+publisher:"San Jose State University" +contributor:("Chris Pollett")

San Jose State University

1. Pham, Bao. AI Dining Suggestion App.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.58u5-72hz ; https://scholarworks.sjsu.edu/etd_projects/706

► Trying to decide what to eat can sometimes be challenging and time-consuming for people. Google and Yelp have large scale data sets of restaurant… (more)

Subjects/Keywords: Food Recommendation System; Reinforcement Learning; Artificial Intelligence and Robotics; Other Computer Sciences

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APA (6^th Edition):

Pham, B. (2019). AI Dining Suggestion App. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.58u5-72hz ; https://scholarworks.sjsu.edu/etd_projects/706

Chicago Manual of Style (16^th Edition):

Pham, Bao. “AI Dining Suggestion App.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.58u5-72hz ; https://scholarworks.sjsu.edu/etd_projects/706.

MLA Handbook (7^th Edition):

Pham, Bao. “AI Dining Suggestion App.” 2019. Web. 10 Dec 2019.

Vancouver:

Pham B. AI Dining Suggestion App. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.58u5-72hz ; https://scholarworks.sjsu.edu/etd_projects/706.

Council of Science Editors:

Pham B. AI Dining Suggestion App. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.58u5-72hz ; https://scholarworks.sjsu.edu/etd_projects/706

San Jose State University

2. Duggirala, Sharan. An Industry Driven Genre Classification Application using Natural Language Processing.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737

► With the advent of digitized music, many online streaming companies such as Spotify have capitalized on a listener’s need for a common stream platform.… (more)

Subjects/Keywords: music recommendation; music genre classification; Hierarchical Attention Networks; Computer Sciences

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APA (6^th Edition):

Duggirala, S. (2019). An Industry Driven Genre Classification Application using Natural Language Processing. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737

Chicago Manual of Style (16^th Edition):

Duggirala, Sharan. “An Industry Driven Genre Classification Application using Natural Language Processing.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737.

MLA Handbook (7^th Edition):

Duggirala, Sharan. “An Industry Driven Genre Classification Application using Natural Language Processing.” 2019. Web. 10 Dec 2019.

Vancouver:

Duggirala S. An Industry Driven Genre Classification Application using Natural Language Processing. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737.

Council of Science Editors:

Duggirala S. An Industry Driven Genre Classification Application using Natural Language Processing. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.gyyw-7de5 ; https://scholarworks.sjsu.edu/etd_projects/737

San Jose State University

3. Mani, Nag. On Adversarial Attacks on Deep Learning Models.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.49ee-sknc ; https://scholarworks.sjsu.edu/etd_projects/742

► With recent advancements in the field of artificial intelligence, deep learning has created a niche in the technology space and is being actively used… (more)

Subjects/Keywords: image neural net attacks; adversarial retraining techniques; Artificial Intelligence and Robotics

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APA (6^th Edition):

Mani, N. (2019). On Adversarial Attacks on Deep Learning Models. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.49ee-sknc ; https://scholarworks.sjsu.edu/etd_projects/742

Chicago Manual of Style (16^th Edition):

Mani, Nag. “On Adversarial Attacks on Deep Learning Models.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.49ee-sknc ; https://scholarworks.sjsu.edu/etd_projects/742.

MLA Handbook (7^th Edition):

Mani, Nag. “On Adversarial Attacks on Deep Learning Models.” 2019. Web. 10 Dec 2019.

Vancouver:

Mani N. On Adversarial Attacks on Deep Learning Models. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.49ee-sknc ; https://scholarworks.sjsu.edu/etd_projects/742.

Council of Science Editors:

Mani N. On Adversarial Attacks on Deep Learning Models. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.49ee-sknc ; https://scholarworks.sjsu.edu/etd_projects/742

San Jose State University

4. Koppaka, Ravali. MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.z5tm-9zfg ; https://scholarworks.sjsu.edu/etd_projects/734

► Recently, there has been a remarkable growth in Artificial Intelligence (AI) with the development of efficient AI models and high-power computational resources for processing… (more)

Subjects/Keywords: crop classification; india; machine learning models; satellite images; Artificial Intelligence and Robotics; Other Computer Sciences

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APA (6^th Edition):

Koppaka, R. (2019). MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.z5tm-9zfg ; https://scholarworks.sjsu.edu/etd_projects/734

Chicago Manual of Style (16^th Edition):

Koppaka, Ravali. “MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.z5tm-9zfg ; https://scholarworks.sjsu.edu/etd_projects/734.

MLA Handbook (7^th Edition):

Koppaka, Ravali. “MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE.” 2019. Web. 10 Dec 2019.

Vancouver:

Koppaka R. MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.z5tm-9zfg ; https://scholarworks.sjsu.edu/etd_projects/734.

Council of Science Editors:

Koppaka R. MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.z5tm-9zfg ; https://scholarworks.sjsu.edu/etd_projects/734

San Jose State University

5. Ordonia, Samuel. Detecting Cars in a Parking Lot using Deep Learning.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.m6as-epyd ; https://scholarworks.sjsu.edu/etd_projects/696

► Detection of cars in a parking lot with deep learning involves locating all objects of interest in a parking lot image and classifying the… (more)

Subjects/Keywords: parking lot images; Yolo; CNN; Deep Learning; Artificial Intelligence and Robotics

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APA (6^th Edition):

Ordonia, S. (2019). Detecting Cars in a Parking Lot using Deep Learning. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.m6as-epyd ; https://scholarworks.sjsu.edu/etd_projects/696

Chicago Manual of Style (16^th Edition):

Ordonia, Samuel. “Detecting Cars in a Parking Lot using Deep Learning.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.m6as-epyd ; https://scholarworks.sjsu.edu/etd_projects/696.

