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You searched for +publisher:"San Jose State University" +contributor:("Chris Pollett"). Showing records 1 – 30 of 60 total matches.

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San Jose State University

1. Pham, Bao. AI Dining Suggestion App.

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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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)

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

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APA (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

  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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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