SoC Theses
Recent Submissions
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Harnessing unlabeled data for improving generalization of deep learning methods
(Wichita State University, 2023-07)Recent advancements in Deep Learning, Artificial Intelligence, and Computer Vision have reached a critical stage, enabling researchers to explore the automatic extraction of individual demographic traits, known as ... -
Distributed misbehavior detection in UAV flocks
(Wichita State University, 2023-07)Unmanned aerial vehicles have become increasingly popular in many applications such as remote surveillance, reconnaissance, and precision agriculture. Often multiple UAVs form a swarm and perform their operations in a ... -
Private neural network auctions for additive manufacturing
(Wichita State University, 2023-05)Additive Manufacturing is changing the way we construct, deliver, and consume objects by allowing customers to quickly build custom objects on-demand and in locations near to them. Additive manufacturing operators need ... -
Semantic scene understanding for intelligent robotics
(Wichita State University, 2023-05)This dissertation focuses on improving robotic scene semantics understanding and developing a new human-robot interaction (HRI) interface based on augmented reality (AR). To achieve a deep scene understanding, the ... -
Methods to achieve t-closeness for privacy preserving data publishing
(Wichita State University, 2023-05)Privacy Preserving Data Publishing is an area of research focused on developing methods of anonymizing sensitive relational data such that it can be published without compromising the privacy of the individuals the data ... -
Deep learning-based approaches for prediction of post-translational modification sites in proteins
(Wichita State University, 2022-12)Protein post-translational modification plays an important role in a myriad of biological processes. Computational prediction approaches serve as complementary methods for the characterization of post-translational ... -
AR Extractor : Automatically extracting constraints from android documentation using NLP techniques
(Wichita State University, 2022-12)When developing android apps, it is difficult for the programmers to follow all programming constrains in Android documents. Programming rules are difficult to be manually identified and documented by programmers. As those ... -
Deep learning models for natural disaster assessment using satellite imagery
(Wichita State University, 2022-12)The current methods to assess damage which has occurred during a disaster are usually manual based assessments. This work talks about developing an automated damage assessment model using computer vision and deep ... -
An iOS based indoor wayfinding application for people with navigational disabilities
(Wichita State University, 2022-07)Navigation has become an integral part of today’s society. Many people use devices such as smartphones to get direction in and out of unfamiliar environments. People have come to rely on these devices as it helps them get ... -
Algorithms for detecting leftover account information and extracting android programming rules
(Wichita State University, 2022-07)Mobile apps are ubiquitous nowadays. The average smartphone user these days has between 60 and 90 apps on their device. While using a mobile application, it has access to users’ private information, and it can be a serious ... -
Bias of facial analysis at NIR spectrum
(Wichita State University, 2022-05)This paper investigates the effectiveness of using NIR images to mitigate bias in facial recognition and gender classification systems. Two datasets, CASIA-Africa and Notre Dame (ND-VIL) were combined to create a dataset ...
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