MLA Handbook (7^th Edition):

Ordonia, Samuel. “Detecting Cars in a Parking Lot using Deep Learning.” 2019. Web. 10 Dec 2019.

Vancouver:

Ordonia S. Detecting Cars in a Parking Lot using Deep Learning. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.m6as-epyd ; https://scholarworks.sjsu.edu/etd_projects/696.

Council of Science Editors:

Ordonia S. Detecting Cars in a Parking Lot using Deep Learning. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.m6as-epyd ; https://scholarworks.sjsu.edu/etd_projects/696

San Jose State University

6. Vyas, Parth. POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.w8ug-4v5c ; https://scholarworks.sjsu.edu/etd_projects/695

► The emergence of large datasets and major improvements in Deep Learning has lead to many real-world applications. These applications have been focused on automotive… (more)

Subjects/Keywords: Pose Estimatation; Action Recognition; Deep Learning; Artificial Intelligence and Robotics; Other Computer Sciences

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APA (6^th Edition):

Vyas, P. (2019). POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.w8ug-4v5c ; https://scholarworks.sjsu.edu/etd_projects/695

Chicago Manual of Style (16^th Edition):

Vyas, Parth. “POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.w8ug-4v5c ; https://scholarworks.sjsu.edu/etd_projects/695.

MLA Handbook (7^th Edition):

Vyas, Parth. “POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS.” 2019. Web. 10 Dec 2019.

Vancouver:

Vyas P. POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.w8ug-4v5c ; https://scholarworks.sjsu.edu/etd_projects/695.

Council of Science Editors:

Vyas P. POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.w8ug-4v5c ; https://scholarworks.sjsu.edu/etd_projects/695

San Jose State University

7. Akella, Revanth. MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736

► Grouping music into moods is useful as music is migrating from to online streaming services as it can help in recommendations. To establish the… (more)

Subjects/Keywords: Deep learning; lyric extraction; mood classification; music classification; natural language processing; tag extraction; Artificial Intelligence and Robotics; Other Computer Sciences

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APA (6^th Edition):

Akella, R. (2019). MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736

Chicago Manual of Style (16^th Edition):

Akella, Revanth. “MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736.

MLA Handbook (7^th Edition):

Akella, Revanth. “MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.” 2019. Web. 10 Dec 2019.

Vancouver:

Akella R. MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736.

Council of Science Editors:

Akella R. MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.6cnh-j963 ; https://scholarworks.sjsu.edu/etd_projects/736

San Jose State University

8. Shahab, Shehba. NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.z4v2-k6gg ; https://scholarworks.sjsu.edu/etd_projects/684

► Skills-based hiring is a talent management approach that empowers employers to align recruitment around business results, rather than around credentials and title. It starts… (more)

Subjects/Keywords: Recommender Systems; Collaborative Filtering; Hybrid Approach; Job search; Artificial Intelligence and Robotics; Other Computer Sciences

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APA (6^th Edition):

Shahab, S. (2019). NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.z4v2-k6gg ; https://scholarworks.sjsu.edu/etd_projects/684

Chicago Manual of Style (16^th Edition):

Shahab, Shehba. “NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.z4v2-k6gg ; https://scholarworks.sjsu.edu/etd_projects/684.

MLA Handbook (7^th Edition):

Shahab, Shehba. “NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS.” 2019. Web. 10 Dec 2019.

Vancouver:

Shahab S. NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.z4v2-k6gg ; https://scholarworks.sjsu.edu/etd_projects/684.

Council of Science Editors:

Shahab S. NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.z4v2-k6gg ; https://scholarworks.sjsu.edu/etd_projects/684

San Jose State University

9. Shekhar, Heemany. Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.9uyx-g9xz ; https://scholarworks.sjsu.edu/etd_projects/741

► CAPTCHA is a web-based authentication method used by websites to distinguish between humans (valid users) and bots(attackers). Audio captcha is an accessible captcha meant… (more)

Subjects/Keywords: audio captchas; BIM; DeepFool; Artificial Intelligence and Robotics; Information Security

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APA (6^th Edition):

Shekhar, H. (2019). Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.9uyx-g9xz ; https://scholarworks.sjsu.edu/etd_projects/741

Chicago Manual of Style (16^th Edition):

Shekhar, Heemany. “Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.9uyx-g9xz ; https://scholarworks.sjsu.edu/etd_projects/741.

MLA Handbook (7^th Edition):

Shekhar, Heemany. “Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism.” 2019. Web. 10 Dec 2019.

Vancouver:

Shekhar H. Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.9uyx-g9xz ; https://scholarworks.sjsu.edu/etd_projects/741.

Council of Science Editors:

Shekhar H. Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.9uyx-g9xz ; https://scholarworks.sjsu.edu/etd_projects/741

San Jose State University

10. Deshmukh, Kunal Rajan. Image Compression Using Neural Networks.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666

► Image compression is a well-studied field of Computer Vision. Recently, many neural network based architectures have been proposed for image compression as well as… (more)

Subjects/Keywords: Convolutional Neural Networks; Generative Adversarial Networks; Artificial Intelligence and Robotics

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APA (6^th Edition):

Deshmukh, K. R. (2019). Image Compression Using Neural Networks. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666

Chicago Manual of Style (16^th Edition):

Deshmukh, Kunal Rajan. “Image Compression Using Neural Networks.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666.

