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Dept: Computer Science

You searched for publisher:"Kennesaw State University". Showing records 1 – 15 of 15 total matches.

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Kennesaw State University

1. Cooper, Vanessa. Tapjacking Threats and Mitigation Techniques for Android Applications.

Degree: MSCS, Computer Science, 2014, Kennesaw State University

  With the increased dependency on web applications through mobile devices, malicious attack techniques have now shifted from traditional web applications running on desktop or… (more)

Subjects/Keywords: android; malware detection; kull-back leibler divergence; back-off smoothing; tapjacking; Computer Engineering; Computer Sciences; Engineering; Information Security; Other Computer Engineering; Other Computer Sciences; Software Engineering

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

APA (6th Edition):

Cooper, V. (2014). Tapjacking Threats and Mitigation Techniques for Android Applications. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/etd/632

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):

Cooper, Vanessa. “Tapjacking Threats and Mitigation Techniques for Android Applications.” 2014. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/etd/632.

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

MLA Handbook (7th Edition):

Cooper, Vanessa. “Tapjacking Threats and Mitigation Techniques for Android Applications.” 2014. Web. 17 Aug 2018.

Vancouver:

Cooper V. Tapjacking Threats and Mitigation Techniques for Android Applications. [Internet] [Thesis]. Kennesaw State University; 2014. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/etd/632.

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

Council of Science Editors:

Cooper V. Tapjacking Threats and Mitigation Techniques for Android Applications. [Thesis]. Kennesaw State University; 2014. Available from: https://digitalcommons.kennesaw.edu/etd/632

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


Kennesaw State University

2. Bulusu, Pranahita. Detection of Lightweight Directory Access Protocol Query Injection Attacks in Web Applications.

Degree: MSCS, Computer Science, 2015, Kennesaw State University

  The Lightweight Directory Access Protocol (LDAP) is a common protocol used in organizations for Directory Service. LDAP is popular because of its features such… (more)

Subjects/Keywords: LDAP injection; Web security; Fault injection; Object Constraint Language; SQL injection

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APA (6th Edition):

Bulusu, P. (2015). Detection of Lightweight Directory Access Protocol Query Injection Attacks in Web Applications. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/1

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):

Bulusu, Pranahita. “Detection of Lightweight Directory Access Protocol Query Injection Attacks in Web Applications.” 2015. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/1.

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

MLA Handbook (7th Edition):

Bulusu, Pranahita. “Detection of Lightweight Directory Access Protocol Query Injection Attacks in Web Applications.” 2015. Web. 17 Aug 2018.

Vancouver:

Bulusu P. Detection of Lightweight Directory Access Protocol Query Injection Attacks in Web Applications. [Internet] [Thesis]. Kennesaw State University; 2015. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/1.

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

Council of Science Editors:

Bulusu P. Detection of Lightweight Directory Access Protocol Query Injection Attacks in Web Applications. [Thesis]. Kennesaw State University; 2015. Available from: https://digitalcommons.kennesaw.edu/cs_etd/1

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


Kennesaw State University

3. Atabekov, Amir R. Internet of Things-Based Smart Classroom Environment.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  Internet of Things (IoT) is a novel paradigm that is gaining ground in the Computer Science field. There’s no doubt that IoT will make… (more)

Subjects/Keywords: IoT; Internet of Things; Arduino; XBee; Smart Classroom; Indoor Localization; Other Computer Sciences; Systems Architecture

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APA (6th Edition):

Atabekov, A. R. (2016). Internet of Things-Based Smart Classroom Environment. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/2

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):

Atabekov, Amir R. “Internet of Things-Based Smart Classroom Environment.” 2016. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/2.

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

MLA Handbook (7th Edition):

Atabekov, Amir R. “Internet of Things-Based Smart Classroom Environment.” 2016. Web. 17 Aug 2018.

Vancouver:

Atabekov AR. Internet of Things-Based Smart Classroom Environment. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/2.

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

Council of Science Editors:

Atabekov AR. Internet of Things-Based Smart Classroom Environment. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/2

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


Kennesaw State University

4. Dragaj, Vehbi. Color Image Segmentation Using the Bee Algorithm in the Markovian Framework.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  This thesis presents color image segmentation as a vital step of image analysis in computer vision. A survey of the Markov Random Field (MRF)… (more)

Subjects/Keywords: Image segmentation; Markov Random Field; The Bees Algorithm; Other Computer Sciences

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APA (6th Edition):

Dragaj, V. (2016). Color Image Segmentation Using the Bee Algorithm in the Markovian Framework. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/5

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):

Dragaj, Vehbi. “Color Image Segmentation Using the Bee Algorithm in the Markovian Framework.” 2016. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/5.

