming multifunction, adaptive and cognitive. Radar waveform design has also been proposed for optimal detection and target… (more)

Subjects/Keywords: Multimodal radar; LFM; HRR; LRR Bandwidth sharing; Bandwidth Optimization; Radar scheduling

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APA (6th Edition):

Bhat, S. S. (2012). Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15771

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):

Bhat, Surendra Shantaram. “Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling.” 2012. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/15771.

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

MLA Handbook (7th Edition):

Bhat, Surendra Shantaram. “Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling.” 2012. Web. 21 Oct 2020.

Vancouver:

Bhat SS. Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/15771.

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

Council of Science Editors:

Bhat SS. Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15771

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


Penn State University

5. 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 (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 October 21, 2020. 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. 21 Oct 2020.

Vancouver:

Soleimani Bajestani H. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 21]. 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

6. Zhu, Qian. APPLICATIONS OF COMPRESSED SENSING TO COHERENT RADAR IMAGING.

Degree: 2016, Penn State University

 Although meteoroids fragmentation has been observed and studied in the optical meteor community since the 1950s, no definitive fragmentation mechanisms for the relatively small meteoroids… (more)

Subjects/Keywords: Compressed Sensing; Coherent Radar Imaging; Meteoroids Fragmentation; Low-altitude Meteors

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APA (6th Edition):

Zhu, Q. (2016). APPLICATIONS OF COMPRESSED SENSING TO COHERENT RADAR IMAGING. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/cj82k729x

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):

Zhu, Qian. “APPLICATIONS OF COMPRESSED SENSING TO COHERENT RADAR IMAGING.” 2016. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/cj82k729x.

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

MLA Handbook (7th Edition):

Zhu, Qian. “APPLICATIONS OF COMPRESSED SENSING TO COHERENT RADAR IMAGING.” 2016. Web. 21 Oct 2020.

Vancouver:

Zhu Q. APPLICATIONS OF COMPRESSED SENSING TO COHERENT RADAR IMAGING. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/cj82k729x.

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

Council of Science Editors:

Zhu Q. APPLICATIONS OF COMPRESSED SENSING TO COHERENT RADAR IMAGING. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/cj82k729x

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


Penn State University

7. Vishwakarma, Vinod. Reduced order modeling, statistical analysis and system identification for a bladed rotor with geometric mistuning.

Degree: 2014, Penn State University

 Modified Modal Domain Analysis (MMDA) is a novel method for the development of a reduced-order model (ROM) of a bladed rotor. This method utilizes proper… (more)

Subjects/Keywords: turbine; mistuning; system identification; reduced order modeling; force response; random permutation; monte carlo

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APA (6th Edition):

Vishwakarma, V. (2014). Reduced order modeling, statistical analysis and system identification for a bladed rotor with geometric mistuning. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22946

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):

Vishwakarma, Vinod. “Reduced order modeling, statistical analysis and system identification for a bladed rotor with geometric mistuning.” 2014. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/22946.

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

MLA Handbook (7th Edition):

Vishwakarma, Vinod. “Reduced order modeling, statistical analysis and system identification for a bladed rotor with geometric mistuning.” 2014. Web. 21 Oct 2020.

Vancouver:

Vishwakarma V. Reduced order modeling, statistical analysis and system identification for a bladed rotor with geometric mistuning. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/22946.

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

Council of Science Editors:

Vishwakarma V. Reduced order modeling, statistical analysis and system identification for a bladed rotor with geometric mistuning. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22946

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


Penn State University

8. Jha, Manjari. Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection.

Degree: 2018, Penn State University

 This thesis focuses on developing probabilistic models for the analysis of diverse datasets using unsupervised clustering techniques. Primarily, we focus on two main fields: the… (more)

Subjects/Keywords: metagenomics; intrusion detection; clustering; unsupervised

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APA (6th Edition):

Jha, M. (2018). Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15543mom5590

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):

Jha, Manjari. “Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection.” 2018. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/15543mom5590.

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

MLA Handbook (7th Edition):

Jha, Manjari. “Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection.” 2018. Web. 21 Oct 2020.

Vancouver:

Jha M. Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/15543mom5590.

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

Council of Science Editors:

Jha M. Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15543mom5590

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


Penn State University

9. Khan, Mohammad Nasim. Assuring Security and Privacy of Emerging Non-Volatile Memories.

Degree: 2019, Penn State University

 At the end of Silicon roadmap, keeping the leakage power in tolerable limit has become one of the biggest challenges. Several promising Non-Volatile Memories (NVMs)… (more)

Subjects/Keywords: Non-Volatile Memory; NVM; Security; Privacy; Reliability; Testing; STTRAM; RRAM; PCM; MRAM; FeRAM

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APA (6th Edition):

Khan, M. N. (2019). Assuring Security and Privacy of Emerging Non-Volatile Memories. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17145muk392

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):

Khan, Mohammad Nasim. “Assuring Security and Privacy of Emerging Non-Volatile Memories.” 2019. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/17145muk392.