MLA Handbook (7^th Edition):

Deshmukh, Kunal Rajan. “Image Compression Using Neural Networks.” 2019. Web. 10 Dec 2019.

Vancouver:

Deshmukh KR. Image Compression Using Neural Networks. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666.

Council of Science Editors:

Deshmukh KR. Image Compression Using Neural Networks. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666

San Jose State University

11. Ho, Yangcha. A WebRTC Video Chat Implementation Within the Yioop Search Engine.

Degree: MS, Computer Science, 2019, San Jose State University

URL: https://doi.org/10.31979/etd.dtz2-hstt ; https://scholarworks.sjsu.edu/etd_projects/726

► Web real-time communication (abbreviated as WebRTC) is one of the latest Web application technologies that allows voice, video, and data to work collectively in… (more)

Subjects/Keywords: WebRTC; video chat; Other Computer Sciences; Software Engineering

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APA (6^th Edition):

Ho, Y. (2019). A WebRTC Video Chat Implementation Within the Yioop Search Engine. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.dtz2-hstt ; https://scholarworks.sjsu.edu/etd_projects/726

Chicago Manual of Style (16^th Edition):

Ho, Yangcha. “A WebRTC Video Chat Implementation Within the Yioop Search Engine.” 2019. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.dtz2-hstt ; https://scholarworks.sjsu.edu/etd_projects/726.

MLA Handbook (7^th Edition):

Ho, Yangcha. “A WebRTC Video Chat Implementation Within the Yioop Search Engine.” 2019. Web. 10 Dec 2019.

Vancouver:

Ho Y. A WebRTC Video Chat Implementation Within the Yioop Search Engine. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.dtz2-hstt ; https://scholarworks.sjsu.edu/etd_projects/726.

Council of Science Editors:

Ho Y. A WebRTC Video Chat Implementation Within the Yioop Search Engine. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.dtz2-hstt ; https://scholarworks.sjsu.edu/etd_projects/726

San Jose State University

12. Vibhandik, Rohan. Online and Offline eBook Management System using W-CMS.

Degree: MS, Computer Science, 2011, San Jose State University

URL: https://doi.org/10.31979/etd.bdxv-mx7c ; https://scholarworks.sjsu.edu/etd_projects/183

► In this internet and smart-phone era paper books are almost obsolete. Many developers have come up with the eBooks which can be read online… (more)

▼ In this internet and smart-phone era paper books are almost obsolete. Many developers have come up with the eBooks which can be read online on computer or on a smart-phone. Users can now access them offline any time without carrying a bulky pBook (Paper Book). The stable eBook application should restrict and control the use of contents to protect the copyrights. Encryption and enforcement of digital policies are generally managed by Digital Rights Management (DRM). The stable system for online as well as offline readers safeguard the intellectual properties for authors, publishers by providing a protection to their digital content, secure eBook distribution, authentication, authorization, market involvement, and monetary transactions [1, 2, 3]. Content Piracy has always been a prime issue in managing a Library System. To safeguard against piracy, publishers need to control and track whether the user is authorized or not and up to how much extent the privileges should be provided [4]. Publishers, authors are concerned about the revenue lost over unauthorized, unpaid access to their valuable contents and efforts as well. This is an old issue with pBooks that has now come in the forefront with the introduction of online and offline eBook applications. A solution needs to be proposed to provide a good user experience and content security, and integrity for publishers. In this project, we will explore how the user restrictions and access controls can be enforced using a Content Management System (CMS). Drupal [17], Joomla [18], and WordPress [19] are few of the powerful CMSs where a developer has to integrate various modules with core modules and configure them as per the need of an organization. We will focus on effective use of Drupal for importing an eBook (e.g. .doc, .docx etc. formats) to Drupal for managing user and administrative policies to develop an eLibrary System for University environment. Advisors/Committee Members: Chris Tseng, Chris Pollett, Mark Stamp.

Subjects/Keywords: ebook content management system security; Other Computer Sciences; Software Engineering

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APA (6^th Edition):

Vibhandik, R. (2011). Online and Offline eBook Management System using W-CMS. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.bdxv-mx7c ; https://scholarworks.sjsu.edu/etd_projects/183

Chicago Manual of Style (16^th Edition):

Vibhandik, Rohan. “Online and Offline eBook Management System using W-CMS.” 2011. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.bdxv-mx7c ; https://scholarworks.sjsu.edu/etd_projects/183.

MLA Handbook (7^th Edition):

Vibhandik, Rohan. “Online and Offline eBook Management System using W-CMS.” 2011. Web. 10 Dec 2019.

Vancouver:

Vibhandik R. Online and Offline eBook Management System using W-CMS. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.bdxv-mx7c ; https://scholarworks.sjsu.edu/etd_projects/183.

Council of Science Editors:

Vibhandik R. Online and Offline eBook Management System using W-CMS. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.bdxv-mx7c ; https://scholarworks.sjsu.edu/etd_projects/183

San Jose State University

13. Sharma, Shruti. BitFed, A Centralized Cryptocurrency with Distributed Miners.

Degree: MS, Computer Science, 2015, San Jose State University

URL: https://doi.org/10.31979/etd.g272-npmh ; https://scholarworks.sjsu.edu/etd_projects/429

► Bitcoin is a decentralized peer-to-peer electronic currency wherein all the payments are sent from one transactor to another directly [1]. Financial institutions are not… (more)

Subjects/Keywords: Computer Sciences

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APA (6^th Edition):

Sharma, S. (2015). BitFed, A Centralized Cryptocurrency with Distributed Miners. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.g272-npmh ; https://scholarworks.sjsu.edu/etd_projects/429

Chicago Manual of Style (16^th Edition):

Sharma, Shruti. “BitFed, A Centralized Cryptocurrency with Distributed Miners.” 2015. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.g272-npmh ; https://scholarworks.sjsu.edu/etd_projects/429.

