Search results | J. Murrey Atkins Library

Title: A Critical, Empirical, and Reflexive Investigation of the Promise of Democratization in the Making Phenomenon
Author: Okerlund, Johanna
Date Created: 2021
Subjects--Topical: Computer science
Description: Many endeavors in the field of Human-Computer Interaction (HCI) align themselves with the promise of the democratization of technology production, a promise that has yet to be fulfilled due to gaps in access and underlying power dynamics. HCI has ...

Title: AI Based Realistic Multi-Hop Wireless Simulation
Author: pothuneedi, tagore
Date Created: 2021
Subjects--Topical: Computer science
Description: Wireless multi-hop networks and software-defined networking (SDN) are emerging technologies in wireless communications for deploying cost-efficient programmable network backbones. However, the physical testbeds do not provide scalable environments...

Title: Active Cyber Defense Planning and Orchestration
Author: Islam, Md Mazharul
Date Created: 2021
Subjects--Topical: Computer science
Description: The overwhelming number of recent data breaches reported that hundreds of terabytes of highly sensitive information, including national, financial, and personal, have been stolen from different organizations, indicating a clear asymmetric disadvan...

Title: Anomaly Detection for Manufacturing Applications Using Convolutional Autoencoders
Author: Zouar, Nourelislam
Date Created: 2021
Subjects--Topical: Computer science
Description: ABSTRACTNOURELISLAM ZOUAR. ANOMALY DETECTION FOR MANUFACTURING APPLICATIONS USING CONVOLUTIONAL AUTOENCODERS. (Under the direction of DR. MIN SHIN) Anomaly Detection in manufacturing environments is increasingly gaining popularity among companies ...

Title: Autonomous Cyber Defense: Formal Models and Applications
Author: Dutta, Ashutosh
Date Created: 2021
Subjects--Topical: Computer science, Information science, Information technology
Description: With technological advancements, cyber attacks are highly automated and organized with asymmetric advantages over defenders regarding cost and efforts.Attackers employ sophisticated and diversified approaches to achieve attack objectives while bei...

Title: Aviatar- An Augmented Reality System to Improve Pilot Performance for Unmanned Aerial Systems
Author: Abbott, Robert
Date Created: 2021
Subjects--Topical: Computer science, Aerospace engineering, Cognitive psychology
Description: In the modern airspace, small unmanned aircraft systems (UAS) such as drones are becoming increasingly popular with both amateur enthusiasts as well as professional pilots. In the three years following the initiation of the small drone registratio...

Title: Better modeling of matching possibilities and uncertainty for offline visual multiple object tracking
Author: Rice, Lance
Date Created: 2021
Subjects--Topical: Computer science
Description: The task of visually tracking multiple objects remains an active field of algorithm development even after several decades of research in the computer vision community. One reason it remains an active research area is that identifying and maintain...

Title: Cognitive biases in decision-making under uncertainty with interactive data visualizations
Author: Wesslen, Ryan
Date Created: 2021
Subjects--Topical: Computer science, Cognitive psychology, Information science
Description: In this thesis, we hypothesize that data visualization users are subject to systematic errors, or cognitive biases, in decision-making under uncertainty. Based on research from psychology, behavioral economics, and cognitive science, we design fiv...

Title: Developing Temporal Machine Learning Approaches to Support Modeling, Explaining, and Sensemaking of Academic Success and Risk of Undergraduate Students
Author: Nur, Nasheen
Date Created: 2021
Subjects--Topical: Artificial intelligence, Education
Description: The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students’ trends of activities towards success and risk and design intervention methods to improve learning performance and exp...

Title: Exploring Cyber Threat Hunting Through Interactive Labs
Author: Webber, Michael
Date Created: 2021
Subjects--Topical: Computer science
Description: As we continue to see the impact of cyber attacks and cyber threats throughout the world, the needfor cyber threat hunting skills is more and more important to the cybersecurity industry and provides a compelling case for expanding the workforce c...

Title: Faster Convolutional Neural Networks Training
Author: Jiang, Shanshan
Date Created: 2021
Subjects--Topical: Computer science
Description: Convolutional Neural Network (CNN) models have become the mainstream method in Artificial Intelligence (AI) areas for computer vision tasks like image classification and image segmentation. Deep CNNs contain a large volume of convolution calculati...

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: 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: 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: 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: Optimizing Performance of In-memory Computing with Hybrid Memory System
Author: Rang, Wei
Date Created: 2021
Subjects--Topical: Computer science
Description: The development of in-memory technologies has fueled the emerging of in-memory computing systems. Simultaneously, with novel memory technologies such as high-bandwidth memory (HBM) and non-volatile memory (NVM), hybrid memory systems are expected ...

Title: Performance Analytics of Graph Algorithms Using Intel Optane DC Persistent Memory
Author: Unmann, Evan
Date Created: 2021
Subjects--Topical: Computer science
Description: The increased size of data sets is driving the need for increased memory storage andspeed. Persistent memory, PMEM, has emerged as a new solution to the problem. It places itself in between main memory and storage in the memory hierarchy. PMEM off...

Title: Pragmatic approaches toward automated extraction and understanding of large scale health-related texts
Author: Xie, Tianyi
Date Created: 2021
Subjects--Topical: Computer science
Description: Natural language processing has become a very popular tool in many areas and has also drawn great attention in the community of health informatics. It is a series of processes that allows informaticists to take advantage by extracting and understa...

Title: Representation Learning of Image Recognition: Diversity, Aspect Ratio, Invariance, and Composition
Author: Chen, Qiuyu
Date Created: 2021
Subjects--Topical: Computer science
Description: Deep neural networks (DNN) are proved to be effective and improve the performance dramatically in various kinds of computer vision tasks. The end-to-end learning manner in training DNN consistently shows the powerful modeling ability and consequen...

Title: Towards Adapting Cognitive Architectures for Knowledgeable & Personalized Dialogue Systems
Author: Santhanam, Sashank
Date Created: 2021
Subjects--Topical: Computer science
Description: State-of-the-art conversational agents have advanced significantly in conjunction with the use of large transformer-based language models. However, even with these rapid advancements, the current generation of conversational agents suffers from th...