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

MLA Handbook (7th Edition):

Dragaj, Vehbi. “Color Image Segmentation Using the Bee Algorithm in the Markovian Framework.” 2016. Web. 17 Aug 2018.

Vancouver:

Dragaj V. Color Image Segmentation Using the Bee Algorithm in the Markovian Framework. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/5.

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

Council of Science Editors:

Dragaj V. Color Image Segmentation Using the Bee Algorithm in the Markovian Framework. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/5

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


Kennesaw State University

5. Peruri, Ramya. Definition of a Method for the Formulation of Problems to be Solved with High Performance Computing.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  Computational power made available by current technology has been continuously increasing, however today’s problems are larger and more complex and demand even more computational… (more)

Subjects/Keywords: Parallel Computing; Concurrency Models; Shared Memory; Message Passing; Family of Problems; High Performance Computing; Computer Sciences; Other Mathematics; Science and Mathematics Education

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APA (6th Edition):

Peruri, R. (2016). Definition of a Method for the Formulation of Problems to be Solved with High Performance Computing. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/6

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):

Peruri, Ramya. “Definition of a Method for the Formulation of Problems to be Solved with High Performance Computing.” 2016. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/6.

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

MLA Handbook (7th Edition):

Peruri, Ramya. “Definition of a Method for the Formulation of Problems to be Solved with High Performance Computing.” 2016. Web. 17 Aug 2018.

Vancouver:

Peruri R. Definition of a Method for the Formulation of Problems to be Solved with High Performance Computing. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/6.

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

Council of Science Editors:

Peruri R. Definition of a Method for the Formulation of Problems to be Solved with High Performance Computing. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/6

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


Kennesaw State University

6. CHANDRASEKAR, PRIYANGA. Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  Data Mining is the extraction of valuable information from the patterns of data and turning it into useful knowledge. Data preprocessing is an important… (more)

Subjects/Keywords: Naïve Bayes Classifier; Spam Filter; Preprocessing; Map reduce; Text Classifier; Decision tree; Weka; Discretization; Entropy; Classification; Computer Sciences

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APA (6th Edition):

CHANDRASEKAR, P. (2016). Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/7

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):

CHANDRASEKAR, PRIYANGA. “Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.” 2016. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/7.

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

MLA Handbook (7th Edition):

CHANDRASEKAR, PRIYANGA. “Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.” 2016. Web. 17 Aug 2018.

Vancouver:

CHANDRASEKAR P. Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/7.

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

Council of Science Editors:

CHANDRASEKAR P. Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/7

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


Kennesaw State University

7. Brown, Joseph E. On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling.

Degree: MSCS, Computer Science, 2017, Kennesaw State University

  CPU time-share process schedulers for computer operating systems have existed since Corbato published his paper on the Compatible Time Sharing System in 1962 [8].… (more)

Subjects/Keywords: mlfq process scheduler starvation; Computational Engineering

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APA (6th Edition):

Brown, J. E. (2017). On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/8

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):

Brown, Joseph E. “On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling.” 2017. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/8.

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

MLA Handbook (7th Edition):

Brown, Joseph E. “On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling.” 2017. Web. 17 Aug 2018.

Vancouver:

Brown JE. On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling. [Internet] [Thesis]. Kennesaw State University; 2017. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/8.

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

Council of Science Editors:

Brown JE. On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling. [Thesis]. Kennesaw State University; 2017. Available from: https://digitalcommons.kennesaw.edu/cs_etd/8

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


Kennesaw State University

8. Ordonez, Pablo F. CLASSIFICATION OF IMAGES BASED ON PIXELS THAT REPRESENT A SMALL PART OF THE SCENE. A CASE APPLIED TO MICROANEURYSMS IN FUNDUS RETINA IMAGES.

Degree: MSCS, Computer Science, 2017, Kennesaw State University

  Convolutional Neural Networks (CNNs), the state of the art in image classification, have proven to be as effective as an ophthalmologist, when detecting Referable… (more)

Subjects/Keywords: Machine Learning; Convolutional Neural Networks; Retina; Other Computer Engineering

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APA (6th Edition):

Ordonez, P. F. (2017). CLASSIFICATION OF IMAGES BASED ON PIXELS THAT REPRESENT A SMALL PART OF THE SCENE. A CASE APPLIED TO MICROANEURYSMS IN FUNDUS RETINA IMAGES. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/9

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):

Ordonez, Pablo F. “CLASSIFICATION OF IMAGES BASED ON PIXELS THAT REPRESENT A SMALL PART OF THE SCENE. A CASE APPLIED TO MICROANEURYSMS IN FUNDUS RETINA IMAGES.” 2017. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/9.