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

MLA Handbook (7th Edition):

Khan, Mohammad Nasim. “Assuring Security and Privacy of Emerging Non-Volatile Memories.” 2019. Web. 21 Oct 2020.

Vancouver:

Khan MN. Assuring Security and Privacy of Emerging Non-Volatile Memories. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/17145muk392.

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

Council of Science Editors:

Khan MN. Assuring Security and Privacy of Emerging Non-Volatile Memories. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17145muk392

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


Penn State University

10. Lee, Geun Seop. Fast Regularized Total Least Squares Methods With applications.

Degree: 2013, Penn State University

 The dissertation consists of two parts. The first part considers the regularized total least squares problems. Constructing linear systems are an appropriate approach in understanding… (more)

Subjects/Keywords: Total Least Squares; Regularization; High Resolution Image Reconstruction; Newton method

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APA (6th Edition):

Lee, G. S. (2013). Fast Regularized Total Least Squares Methods With applications. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19194

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):

Lee, Geun Seop. “Fast Regularized Total Least Squares Methods With applications.” 2013. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/19194.

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

MLA Handbook (7th Edition):

Lee, Geun Seop. “Fast Regularized Total Least Squares Methods With applications.” 2013. Web. 21 Oct 2020.

Vancouver:

Lee GS. Fast Regularized Total Least Squares Methods With applications. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/19194.

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

Council of Science Editors:

Lee GS. Fast Regularized Total Least Squares Methods With applications. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19194

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


Penn State University

11. Park, Joonho Daniel. Steganographic sonar.

Degree: 2016, Penn State University

 Steganographic transmission waveforms are desirable for many underwater applications such as underwater acoustic communications, surveillance, detection, and tracking. In the context of active sonar tracking,… (more)

Subjects/Keywords: sonar; signal processing; tracking; steganography; information theory; detection; estimation; motion modeling; sound modeling; waveform design

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APA (6th Edition):

Park, J. D. (2016). Steganographic sonar. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13425jdp971

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, Joonho Daniel. “Steganographic sonar.” 2016. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/13425jdp971.

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

MLA Handbook (7th Edition):

Park, Joonho Daniel. “Steganographic sonar.” 2016. Web. 21 Oct 2020.

Vancouver:

Park JD. Steganographic sonar. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/13425jdp971.

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

Council of Science Editors:

Park JD. Steganographic sonar. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13425jdp971

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


Penn State University

12. Mohammadzadeh Jasour, Ashkan. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.

Degree: 2017, Penn State University

 This dissertation concentrates on chance constrained optimization problems and their application in systems and control area. In “chance optimization” problems, we aim at maximizing the… (more)

Subjects/Keywords: Chance Constrained; Convex Optimization; Semidefinite Programming; Measure and Moments; Polynomials; Sum of Squares Optimization; Duality

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APA (6th Edition):

Mohammadzadeh Jasour, A. (2017). Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13313aim5346

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):

Mohammadzadeh Jasour, Ashkan. “Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.” 2017. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/13313aim5346.

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

MLA Handbook (7th Edition):

Mohammadzadeh Jasour, Ashkan. “Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control.” 2017. Web. 21 Oct 2020.

Vancouver:

Mohammadzadeh Jasour A. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/13313aim5346.

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

Council of Science Editors:

Mohammadzadeh Jasour A. Convex Approximation of Chance Constrained Optimization Problems: Application in System and Control. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13313aim5346

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


Penn State University

13. Byrnes, Patrick Daniel. Endobronchial Video Analysis and CT-Video Fusion.

Degree: 2017, Penn State University

 Bronchoscopy enables a number of minimally invasive chest procedures for diseases such as lung cancer and asthma. For example, using the bronchoscope's continuous video stream… (more)

Subjects/Keywords: lung cancer; video summarization and abstraction; video analysis; keyframe extraction; ct-video fusion; ct-video registration; bronchoscopy

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APA (6th Edition):

Byrnes, P. D. (2017). Endobronchial Video Analysis and CT-Video Fusion. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14547pdb5069

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):

Byrnes, Patrick Daniel. “Endobronchial Video Analysis and CT-Video Fusion.” 2017. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/14547pdb5069.