MLA Handbook (7^th Edition):

Sharma, Shruti. “BitFed, A Centralized Cryptocurrency with Distributed Miners.” 2015. Web. 10 Dec 2019.

Vancouver:

Sharma S. BitFed, A Centralized Cryptocurrency with Distributed Miners. [Internet] [Masters thesis]. San Jose State University; 2015. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.g272-npmh ; https://scholarworks.sjsu.edu/etd_projects/429.

Council of Science Editors:

Sharma S. BitFed, A Centralized Cryptocurrency with Distributed Miners. [Masters Thesis]. San Jose State University; 2015. Available from: https://doi.org/10.31979/etd.g272-npmh ; https://scholarworks.sjsu.edu/etd_projects/429

San Jose State University

14. Mungale, Mausami. Robust Watermarking using Hidden Markov Models.

Degree: MS, Computer Science, 2011, San Jose State University

URL: https://doi.org/10.31979/etd.quhn-2prg ; https://scholarworks.sjsu.edu/etd_projects/179

► Software piracy is the unauthorized copying or distribution of software. It is a growing problem that results in annual losses in the billions of… (more)

Subjects/Keywords: digital watermarking HMM; Other Computer Sciences

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

APA (6^th Edition):

Mungale, M. (2011). Robust Watermarking using Hidden Markov Models. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.quhn-2prg ; https://scholarworks.sjsu.edu/etd_projects/179

Chicago Manual of Style (16^th Edition):

Mungale, Mausami. “Robust Watermarking using Hidden Markov Models.” 2011. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.quhn-2prg ; https://scholarworks.sjsu.edu/etd_projects/179.

MLA Handbook (7^th Edition):

Mungale, Mausami. “Robust Watermarking using Hidden Markov Models.” 2011. Web. 10 Dec 2019.

Vancouver:

Mungale M. Robust Watermarking using Hidden Markov Models. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.quhn-2prg ; https://scholarworks.sjsu.edu/etd_projects/179.

Council of Science Editors:

Mungale M. Robust Watermarking using Hidden Markov Models. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.quhn-2prg ; https://scholarworks.sjsu.edu/etd_projects/179

San Jose State University

15. Kathiravan, Manodivya. WEB - BASED OFFICE MARKET.

Degree: MS, Computer Science, 2017, San Jose State University

URL: https://doi.org/10.31979/etd.ejxr-m56a ; https://scholarworks.sjsu.edu/etd_projects/534

► People who work in an office often have different pools of resources that they want to exchange. They want to trade their resources/work(seller) with… (more)

Subjects/Keywords: Multi-way Web Based Barter Exchange; auction systems; Other Computer Sciences; Software Engineering

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APA (6^th Edition):

Kathiravan, M. (2017). WEB - BASED OFFICE MARKET. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.ejxr-m56a ; https://scholarworks.sjsu.edu/etd_projects/534

Chicago Manual of Style (16^th Edition):

Kathiravan, Manodivya. “WEB - BASED OFFICE MARKET.” 2017. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.ejxr-m56a ; https://scholarworks.sjsu.edu/etd_projects/534.

MLA Handbook (7^th Edition):

Kathiravan, Manodivya. “WEB - BASED OFFICE MARKET.” 2017. Web. 10 Dec 2019.

Vancouver:

Kathiravan M. WEB - BASED OFFICE MARKET. [Internet] [Masters thesis]. San Jose State University; 2017. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.ejxr-m56a ; https://scholarworks.sjsu.edu/etd_projects/534.

Council of Science Editors:

Kathiravan M. WEB - BASED OFFICE MARKET. [Masters Thesis]. San Jose State University; 2017. Available from: https://doi.org/10.31979/etd.ejxr-m56a ; https://scholarworks.sjsu.edu/etd_projects/534

San Jose State University

16. Patel, Mahim. Similarity Tests for Metamorphic Virus Detection.

Degree: MS, Computer Science, 2011, San Jose State University

URL: https://doi.org/10.31979/etd.6j9f-9drn ; https://scholarworks.sjsu.edu/etd_projects/175

► A metamorphic computer virus generates copies of itself using code morphing techniques. A new virus has the same functionality as the parent but it… (more)

Subjects/Keywords: HMM edit distance sequence alignment Metamorphic Virus Detection; Other Computer Sciences

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APA (6^th Edition):

Patel, M. (2011). Similarity Tests for Metamorphic Virus Detection. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.6j9f-9drn ; https://scholarworks.sjsu.edu/etd_projects/175

Chicago Manual of Style (16^th Edition):

Patel, Mahim. “Similarity Tests for Metamorphic Virus Detection.” 2011. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.6j9f-9drn ; https://scholarworks.sjsu.edu/etd_projects/175.

MLA Handbook (7^th Edition):

Patel, Mahim. “Similarity Tests for Metamorphic Virus Detection.” 2011. Web. 10 Dec 2019.

Vancouver:

Patel M. Similarity Tests for Metamorphic Virus Detection. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.6j9f-9drn ; https://scholarworks.sjsu.edu/etd_projects/175.

Council of Science Editors:

Patel M. Similarity Tests for Metamorphic Virus Detection. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.6j9f-9drn ; https://scholarworks.sjsu.edu/etd_projects/175

San Jose State University

17. Widjaja, Sugiharto. Web-Based IDE to Create Model and Controller Components for MVC-based Web Applications on CakePHP.

