Search results | J. Murrey Atkins Library

Title: Using Topological Data Analysis for Text Classification
Author: Doshi, Pratik
Date Created: 2018
Subjects--Topical: Computer science
Description: I show that by applying discourse features derived through topological data analysis(TDA), namely homological persistence, we can improve classification results on thetask of movie genre detection, including identification of overlapping movie gen...

Title: TOWARDS AN AGENT-BASED APPROACH TO SIMULATING HUMANS FALLING FOR PHISHING ATTACKS
Author: Robles Perez, Anibal
Date Created: 2018
Subjects--Topical: Computer science, Information technology
Description: In this project, we explore methods of implementing an autonomous agent that simulates human behaviour, in order to produce common mistakes that create vulnerabilities in enterprise networks. The objective of this research is to aid in testing the...

Title: Security Code Review with Static Analysis Techniques for the Detection and Remediation of Security Vulnerabilities
Author: Thomas, Tyler
Date Created: 2018
Subjects--Topical: Computer science, Information technology
Description: Security problems are both a large and growing concern today. Many security breaches are the result of security vulnerabilities introduced during the code construction phase. These vulnerabilities sometimes occur due to poor security training of t...

Title: STRUCTURE-FROM-MOTION AND RGBD DEPTH FUSION
Author: Chandra shekar, Akash
Date Created: 2018
Subjects--Topical: Computer science, Robotics
Description: Abstract This article describes a technique to augment a typical RGBD sensor by integrating depth estimates obtained via Structure-from-Motion (SfM) with depth measurements from an RGBD sensor. Limitations in the RGBD depth sensing technology prev...

Title: SECURING MOBILE HYBRID APPLICATIONS THROUGH CONFIGURATIONS - FIRST LINE OF DEFENSE
Author: AlJarrah, Abeer
Date Created: 2018
Subjects--Topical: Computer science
Description: Mobile hybrid apps have the potential to dominate the mobile and IoTs apps market. Cross-platform or hybrid apps are providing a promising development choice that appeals to a great body of developers. This development approach \wraps" standard we...

Title: Reduction of Readmissions to Hospitals Based on Actionable Knowledge Discovery and Personalization
Author: Al-Mardini, Mamoun
Date Created: 2018
Subjects--Topical: Computer science
Description: Healthcare spending has been increasing in the last few decades. One of the main reasons for this increase is hospital readmissions, which is defined as a rehospitalization of a patient after being discharged from a hospital within a short period ...

Title: Recommender Systems in Social Networking Sites
Author: Li, Huayu
Date Created: 2018
Subjects--Topical: Computer science
Description: Social networking sites have experienced an explosion in both the number of users and the amount of shared information in recent years. Thanks to the positioning function in mobile devices, e.g., GPS, location-based social networks (LBSNs) become ...

Title: Real-Time Control and Optimal Plant Design for Renewable Energy Systems Using Bayesian Optimization
Author: Baheri, Ali
Date Created: 2018
Subjects--Topical: Mechanical engineering, Computer science
Description: The overarching objective of this research is to use machine learning tools to address the design and real-time control of active systems, focusing specifically by tethered airborne wind energy and ocean current energy systems. In both application...

Title: PARTICIPANT SELECTION AND TASK ASSIGNMENT IN MOBILE CROWD SENSING
Author: Li, Hanshang
Date Created: 2018
Subjects--Topical: Computer science
Description: With the rapid increasing of smart mobile devices and the advances of sensing technologies, mobile crowd sensing (MCS) becomes a new popular sensing paradigm, which enables a variety of large-scale sensing applications. One of the key challenges o...

Title: Object Tracking using Convolutional and Recurrent Neural Network
Author: Deshpande, Mayuri
Date Created: 2018
Subjects--Topical: Computer science
Description: In this master thesis, recurrent neural network based method for visual track-ing in videos is introduced that learns to predict the bounding box locations of atarget object at every frame. Region information and distinctive visual featuresare obt...

Title: Motivating Computer Science Students Beyond Classwork with Games and Gamification
Author: Watson, Stacey
Date Created: 2018
Subjects--Topical: Computer science, Education
Description: Researchers have determined that games have the power to motivate users to engage for long periods of time with unparalleled intensity because they satisfy human psychological and emotional needs. In educational contexts, researchers have examined...

Title: Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author: Seyeditabari, Narjessadat
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...

Title: Interactive Mining for Large-scale Neuro-Morphological Datasets
Author: Li, Zhongyu
Date Created: 2018
Subjects--Topical: Computer science, Neurosciences, Biomedical engineering
Description: In this dissertation, we aim to investigate advanced methods for the computational analytics of large-scale neuro-morphological datasets, which can help neuroscientists interactively explore neurons in real-time. Particularly, we tackle the neuro-...

Title: IDENTIFYING SERENDIPITOUS DRUG USAGES FROM PATIENT-REPORTED MEDICATION OUTCOMES ON SOCIAL MEDIA
Author: Ru, Boshu
Date Created: 2018
Subjects--Topical: Computer science, Information technology, Medical sciences
Description: Drug repositioning has prominent advantages of lower safety risk and development cost than developing new drugs. It has attracted broad interests from the biomedical community. In the past decades, computational approaches have examined biological...

Title: Formal Techniques for Cyber Resilience: Modeling, Synthesis, and Verification
Author: Alsaleh, Mohammed Noraden
Date Created: 2018
Subjects--Topical: Computer science
Description: As cyber vulnerability and complexity increases, cyber attacks become highly sophisticated and inevitable. Therefore, cyber resilience is necessary to make cyber capable of misleading attackers in reaching their goals, resisting their progress, an...

Title: Fine-grained Video Classification for Rare Events
Author: Shan, Junjie
Date Created: 2018
Subjects--Topical: Computer science, Information technology
Description: Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most challenging problems in video analysis due to subtle difference between classes an...

Title: Examining Untempered Social Media: Information Mutation on GAB.ai
Author: Muppalla, Sai Eshwar Prasad
Date Created: 2018
Subjects--Topical: Computer science
Description: Online social media often mirrors the social phenomenon of "Chinese Whispers" where information mutates during dissemination.Many a time, Twitter and Facebook in conjunction with smaller "fringe" communities like Gab.ai, often echo perspectives to...

Title: EXPERIMENTS IN TEXT SUMMARIZATION USING DEEP LEARNING
Author: Bulusu, Sai Amrit
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence, Information science
Description: Deep Learning has been the go-to tool for text summarization in the recent times.Traditional deep learning research focuses on performing abstractive text summarizationwithout considering the user’s interests to personalize the summaries.This prob...

Title: Deep Neural Language Generation with Emotional Intelligence and External Feedback
Author: Srinivasan, Vidhushini
Date Created: 2018
Subjects--Topical: Computer science
Description: Neural seq2seq models are widely used to generate dialogue using variations of RNN Encoder-Decoder architecture with maximum likelihood estimation as objective function. Advances in this architecture include introducing reinforcement learning to t...

Title: Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
Author: Abdullah, Malak
Date Created: 2018
Subjects--Topical: Computer science
Description: Social media is growing as a communication medium where people can express online their feelings and opinions on a variety of topics in ways they rarely do in person. Detecting sentiments and emotions in texts have gained a considerable amount of ...