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

MLA Handbook (7th Edition):

Byrnes, Patrick Daniel. “Endobronchial Video Analysis and CT-Video Fusion.” 2017. Web. 21 Oct 2020.

Vancouver:

Byrnes PD. Endobronchial Video Analysis and CT-Video Fusion. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/14547pdb5069.

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

Council of Science Editors:

Byrnes PD. Endobronchial Video Analysis and CT-Video Fusion. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14547pdb5069

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


Penn State University

14. Guler, Basak. Information Transmission in Networks with Social and Semantic Constraints.

Degree: 2017, Penn State University

 Modern networks are designed to facilitate the interaction between machines and humans. These networks consist of parties with different characteristics, goals, and interests. Although various… (more)

Subjects/Keywords: bayesian games; joint source channel coding; social networks

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APA (6th Edition):

Guler, B. (2017). Information Transmission in Networks with Social and Semantic Constraints. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14655bxg215

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):

Guler, Basak. “Information Transmission in Networks with Social and Semantic Constraints.” 2017. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/14655bxg215.

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

MLA Handbook (7th Edition):

Guler, Basak. “Information Transmission in Networks with Social and Semantic Constraints.” 2017. Web. 21 Oct 2020.

Vancouver:

Guler B. Information Transmission in Networks with Social and Semantic Constraints. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/14655bxg215.

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

Council of Science Editors:

Guler B. Information Transmission in Networks with Social and Semantic Constraints. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14655bxg215

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


Penn State University

15. Kestur Vyasa Prasanna, Srinidhi. Domain-specific Accelerators on Reconfigurable Platforms.

Degree: 2012, Penn State University

 With the increasing number of transistors available on a chip, microprocessors have evolved from large monolithic cores to multiple cores on a chip. However, to… (more)

Subjects/Keywords: accelerators; NuFFT; FPGA; N-body problem; matrix vector; sparse; saliency; HMAX; attention; recognition; neuromorphic; vision

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

APA (6th Edition):

Kestur Vyasa Prasanna, S. (2012). Domain-specific Accelerators on Reconfigurable Platforms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13147

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):

Kestur Vyasa Prasanna, Srinidhi. “Domain-specific Accelerators on Reconfigurable Platforms.” 2012. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/13147.

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

MLA Handbook (7th Edition):

Kestur Vyasa Prasanna, Srinidhi. “Domain-specific Accelerators on Reconfigurable Platforms.” 2012. Web. 21 Oct 2020.

Vancouver:

Kestur Vyasa Prasanna S. Domain-specific Accelerators on Reconfigurable Platforms. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/13147.

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

Council of Science Editors:

Kestur Vyasa Prasanna S. Domain-specific Accelerators on Reconfigurable Platforms. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/13147

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


Penn State University

16. Gilmour, Timothy. Signal Processing Applications to Electrophysiology of Continuous Dopaminergic Stimulation Therapy in Preclinical Parkinson's Disease Models.

Degree: 2012, Penn State University

 Parkinson's Disease (PD) is a neurodegenerative disorder that affects approximately four million people worldwide and is characterized by progressive motor and non-motor disability and loss… (more)

Subjects/Keywords: Parkinson's Disease; Cell Transplantation; Signal Processing; Transfer Entropy; FVM; RPE; Levodopa; 6-OHDA; Bursts

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

APA (6th Edition):

Gilmour, T. (2012). Signal Processing Applications to Electrophysiology of Continuous Dopaminergic Stimulation Therapy in Preclinical Parkinson's Disease Models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13877

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):

Gilmour, Timothy. “Signal Processing Applications to Electrophysiology of Continuous Dopaminergic Stimulation Therapy in Preclinical Parkinson's Disease Models.” 2012. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/13877.

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

MLA Handbook (7th Edition):

Gilmour, Timothy. “Signal Processing Applications to Electrophysiology of Continuous Dopaminergic Stimulation Therapy in Preclinical Parkinson's Disease Models.” 2012. Web. 21 Oct 2020.

Vancouver:

Gilmour T. Signal Processing Applications to Electrophysiology of Continuous Dopaminergic Stimulation Therapy in Preclinical Parkinson's Disease Models. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/13877.

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

Council of Science Editors:

Gilmour T. Signal Processing Applications to Electrophysiology of Continuous Dopaminergic Stimulation Therapy in Preclinical Parkinson's Disease Models. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/13877

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


Penn State University

17. Zang, Xiaonan. Ebus/ct Fusion for Image-guided Bronchoscopy.

Degree: 2016, Penn State University

 Many technical innovations in multimodal radiologic imaging and bronchoscopy have arisen to improve lung-cancer staging techniques. Among the innovations, endobronchial ultrasound (EBUS), which provides live… (more)

Subjects/Keywords: image segmentation; image registration; ultrasound

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

APA (6th Edition):

Zang, X. (2016). Ebus/ct Fusion for Image-guided Bronchoscopy. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28651

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):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2016. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/28651.