Degree: MS, Computer Science, 2010, San Jose State University

URL: https://doi.org/10.31979/etd.mq7g-jkjc ; https://scholarworks.sjsu.edu/etd_projects/1

► A Web-based IDE that allows users to easily manage Model and Controller components of a CakePHP web application was developed. With this IDE, users are… (more)

Subjects/Keywords: MVC IDE Web Applications CakePHP; Graphics and Human Computer Interfaces; Software Engineering

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

APA (6^th Edition):

Widjaja, S. (2010). Web-Based IDE to Create Model and Controller Components for MVC-based Web Applications on CakePHP. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.mq7g-jkjc ; https://scholarworks.sjsu.edu/etd_projects/1

Chicago Manual of Style (16^th Edition):

Widjaja, Sugiharto. “Web-Based IDE to Create Model and Controller Components for MVC-based Web Applications on CakePHP.” 2010. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.mq7g-jkjc ; https://scholarworks.sjsu.edu/etd_projects/1.

MLA Handbook (7^th Edition):

Widjaja, Sugiharto. “Web-Based IDE to Create Model and Controller Components for MVC-based Web Applications on CakePHP.” 2010. Web. 10 Dec 2019.

Vancouver:

Widjaja S. Web-Based IDE to Create Model and Controller Components for MVC-based Web Applications on CakePHP. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.mq7g-jkjc ; https://scholarworks.sjsu.edu/etd_projects/1.

Council of Science Editors:

Widjaja S. Web-Based IDE to Create Model and Controller Components for MVC-based Web Applications on CakePHP. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.mq7g-jkjc ; https://scholarworks.sjsu.edu/etd_projects/1

San Jose State University

18. Kabra, Sonal. Neural Net Stock Trend Predictor.

Degree: MS, Computer Science, 2017, San Jose State University

URL: https://doi.org/10.31979/etd.fuhh-ev5s ; https://scholarworks.sjsu.edu/etd_projects/533

► This report analyzes new and existing stock market prediction techniques. Traditional technical analysis was combined with various machine-learning approaches such as artificial neural networks,… (more)

Subjects/Keywords: technical analysis; neural nets; stock prediction; Artificial Intelligence and Robotics

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APA (6^th Edition):

Kabra, S. (2017). Neural Net Stock Trend Predictor. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.fuhh-ev5s ; https://scholarworks.sjsu.edu/etd_projects/533

Chicago Manual of Style (16^th Edition):

Kabra, Sonal. “Neural Net Stock Trend Predictor.” 2017. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.fuhh-ev5s ; https://scholarworks.sjsu.edu/etd_projects/533.

MLA Handbook (7^th Edition):

Kabra, Sonal. “Neural Net Stock Trend Predictor.” 2017. Web. 10 Dec 2019.

Vancouver:

Kabra S. Neural Net Stock Trend Predictor. [Internet] [Masters thesis]. San Jose State University; 2017. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.fuhh-ev5s ; https://scholarworks.sjsu.edu/etd_projects/533.

Council of Science Editors:

Kabra S. Neural Net Stock Trend Predictor. [Masters Thesis]. San Jose State University; 2017. Available from: https://doi.org/10.31979/etd.fuhh-ev5s ; https://scholarworks.sjsu.edu/etd_projects/533

San Jose State University

19. Kollam Chandranna, Amith. An Online Versions of Hyperlinked-Induced Topics Search (HITS) Algorithm.

Degree: MS, Computer Science, 2010, San Jose State University

URL: https://doi.org/10.31979/etd.x48q-xsac ; https://scholarworks.sjsu.edu/etd_projects/3

► Generally, search engines perform the ranking of web pages in an offline mode, which is after the web pages have been retrieved and stored in… (more)

Subjects/Keywords: HITS online algorithm search engine; Databases and Information Systems

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APA (6^th Edition):

Kollam Chandranna, A. (2010). An Online Versions of Hyperlinked-Induced Topics Search (HITS) Algorithm. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.x48q-xsac ; https://scholarworks.sjsu.edu/etd_projects/3

Chicago Manual of Style (16^th Edition):

Kollam Chandranna, Amith. “An Online Versions of Hyperlinked-Induced Topics Search (HITS) Algorithm.” 2010. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.x48q-xsac ; https://scholarworks.sjsu.edu/etd_projects/3.

MLA Handbook (7^th Edition):

Kollam Chandranna, Amith. “An Online Versions of Hyperlinked-Induced Topics Search (HITS) Algorithm.” 2010. Web. 10 Dec 2019.

Vancouver:

Kollam Chandranna A. An Online Versions of Hyperlinked-Induced Topics Search (HITS) Algorithm. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.x48q-xsac ; https://scholarworks.sjsu.edu/etd_projects/3.

Council of Science Editors:

Kollam Chandranna A. An Online Versions of Hyperlinked-Induced Topics Search (HITS) Algorithm. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.x48q-xsac ; https://scholarworks.sjsu.edu/etd_projects/3

San Jose State University

20. Luong, Varian. Intrusion Detection And Prevention System: SQL-Injection Attacks.

Degree: MS, Computer Science, 2010, San Jose State University

URL: https://doi.org/10.31979/etd.57bu-ndpx ; https://scholarworks.sjsu.edu/etd_projects/16

► Personally identifiable information (PII) is information regarding things such as bank accounts, retirement or stock investment accounts, credit card accounts, medical records, or insurance claims.… (more)

Subjects/Keywords: Web Security SQL Injection Attacks; Other Computer Sciences

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APA (6^th Edition):

Luong, V. (2010). Intrusion Detection And Prevention System: SQL-Injection Attacks. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.57bu-ndpx ; https://scholarworks.sjsu.edu/etd_projects/16

Chicago Manual of Style (16^th Edition):

Luong, Varian. “Intrusion Detection And Prevention System: SQL-Injection Attacks.” 2010. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.57bu-ndpx ; https://scholarworks.sjsu.edu/etd_projects/16.