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

MLA Handbook (7th Edition):

Ordonez, Pablo F. “CLASSIFICATION OF IMAGES BASED ON PIXELS THAT REPRESENT A SMALL PART OF THE SCENE. A CASE APPLIED TO MICROANEURYSMS IN FUNDUS RETINA IMAGES.” 2017. Web. 17 Aug 2018.

Vancouver:

Ordonez PF. CLASSIFICATION OF IMAGES BASED ON PIXELS THAT REPRESENT A SMALL PART OF THE SCENE. A CASE APPLIED TO MICROANEURYSMS IN FUNDUS RETINA IMAGES. [Internet] [Thesis]. Kennesaw State University; 2017. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/9.

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

Council of Science Editors:

Ordonez PF. CLASSIFICATION OF IMAGES BASED ON PIXELS THAT REPRESENT A SMALL PART OF THE SCENE. A CASE APPLIED TO MICROANEURYSMS IN FUNDUS RETINA IMAGES. [Thesis]. Kennesaw State University; 2017. Available from: https://digitalcommons.kennesaw.edu/cs_etd/9

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


Kennesaw State University

9. Cepeda Mora, Carlos A. Feature Selection and Improving Classification Performance for Malware Detection.

Degree: MSCS, Computer Science, 2017, Kennesaw State University

  The ubiquitous advance of technology has been conducive to the proliferation of cyber threats, resulting in attacks that have grown exponentially. Consequently, researchers have… (more)

Subjects/Keywords: Cyber Security; Machine Learning; Feature selection; Malware detection; Other Computer Engineering

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

APA (6th Edition):

Cepeda Mora, C. A. (2017). Feature Selection and Improving Classification Performance for Malware Detection. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/10

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):

Cepeda Mora, Carlos A. “Feature Selection and Improving Classification Performance for Malware Detection.” 2017. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/10.

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

MLA Handbook (7th Edition):

Cepeda Mora, Carlos A. “Feature Selection and Improving Classification Performance for Malware Detection.” 2017. Web. 17 Aug 2018.

Vancouver:

Cepeda Mora CA. Feature Selection and Improving Classification Performance for Malware Detection. [Internet] [Thesis]. Kennesaw State University; 2017. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/10.

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

Council of Science Editors:

Cepeda Mora CA. Feature Selection and Improving Classification Performance for Malware Detection. [Thesis]. Kennesaw State University; 2017. Available from: https://digitalcommons.kennesaw.edu/cs_etd/10

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


Kennesaw State University

10. Dong, Miao. Towards Understanding and Developing Virtual Environments to Increase Accessibilities for People with Visual Impairments.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  The primary goal of this research is to investigate the possibilities of utilizing audio feedback to support effective Human-Computer Interaction Virtual Environments (VEs) without… (more)

Subjects/Keywords: Virtual reality; Assistive technology; 3D auditory feedback; user study; Graphics and Human Computer Interfaces

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APA (6th Edition):

Dong, M. (2016). Towards Understanding and Developing Virtual Environments to Increase Accessibilities for People with Visual Impairments. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/4

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):

Dong, Miao. “Towards Understanding and Developing Virtual Environments to Increase Accessibilities for People with Visual Impairments.” 2016. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/4.

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

MLA Handbook (7th Edition):

Dong, Miao. “Towards Understanding and Developing Virtual Environments to Increase Accessibilities for People with Visual Impairments.” 2016. Web. 17 Aug 2018.

Vancouver:

Dong M. Towards Understanding and Developing Virtual Environments to Increase Accessibilities for People with Visual Impairments. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/4.

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

Council of Science Editors:

Dong M. Towards Understanding and Developing Virtual Environments to Increase Accessibilities for People with Visual Impairments. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/4

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


Kennesaw State University

11. Settisara Janney, Srivarna. NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS.

Degree: MSCS, Computer Science, 2018, Kennesaw State University

  Magnetic resonance imaging (MRI) is one of the most accurate imaging techniques that can be used to detect several diseases, where other imaging methodologies… (more)

Subjects/Keywords: Compressed Sensing(CS) of MRI; Wavelet tree sparsity; Directional wavelet; Bioimaging and Biomedical Optics; Biomedical; Signal Processing

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

APA (6th Edition):

Settisara Janney, S. (2018). NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/11

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):

Settisara Janney, Srivarna. “NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS.” 2018. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/11.

