Search results | J. Murrey Atkins Library

Title: Interest-guided Exploration of Large Information Space
Author: Hu, Yueqi
Date Created: 2018
Subjects--Topical: Information technology, Information science
Description: With the coming of the digital era, information has never been as massive and complicated as it is nowadays. New layout strategies, visual encoding methods, and exploration mantras have been developed in the visualization area to ``squeeze a billi...

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: Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Author: Hematialam, Hossein
Date Created: 2021
Subjects--Topical: Computer science
Description: In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzing medical texts and, in particular, Clinical Practice Guidelines (CPGs).We p...

Title: LOWERING THE BARRIER TO DEVELOPMENT AND ADOPTION OF PARTICIPATORY SENSING APPLICATIONS
Author: Heggen, Scott
Date Created: 2014
Subjects--Topical: Computer science
Description: Participatory sensing has the potential to support human-driven sensing and data collection at an unprecedented scale. In this emerging class of software systems, participants use an application on their mobile phone to collect digital samples of ...

Title: Leveraging Social Media to Better Understand People's Obesity Related Behaviors
Author: Li, Chuqin
Date Created: 2021
Subjects--Topical: Computer science
Description: With the worldwide prevalence of obesity doubling over the past 30 years across a wide range of demographic and socioeconomic groups, the obesity epidemic is a major public health challenge today. Excessive food consumption and lack of exercise ar...

Title: Leveraging Visual Analytics for Modeling Online User Behavior on Social Media
Author: ElTayeby, Omar
Date Created: 2020
Subjects--Topical: Computer science
Description: Analysts and domain experts in various fields rely on collecting data about their subjects to understand and predict their behavior. Characterizing and modeling human behavior requires analyzing extensive amounts of data from heterogeneous sources...

Title: MULTIMODAL VISUALIZATION USING AUGMENTED REALITY AND LARGE DISPLAYS
Author: Butler, Erik
Date Created: 2017
Subjects--Topical: Computer science
Description: We are living in an age where technology has allowed data collection to encompass every aspect of our day to day lives. With quintillions of bits of data being created daily, we are under constant pressure to advance our supercomputers and machine...

Title: Manipulation and Perception Synergy for Autonomous Robots in Unknown Environments
Author: Mao, Huitan
Date Created: 2019
Subjects--Topical: Computer science, Robotics
Description: Intelligent robots have been increasingly used in unstructured and unknown environments rather than being limited in well-controlled settings. The key to successful autonomous robot operations in such environments is to combine robot manipulation ...

Title: Measuring the Effects of Chart Embellishments to Better Understand our Perception of Charts
Author: Skau, Drew
Date Created: 2016
Subjects--Topical: Computer science, Cognitive psychology
Description: News organizations, non-profits, and even government agencies use information graphics to advertise and communicate their messages. Data visualizations are used heavily in these graphics, but they also often incorporate unusual design elements to ...

Title: Mitigation of Crossfire Attacks in Software Defined Networks Using Random Forest Machine Learning Algorithm
Author: Williams, Gabon
Date Created: 2020
Subjects--Topical: Computer science, Information technology
Description: Software Defined Networks have emerged and developed to become a prevalent indus-try used infrastructure. The mitigation around DDoS (Distributed Denial of Service)attacks in SDN has been a big topic since the network type has come into the scopeo...

Title: Mixed-reality squad-coordination platform
Author: Mahfoud, Elias
Date Created: 2016
Subjects--Topical: Computer science
Description: Coordination and situation awareness are amongst the most important aspects of collaborative emergency response for firefighters, police, military soldiers, and so forth. Generally, command centers are in charge of managing a team, typically using...

Title: Modeling Identity-Based Conflict and Genocide - An Approach Informed by Complexity Theory and Computational Social Science
Author: von Briesen, Elizabeth
Date Created: 2020
Subjects--Topical: Computer science
Description: This research designs the Eris model, a novel, agent-based computational model that can aid researchers in answering questions regarding the explanation and prediction of identity-based conflict and genocide. At its most fundamental level, this wo...

Title: Modeling Twitter Data for Effective Dissemination of Health-related Information
Author: Safarnejad, Lida
Date Created: 2020
Subjects--Topical: Computer science
Description: Social media platforms, such as Twitter, are attracting a growing number of people with diverse demographic characteristics to share and obtain information about various topics. As a result, these platforms have become one of the main targets for ...

Title: Modeling and Analyzing the United States Courts of Last Resort’s Legal Citation System as a Complex System
Author: Mohammed, Louai
Date Created: 2021
Subjects--Topical: Computer science, Political science, Law
Description: Courts of last resort in the United States are becoming increasingly important in American politics as the number of cases, influential decisions, and controversial issues continue to rise in the states. In discussions of federalism in the United ...

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: Multi-Task Generalization using Practice for Distributed Deep Reinforcement Learning
Author: Pattnaik, Upasana
Date Created: 2021
Subjects--Topical: Computer science, Artificial intelligence
Description: Feedback driven deep reinforcement learning methodologies are widely favoured approaches to solving artificial intelligence problems. The algorithms navigate complex decision-making tasks without manual state space engineering. Notable problems co...

Title: Network-based Pathway Enrichment Analysis for Biological Inference of High-throughput Gene Expression Data
Author: Naderi Yeganeh, Pourya
Date Created: 2019
Subjects--Topical: Computer science, Bioinformatics
Description: Pathway enrichment analysis models (PEM) are biological inference approaches that leverage annotated bio-molecular functions for interpreting the underlying processes of gene expression profiles from high-throughput genomic data. Common PEMs negle...

Title: OBJECT MANIPULATION TECHNIQUE DEVELOPMENT AND EVALUATION IN DESKTOP VIRTUAL ENVIRONMENT
Author: Feng, Jinbo
Date Created: 2015
Subjects--Topical: Computer science
Description: Object manipulation is one of the major operations in 3D graphical interaction. For existing high degree-of-freedom (DOF) manipulation techniques, most of them have shown to be more efficient or intuitive in their specific experiments. However, th...

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: Object detection in aerial image
Author: Li, Changlin
Date Created: 2020
Subjects--Topical: Computer science
Description: Object detection in high-resolution aerial images is a challenging task because of1) the large variation in object size, and 2) non-uniform distribution of objects. A common solution is to divide the large aerial image into small (uniform) crops a...