MLA Handbook (7^th Edition):

Luong, Varian. “Intrusion Detection And Prevention System: SQL-Injection Attacks.” 2010. Web. 10 Dec 2019.

Vancouver:

Luong V. Intrusion Detection And Prevention System: SQL-Injection Attacks. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.57bu-ndpx ; https://scholarworks.sjsu.edu/etd_projects/16.

Council of Science Editors:

Luong V. Intrusion Detection And Prevention System: SQL-Injection Attacks. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.57bu-ndpx ; https://scholarworks.sjsu.edu/etd_projects/16

San Jose State University

21. Sampath, Sowmya. One Social.

Degree: MS, Computer Science, 2010, San Jose State University

URL: https://doi.org/10.31979/etd.rdke-7vub ; https://scholarworks.sjsu.edu/etd_projects/6

► Facebook streams and Twitter tweets represent user content in two common social media systems. Users often have accounts on both these systems and to keep… (more)

Subjects/Keywords: Social Networking Web Service Threading; Graphics and Human Computer Interfaces; Software Engineering

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

APA (6^th Edition):

Sampath, S. (2010). One Social. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.rdke-7vub ; https://scholarworks.sjsu.edu/etd_projects/6

Chicago Manual of Style (16^th Edition):

Sampath, Sowmya. “One Social.” 2010. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.rdke-7vub ; https://scholarworks.sjsu.edu/etd_projects/6.

MLA Handbook (7^th Edition):

Sampath, Sowmya. “One Social.” 2010. Web. 10 Dec 2019.

Vancouver:

Sampath S. One Social. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.rdke-7vub ; https://scholarworks.sjsu.edu/etd_projects/6.

Council of Science Editors:

Sampath S. One Social. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.rdke-7vub ; https://scholarworks.sjsu.edu/etd_projects/6

San Jose State University

22. Zhang, Shujia. Intelligent Web Crawler for Semantic Search Engine.

Degree: MS, Computer Science, 2017, San Jose State University

URL: https://doi.org/10.31979/etd.cu4m-suvd ; https://scholarworks.sjsu.edu/etd_projects/508

► A Semantic Search Engine (SSE) is a program that produces semantic-oriented concepts from the Internet. A web crawler is the front end of our… (more)

Subjects/Keywords: Semantic Web Crawler; Stop words; Databases and Information Systems

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

APA (6^th Edition):

Zhang, S. (2017). Intelligent Web Crawler for Semantic Search Engine. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.cu4m-suvd ; https://scholarworks.sjsu.edu/etd_projects/508

Chicago Manual of Style (16^th Edition):

Zhang, Shujia. “Intelligent Web Crawler for Semantic Search Engine.” 2017. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.cu4m-suvd ; https://scholarworks.sjsu.edu/etd_projects/508.

MLA Handbook (7^th Edition):

Zhang, Shujia. “Intelligent Web Crawler for Semantic Search Engine.” 2017. Web. 10 Dec 2019.

Vancouver:

Zhang S. Intelligent Web Crawler for Semantic Search Engine. [Internet] [Masters thesis]. San Jose State University; 2017. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.cu4m-suvd ; https://scholarworks.sjsu.edu/etd_projects/508.

Council of Science Editors:

Zhang S. Intelligent Web Crawler for Semantic Search Engine. [Masters Thesis]. San Jose State University; 2017. Available from: https://doi.org/10.31979/etd.cu4m-suvd ; https://scholarworks.sjsu.edu/etd_projects/508

San Jose State University

23. Pamidi, Vijaya. Smart Search: A Firefox Add-On to Compute a Web Traffic Ranking.

Degree: MS, Computer Science, 2011, San Jose State University

URL: https://doi.org/10.31979/etd.crj3-vwgx ; https://scholarworks.sjsu.edu/etd_projects/169

► Search engines results are typically ordered according to some notion of importance of a web page as well as relevance of the content of… (more)

Subjects/Keywords: Browser Toolbar Traffic Rank; Databases and Information Systems

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

APA (6^th Edition):

Pamidi, V. (2011). Smart Search: A Firefox Add-On to Compute a Web Traffic Ranking. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.crj3-vwgx ; https://scholarworks.sjsu.edu/etd_projects/169

Chicago Manual of Style (16^th Edition):

Pamidi, Vijaya. “Smart Search: A Firefox Add-On to Compute a Web Traffic Ranking.” 2011. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.crj3-vwgx ; https://scholarworks.sjsu.edu/etd_projects/169.

MLA Handbook (7^th Edition):

Pamidi, Vijaya. “Smart Search: A Firefox Add-On to Compute a Web Traffic Ranking.” 2011. Web. 10 Dec 2019.

Vancouver:

Pamidi V. Smart Search: A Firefox Add-On to Compute a Web Traffic Ranking. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.crj3-vwgx ; https://scholarworks.sjsu.edu/etd_projects/169.

