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Now showing items 11-20 of 57
Software Defect Prediction with Fuzzy Logic
(2020-11-16)
Finding software defects in software project modules is a complex process and highly uncertain in nature. Even though multiple intensive machine learning and deep learning models are available to predict defects, it is ...
Novel Machine Learning Algorithms for Analyzing Large-scale Genomic and Genetic Data
(2020-12-01)
With the advancement of next-generation sequencing technology, numerous disease/ phenotypic associations with the human microbiome and human genome are uncovered and revealed. In this dissertation, we take advantage of ...
Use of Augmented Reality (AR) and Virtual Reality (VR) to address four of the “National Academy of Engineering Grand Challenges for Engineering in the 21st Century”.
(2021-04-08)
Engineering is the shrewd application of science to the exploitation and transformation of natural resources for the benefit of humanity. Humankind has always resorted to engineering in order to overcome limitations, ...
Accessible Computer Science for K-12 Students with Disabilities.
(2021-04-13)
Disability Inclusion and Accessibility in technology and education have today emerged as a necessity of national importance. National Science Foundation(NSF) funded projects like AccessCSforALL, Bootstrap, and CSforAll, ...
Tabular Priority Control Design: An Automated Transcription Comparison Framework for Phonetics
(2021-04-28)
Phonetics is the study and systematic classification of speech sounds. It is a discipline of linguistics that deals with the science of sound production, transmission, and reception by humans. Phonetic transcription is the ...
New computational and data-driven methods for protein homology modeling
(2021-07-14)
Threading a query protein sequence onto a library of weakly homologous structural
templates remains challenging. In light of the recent advancements in residue-residue contact
prediction technologies powered by sequence ...
Real Time Fake News Detection using Objectivity extraction and Analytics Approaches
(2021-07-14)
Fake news is playing an increasingly dominant role in spreading misinformation by influencing people's perceptions or knowledge to distort their awareness and decision-making. The growth of social media and online forums ...
Understanding and Improving Computer Vision and Spatiotemporal Deep Neural Networks
(2021-07-19)
Deep neural networks are increasingly being used to solve a wide range of machine learning tasks. In this dissertation, I discuss several research projects I have worked on at Auburn with the goal of understanding and ...
Development of Deep Learning Models for Biomedical Applications
(2021-07-28)
Machine learning algorithms, especially deep learning architectures, have demonstrated immense potential for biomedical segmentation, often surpassing expert-level performance. For cardiac magnetic resonance (CMR) imaging, ...
Applications of Computer Vision for the Improvement of Autonomous Vehicle Design
(2021-07-28)
This dissertation approaches methods of improving autonomous vehicle design through two separate lenses. In the first study, we investigate how technological transparency can improve driver trust in artificial intelligence ...