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

MLA Handbook (7th Edition):

Settisara Janney, Srivarna. “NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS.” 2018. Web. 17 Aug 2018.

Vancouver:

Settisara Janney S. NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/11.

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

Council of Science Editors:

Settisara Janney S. NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/cs_etd/11

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


Kennesaw State University

12. patel, Nidhi. An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition.

Degree: MSCS, Computer Science, 2018, Kennesaw State University

  Evaluation of traditional classroom has led to electronic classroom i.e. e-learning. Growth of traditional classroom doesn’t stop at e-learning or distance learning. Next step… (more)

Subjects/Keywords: Raspberry Pi; Image to text conversion; Convolution Neural Network; Computer vision; Hand Gesture recognition; Digital Circuits; Digital Communications and Networking; Hardware Systems

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

APA (6th Edition):

patel, N. (2018). An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/13

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):

patel, Nidhi. “An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition.” 2018. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/13.

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

MLA Handbook (7th Edition):

patel, Nidhi. “An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition.” 2018. Web. 17 Aug 2018.

Vancouver:

patel N. An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/13.

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

Council of Science Editors:

patel N. An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/cs_etd/13

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


Kennesaw State University

13. Ko, Euiseong. Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis.

Degree: MSCS, Computer Science, 2018, Kennesaw State University

  Malware is dramatically increasing its viability while hiding its malicious intent and/or behavior by employing ciphers. So far, many efforts have been made to… (more)

Subjects/Keywords: Malware Detection

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

APA (6th Edition):

Ko, E. (2018). Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/14

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):

Ko, Euiseong. “Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis.” 2018. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/14.

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

MLA Handbook (7th Edition):

Ko, Euiseong. “Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis.” 2018. Web. 17 Aug 2018.

Vancouver:

Ko E. Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/14.

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

Council of Science Editors:

Ko E. Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/cs_etd/14

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

14. Kaur, Harneet. Blocking Negative Influential Node Set in Social Networks: From Host Perspective.

Degree: MSCS, Computer Science, 2015, Kennesaw State University

  Nowadays, social networks are considered as the very important medium for the spreading of information, innovations, ideas and influences among individuals. Viral marketing is… (more)

Subjects/Keywords: influence maximization; social network; influential node set; positive influence; negative influence; host perspective; viral marketing; Computer Sciences

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

APA (6th Edition):

Kaur, H. (2015). Blocking Negative Influential Node Set in Social Networks: From Host Perspective. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/etd/668

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):

Kaur, Harneet. “Blocking Negative Influential Node Set in Social Networks: From Host Perspective.” 2015. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/etd/668.

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

MLA Handbook (7th Edition):

Kaur, Harneet. “Blocking Negative Influential Node Set in Social Networks: From Host Perspective.” 2015. Web. 17 Aug 2018.

Vancouver:

Kaur H. Blocking Negative Influential Node Set in Social Networks: From Host Perspective. [Internet] [Thesis]. Kennesaw State University; 2015. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/etd/668.

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

Council of Science Editors:

Kaur H. Blocking Negative Influential Node Set in Social Networks: From Host Perspective. [Thesis]. Kennesaw State University; 2015. Available from: https://digitalcommons.kennesaw.edu/etd/668

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

15. Chenna, Pooja. Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  In the present big data era, there is a need to process large amounts of unlabeled data and find some patterns in the data… (more)

Subjects/Keywords: dimension reduction; PCA; SVD; deep learning; stacked auto-encoders; DBN; visualization; entropy; Other Computer Engineering

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

APA (6th Edition):

Chenna, P. (2016). Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/3

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):

Chenna, Pooja. “Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space.” 2016. Thesis, Kennesaw State University. Accessed August 17, 2018. https://digitalcommons.kennesaw.edu/cs_etd/3.

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

MLA Handbook (7th Edition):

Chenna, Pooja. “Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space.” 2016. Web. 17 Aug 2018.

Vancouver:

Chenna P. Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2018 Aug 17]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/3.

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

Council of Science Editors:

Chenna P. Comparative Study of Dimension Reduction Approaches With Respect to Visualization in 3-Dimensional Space. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/3

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

.