Council of Science Editors:

Pamidi V. Smart Search: A Firefox Add-On to Compute a Web Traffic Ranking. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.crj3-vwgx ; https://scholarworks.sjsu.edu/etd_projects/169

San Jose State University

24. Priyadarshi, Sushant. Metamorphic Detection via Emulation.

Degree: MS, Computer Science, 2011, San Jose State University

URL: https://doi.org/10.31979/etd.3ge6-6nfx ; https://scholarworks.sjsu.edu/etd_projects/177

► In parallel with improvements in anti-virus technologies, computer virus writers have developed innovative viruses that are challenging to detect. Metamorphic viruses change their appearance… (more)

Subjects/Keywords: meta morphic virus detection code emulation; Other Computer Sciences

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APA (6^th Edition):

Priyadarshi, S. (2011). Metamorphic Detection via Emulation. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.3ge6-6nfx ; https://scholarworks.sjsu.edu/etd_projects/177

Chicago Manual of Style (16^th Edition):

Priyadarshi, Sushant. “Metamorphic Detection via Emulation.” 2011. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.3ge6-6nfx ; https://scholarworks.sjsu.edu/etd_projects/177.

MLA Handbook (7^th Edition):

Priyadarshi, Sushant. “Metamorphic Detection via Emulation.” 2011. Web. 10 Dec 2019.

Vancouver:

Priyadarshi S. Metamorphic Detection via Emulation. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.3ge6-6nfx ; https://scholarworks.sjsu.edu/etd_projects/177.

Council of Science Editors:

Priyadarshi S. Metamorphic Detection via Emulation. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.3ge6-6nfx ; https://scholarworks.sjsu.edu/etd_projects/177

San Jose State University

25. Mali, Meenakshee. RNA SECONDARY STRUCTURE PREDICTION TOOL.

Degree: MS, Computer Science, 2011, San Jose State University

URL: https://doi.org/10.31979/etd.v9y6-uzac ; https://scholarworks.sjsu.edu/etd_projects/164

► Ribonucleic Acid (RNA) is one of the major macromolecules essential to all forms of life. Apart from the important role played in protein synthesis,… (more)

Subjects/Keywords: RNA Secondary Structure Prediction; Bioinformatics; Other Computer Sciences

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APA (6^th Edition):

Mali, M. (2011). RNA SECONDARY STRUCTURE PREDICTION TOOL. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.v9y6-uzac ; https://scholarworks.sjsu.edu/etd_projects/164

Chicago Manual of Style (16^th Edition):

Mali, Meenakshee. “RNA SECONDARY STRUCTURE PREDICTION TOOL.” 2011. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.v9y6-uzac ; https://scholarworks.sjsu.edu/etd_projects/164.

MLA Handbook (7^th Edition):

Mali, Meenakshee. “RNA SECONDARY STRUCTURE PREDICTION TOOL.” 2011. Web. 10 Dec 2019.

Vancouver:

Mali M. RNA SECONDARY STRUCTURE PREDICTION TOOL. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.v9y6-uzac ; https://scholarworks.sjsu.edu/etd_projects/164.

Council of Science Editors:

Mali M. RNA SECONDARY STRUCTURE PREDICTION TOOL. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.v9y6-uzac ; https://scholarworks.sjsu.edu/etd_projects/164

San Jose State University

26. Sodhi, Shivika. AI for Classic Video Games using Reinforcement Learning.

Degree: MS, Computer Science, 2017, San Jose State University

URL: https://doi.org/10.31979/etd.g9s3-czdx ; https://scholarworks.sjsu.edu/etd_projects/538

► Deep reinforcement learning is a technique to teach machines tasks based on trial and error experiences in the way humans learn. In this paper,… (more)

Subjects/Keywords: Video games; neural nets; Q Learning; Artificial Intelligence and Robotics

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

APA (6^th Edition):

Sodhi, S. (2017). AI for Classic Video Games using Reinforcement Learning. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.g9s3-czdx ; https://scholarworks.sjsu.edu/etd_projects/538

Chicago Manual of Style (16^th Edition):

Sodhi, Shivika. “AI for Classic Video Games using Reinforcement Learning.” 2017. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.g9s3-czdx ; https://scholarworks.sjsu.edu/etd_projects/538.

MLA Handbook (7^th Edition):

Sodhi, Shivika. “AI for Classic Video Games using Reinforcement Learning.” 2017. Web. 10 Dec 2019.

Vancouver:

Sodhi S. AI for Classic Video Games using Reinforcement Learning. [Internet] [Masters thesis]. San Jose State University; 2017. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.g9s3-czdx ; https://scholarworks.sjsu.edu/etd_projects/538.

Council of Science Editors:

Sodhi S. AI for Classic Video Games using Reinforcement Learning. [Masters Thesis]. San Jose State University; 2017. Available from: https://doi.org/10.31979/etd.g9s3-czdx ; https://scholarworks.sjsu.edu/etd_projects/538

San Jose State University

27. Dongre, Sujata. Japanese Kanji Suggestion Tool.

Degree: MS, Computer Science, 2010, San Jose State University

URL: https://doi.org/10.31979/etd.qwv7-27yp ; https://scholarworks.sjsu.edu/etd_projects/4

► Many times, we can see that if we enter a misspelled search term in any of the search engines like Google, it will provide some… (more)

Subjects/Keywords: keyword suggestion japanese search engine; Databases and Information Systems

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APA (6^th Edition):

Dongre, S. (2010). Japanese Kanji Suggestion Tool. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.qwv7-27yp ; https://scholarworks.sjsu.edu/etd_projects/4

Chicago Manual of Style (16^th Edition):

Dongre, Sujata. “Japanese Kanji Suggestion Tool.” 2010. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.qwv7-27yp ; https://scholarworks.sjsu.edu/etd_projects/4.