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

MLA Handbook (7th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2016. Web. 21 Oct 2020.

Vancouver:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/28651.

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

Council of Science Editors:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28651

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


Penn State University

18. Cheirsilp, Ronnarit. 3D multimodal image analysis for lung-cancer assessment.

Degree: 2016, Penn State University

 Integrated positron emission tomography (PET) / computed-tomography (CT) scanners give 3D multimodal data sets that provide both molecular activity and anatomical information. Such data sets… (more)

Subjects/Keywords: PET/CT; deformable registration; thoracic cavity; image processing; medical imaging; lung cancer; bronchoscopy

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

APA (6th Edition):

Cheirsilp, R. (2016). 3D multimodal image analysis for lung-cancer assessment. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/29568

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):

Cheirsilp, Ronnarit. “3D multimodal image analysis for lung-cancer assessment.” 2016. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/29568.

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

MLA Handbook (7th Edition):

Cheirsilp, Ronnarit. “3D multimodal image analysis for lung-cancer assessment.” 2016. Web. 21 Oct 2020.

Vancouver:

Cheirsilp R. 3D multimodal image analysis for lung-cancer assessment. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/29568.

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

Council of Science Editors:

Cheirsilp R. 3D multimodal image analysis for lung-cancer assessment. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/29568

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


Penn State University

19. Vemulapalli, Pramod Krishna. Extrema Features for Global-localization and Pattern Matching of Time-series Data.

Degree: 2012, Penn State University

 This dissertation describes the use of extrema features for the purposes of localization and pattern matching in time-series data. One of the principle contributions of… (more)

Subjects/Keywords: extrema features; subsequence matching; time series features

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

APA (6th Edition):

Vemulapalli, P. K. (2012). Extrema Features for Global-localization and Pattern Matching of Time-series Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15483

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):

Vemulapalli, Pramod Krishna. “Extrema Features for Global-localization and Pattern Matching of Time-series Data.” 2012. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/15483.

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

MLA Handbook (7th Edition):

Vemulapalli, Pramod Krishna. “Extrema Features for Global-localization and Pattern Matching of Time-series Data.” 2012. Web. 21 Oct 2020.

Vancouver:

Vemulapalli PK. Extrema Features for Global-localization and Pattern Matching of Time-series Data. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/15483.

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

Council of Science Editors:

Vemulapalli PK. Extrema Features for Global-localization and Pattern Matching of Time-series Data. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15483

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


Penn State University

20. Kwon, Yangsoo. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS.

Degree: 2012, Penn State University

 Ultra-wideband (UWB) noise radar has been widely considered as a promising technique for covert high-resolution detection of multiple targets due to several advantages such as… (more)

Subjects/Keywords: noise radar; target detection; MIMO radar

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APA (6th Edition):

Kwon, Y. (2012). TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15716

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):

Kwon, Yangsoo. “TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS.” 2012. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/15716.

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

MLA Handbook (7th Edition):

Kwon, Yangsoo. “TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS.” 2012. Web. 21 Oct 2020.

Vancouver:

Kwon Y. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/15716.

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

Council of Science Editors:

Kwon Y. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15716

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


Penn State University

21. Khare, Rahul Shashikant. Global Registration for Image-guided Bronchoscopy.

Degree: 2012, Penn State University

 Image guided intervention systems have been found to be very effective in carrying out accurate and skill-independent bronchoscopies. A vital aspect of such systems that… (more)

Subjects/Keywords: global registration; image-guided surgery; virtual endoscopy; virtual bronchoscopy; 3D imaging; image registration

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

APA (6th Edition):

Khare, R. S. (2012). Global Registration for Image-guided Bronchoscopy. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15750

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):

Khare, Rahul Shashikant. “Global Registration for Image-guided Bronchoscopy.” 2012. Thesis, Penn State University. Accessed October 21, 2020. https://submit-etda.libraries.psu.edu/catalog/15750.

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

MLA Handbook (7th Edition):

Khare, Rahul Shashikant. “Global Registration for Image-guided Bronchoscopy.” 2012. Web. 21 Oct 2020.

Vancouver:

Khare RS. Global Registration for Image-guided Bronchoscopy. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/15750.

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

Council of Science Editors:

Khare RS. Global Registration for Image-guided Bronchoscopy. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15750

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

.