Search results | J. Murrey Atkins Library

Title: A Beginning-to-End System for Efficiently Gathering Tracking Data on Multiple Targets
Author: Rice, Lance
Date Created: 2016
Subjects--Topical: Computer science
Description: Multi-object tracking in video has the potential for broad applicability, from analyzing division-of-labor within biological networks such as insects, to surveillance and traffic monitoring. Despite any potential the field of multiple object track...

Title: A COMBINED FINITE ELEMENT AND MACHINE LEARNING APPROACH FOR PREDICTING SPECIFIC CUTTING FORCES AND MAXIMUM TOOL TEMPERATURES DURING ORTHOGONAL MACHINING
Author: Mekarthy, Sai Manish Reddy
Date Created: 2019
Subjects--Topical: Mechanical engineering, Engineering, Computer science
Description: In machining, specific cutting forces and temperature fields in the shear zones are of primary interest. These quantities depend on many machining parameters, such as the cutting speed, rake angle, tool-tip radius, uncut chip thickness, etc. The f...

Title: A Survey of Network Modeling
Author: Wells, Unique
Date Created: 2018
Subjects--Topical: Computer science
Description: Network modeling is a set of techniques for extracting various patterns of interestfrom graphs. They can be used in many real-life analytic fields, such as sales andmarketing, journal reports, government and law enforcement, social networking site...

Title: A framework for the use of wearables to enable study of stress
Author: Kanchinadam, Teja Simha
Date Created: 2016
Subjects--Topical: Computer science
Description: Stress is a common condition that has major health impacts. Even though short-term stress helps people to react to danger immediately, chronic stress has larger health impacts such as early aging, post-traumatic stress disorder, and depression. In...

Title: A presentation and evaluation of guided-learning activities and program visualization tool, dissav, to teach stack smashing
Author: Akeyson, Erik
Date Created: 2022
Subjects--Topical: Computer science
Description: The aim of this thesis is to improve student learning of advanced cybersecurity topics, more specifically, stack smashing attacks, by increasing student engagement and interaction. To achieve the aim, this thesis develops a program visualization t...

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: ASSESSING THE IMPACT OF SCHOOL BUS TRAFFIC USING MODELING SOFTWARE AND AUTOMATED TRAFFIC SIGNAL PERFORMANCE MEASURES
Author: Dumitru, Andrei
Date Created: 2019
Subjects--Topical: Computer science, Transportation, Computer engineering
Description: Some of the least studied vehicle types in the urban and suburban traffic environment are school buses. Their dynamic deficiencies, as well as the two additional rules that govern their functionality versus other vehicles (no right-turn-on-red and...

Title: An Approach Towards an Autonomic Computing Prototype Reference Architecture
Author: Williams, Trevon
Date Created: 2019
Subjects--Topical: Computer science, Information technology, System theory
Description: Autonomic Computing is a grand challenge that strives to create self-regulating environments. The end goal, is to create an environment that can self-optimize, self-protect, self-heal and self-configure based on built-in, formulated, and generated...

Title: Analysis of Respiratory Viral Material from Negative COVID-19 PCR Tests to Observe Effects of 2022-2023 "Twindemic" on University Campus
Author: Aboufoul, Lolo
Date Created: 2023
Subjects--Topical: Computer science
Description: Tracking COVID-19 cases has been one of the most important aspects of controlling the pandemic and observing how the virus causing COVID-19 spreads between populations. Tracking cases of the disease helps epidemiologists understand the reason for ...

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: BIOMEDICAL QUESTION ANSWERING
Author: Bhandwaldar, Abhishek
Date Created: 2017
Subjects--Topical: Computer science
Description: A Biomedical Question Answering system allows biomedical experts to use unstructured knowledge in a more effective way. Our system can index vast majority of biomedical articles and can do information retrieval to find most relevant articles to an...

Title: BUILDING MULTIPLE COORDINATED SPACES FOR EFFECTIVEIMMERSIVE ANALYTICS THROUGH DISTRIBUTED COGNITION
Author: Mahmood, Tahir
Date Created: 2019
Subjects--Topical: Computer science
Description: Multiple Coordinated Views (MCV) has been widely used in visualization. Thiswork explores Multiple Coordinated Spaces (MCS), a 3D version of MCV, in orderto integrate various 2D displays in a large physical environment as a unified analy-sis works...

Title: CROSS-PLATFORM INDOOR NAVIGATION USING MIXED-REALITY
Author: Ayyanchira, Akshay Murari
Date Created: 2019
Subjects--Topical: Computer science
Description: Indoor navigation and localization are challenging due to the limits of available devices. A number of devices, such as GPS [3], beacons [5], infrared positioning system, ultrasonic positioning system and RF positioning system [21] have been explo...

Title: Combined Word and Network Embeddings: An Analysis Framework of User Opinions on Social Media
Author: Singh, Tannu
Date Created: 2020
Subjects--Topical: Computer science
Description: Online social media like Twitter, Facebook, and Gab is often used as the stage to deliver one's opinion for a particular group of people, a political party, etc. Sometimes, the opinions shared are considered as controversial by some audience, appl...

Title: DATA REPLICATION FOR COPING WITH UNCERTAINTY IN SCHEDULING
Author: Chaubey, Manmohan
Date Created: 2014
Subjects--Topical: Computer science
Description: Scheduling theory is a common tool to analyze the performance of parallel and distributed computing systems, such as their load balance. How to distribute the input data to be able to execute a set of tasks in a minimum amount of time can be model...

Title: Deep Natural Language Generation Using BERT for Summarization
Author: Choudhury, Sourav
Date Created: 2020
Subjects--Topical: Computer science, Artificial intelligence
Description: Summarization is one of the core facets of Natural Language Processing. Text summarization is the task of producing a concise and fluent summary while holding the most essential or salient part of the content and preserving the original meaning. T...

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: EKF Accelerometer Wheel Based Odometry
Author: Morgan, Jacob
Date Created: 2021
Subjects--Topical: Electrical engineering, Computer science, Robotics
Description: Gathering information on robot motion is critical in determining how a mobile robothas interacted in its environment. The information about a robot’s motion, called odometry is generally collected by tracking wheel behavior for ground based robots...

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: Efficient and Scalable Highway Asset Detection
Author: Bhojwani, Ekta
Date Created: 2021
Subjects--Topical: Computer science, Computer engineering, Artificial intelligence
Description: The roads and highways are a valuable asset for the state department of transportation. It takes massive investment and a huge amount of time to maintain the road assets condition. Therefore, it becomes important to automate the maintenance proces...