MLA Handbook (7^th Edition):

Dongre, Sujata. “Japanese Kanji Suggestion Tool.” 2010. Web. 10 Dec 2019.

Vancouver:

Dongre S. Japanese Kanji Suggestion Tool. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.qwv7-27yp ; https://scholarworks.sjsu.edu/etd_projects/4.

Council of Science Editors:

Dongre S. Japanese Kanji Suggestion Tool. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.qwv7-27yp ; https://scholarworks.sjsu.edu/etd_projects/4

San Jose State University

28. Palvai, Tejasvi. Web-Based IDE for Interfacing View Controller.

Degree: MS, Computer Science, 2010, San Jose State University

URL: https://doi.org/10.31979/etd.4aak-d7vy ; https://scholarworks.sjsu.edu/etd_projects/11

► The main idea of this project is to develop a web-based IDE, which helps users to avoid installing or configuring the Desktop IDE. It also… (more)

Subjects/Keywords: MVC IDE Struts Web Applications; Graphics and Human Computer Interfaces; Software Engineering

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

APA (6^th Edition):

Palvai, T. (2010). Web-Based IDE for Interfacing View Controller. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.4aak-d7vy ; https://scholarworks.sjsu.edu/etd_projects/11

Chicago Manual of Style (16^th Edition):

Palvai, Tejasvi. “Web-Based IDE for Interfacing View Controller.” 2010. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.4aak-d7vy ; https://scholarworks.sjsu.edu/etd_projects/11.

MLA Handbook (7^th Edition):

Palvai, Tejasvi. “Web-Based IDE for Interfacing View Controller.” 2010. Web. 10 Dec 2019.

Vancouver:

Palvai T. Web-Based IDE for Interfacing View Controller. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.4aak-d7vy ; https://scholarworks.sjsu.edu/etd_projects/11.

Council of Science Editors:

Palvai T. Web-Based IDE for Interfacing View Controller. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.4aak-d7vy ; https://scholarworks.sjsu.edu/etd_projects/11

San Jose State University

29. Kamboj, Yashi. Handling Relationships in a Wiki System.

Degree: MS, Computer Science, 2016, San Jose State University

URL: https://doi.org/10.31979/etd.z2rt-sfk7 ; https://scholarworks.sjsu.edu/etd_projects/502

► Wiki software enables users to manage content on the web, and create or edit web pages freely. Most wiki systems support the creation of… (more)

Subjects/Keywords: MediaWiki Binary Relationship Categories; Databases and Information Systems; Graphics and Human Computer Interfaces

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

APA (6^th Edition):

Kamboj, Y. (2016). Handling Relationships in a Wiki System. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.z2rt-sfk7 ; https://scholarworks.sjsu.edu/etd_projects/502

Chicago Manual of Style (16^th Edition):

Kamboj, Yashi. “Handling Relationships in a Wiki System.” 2016. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.z2rt-sfk7 ; https://scholarworks.sjsu.edu/etd_projects/502.

MLA Handbook (7^th Edition):

Kamboj, Yashi. “Handling Relationships in a Wiki System.” 2016. Web. 10 Dec 2019.

Vancouver:

Kamboj Y. Handling Relationships in a Wiki System. [Internet] [Masters thesis]. San Jose State University; 2016. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.z2rt-sfk7 ; https://scholarworks.sjsu.edu/etd_projects/502.

Council of Science Editors:

Kamboj Y. Handling Relationships in a Wiki System. [Masters Thesis]. San Jose State University; 2016. Available from: https://doi.org/10.31979/etd.z2rt-sfk7 ; https://scholarworks.sjsu.edu/etd_projects/502

San Jose State University

30. Suvatne, Arnold. Improved Worm Simulator and Simulations.

Degree: MS, Computer Science, 2010, San Jose State University

URL: https://doi.org/10.31979/etd.43cs-kvv3 ; https://scholarworks.sjsu.edu/etd_projects/10

► According to the latest Microsoft Security Intelligence Report (SIR), worms were the second most prevalent information security threat detected in the first half of 2010… (more)

Subjects/Keywords: Computer Worm Simulator; Other Computer Sciences

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

APA (6^th Edition):

Suvatne, A. (2010). Improved Worm Simulator and Simulations. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.43cs-kvv3 ; https://scholarworks.sjsu.edu/etd_projects/10

Chicago Manual of Style (16^th Edition):

Suvatne, Arnold. “Improved Worm Simulator and Simulations.” 2010. Masters Thesis, San Jose State University. Accessed December 10, 2019. https://doi.org/10.31979/etd.43cs-kvv3 ; https://scholarworks.sjsu.edu/etd_projects/10.

MLA Handbook (7^th Edition):

Suvatne, Arnold. “Improved Worm Simulator and Simulations.” 2010. Web. 10 Dec 2019.

Vancouver:

Suvatne A. Improved Worm Simulator and Simulations. [Internet] [Masters thesis]. San Jose State University; 2010. [cited 2019 Dec 10]. Available from: https://doi.org/10.31979/etd.43cs-kvv3 ; https://scholarworks.sjsu.edu/etd_projects/10.

Council of Science Editors:

Suvatne A. Improved Worm Simulator and Simulations. [Masters Thesis]. San Jose State University; 2010. Available from: https://doi.org/10.31979/etd.43cs-kvv3 ; https://scholarworks.sjsu.edu/etd_projects/10

Open Access Theses and Dissertations