This page collects the Computer Science and Computer Engineering publications and presentations of the faculty of the Department of Electrical Engineering and Computer Science at the University of Arkansas, Fayetteville. For work accomplished after Fall 2023 please also see the Department of Electrical Engineering and Computer Science.
Articles
Data Integrity Preservation Schemes in Smart Healthcare Systems That Use Fog Computing Distribution, Abdulwahab Fahad S. Alazeb, Brajendra Panda, Sultan Ahmed A Almakdi, and Mohammed Saleh H. Alshehri
Multidimensional Demographic Profiles for Fair Paper Recommendation, Reem Alsaffar and Susan Gauch
Self-Replication via Tile Self-Assembly, Andrew Alseth, Daniel Hader, and Matthew J. Patitz
Universal Shape Replication via Self-Assembly with Signal-Passing Tiles, Andrew Alseth, Daniel Hader, and Matthew J. Patitz
Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study, William Baker, Jason B. Colditz, Page D. Dobbs, Huy Mai, Shyam Visweswaran, Justin Zhan, and Brian A. Primack
The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences, Alycia Carey and Xintao Wu
Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series, Nnamdi C. Ezike, Allison Ames Boykin, Page D. Dobbs, Huy Mai, and Brian A. Primack
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly, Daniel Hader and Matthew J. Patitz
Relationships Between Physical Behaviour Phenotypes of Mothers in Pregnancy and Their Offspring with Child Body Composition, Erin Howie, Alexander Nelson, Joanna A. McVeigh, and Aline Andres
Modeling of Cloud-Based Digital Twins for Smart Manufacturing with MT Connect, Liwen Hu, Ngoc-Tu Nguyen, Wenjin Tao, Ming C. Leu, Xiaoqing Frank Liu, Md Rakib Shahriar, and S M Nahian Al Sunny
An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and an Auxiliary Lexical Resource, Mohammed Ibrahim, Susan Gauch, Omar Salman, and Mohammed Alqahtani
Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network, Ibsa K. Jalata, Thanh-Dat Truong, Jessica L. Allen, Han-Seok Seo, and Khoa Luu
Learning from Oversampling: A Systematic Exploitation of Oversampling to Address Data Scarcity Issues in Deep Learning- Based Magnetic Resonance Image Reconstruction, Ibsa Kumara Jalata, Reeshad Khan, and Ukash Nakarmi
Narrow Band Active Contour Attention Model For Medical Segmentation, Ngan Le, Toan Bui, Viet-Khao Vo-Ho, Kashu Yamazaki, and Khoa Luu
Enhance Portable Radiograph for Fast and High Accurate Covid-19 Monitoring, Ngan Le, James Sorensen, Toan Bui, Arabinda Choudhary, Khoa Luu, and Hien Nguyen
Learning Medical Materials From Radiography Images, Carson Molder, Benjamin Lowe, and Justin Zhan
Quantum Visual Feature Encoding Revisited, Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, and Khoa Luu
Blood Driven Biopower Cells: Acquiring Energy From Reverse Electrodialysis Using Sodium Concentrations From the Flow of Human Blood, Efecan Pakkaner, Chase Smith, Christina Trexler, Jamie Hestekin, and Christa Hestekin
Cross-issue Correlation Based Opinion Prediction in Cyber Argumentation, Md Mahfuzer Rahman, Xiaoqing "Frank" Liu, Joseph W. Sirrianni, and Douglas J. Adams
Exploring the Potential of Tesla Valve for Filtering and Sorting Microscale Active Swimmers: A Computational Study, Ariel Rogers, Zhiyao He, and Yong Wang
Clustering Hypergraphs via the MapEquation, Matthew Swan and Justin Zhan
CarcassFormer: An End-to-End Transformer-Based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect, Minh Tran, Sang Truong, Arthur F.A. Fernandes, Michael T. Kidd, and Ngan Le
Fast Flow Reconstruction via Robust Invertible n x n Convolution, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Ngan Le, and Khoa Luu
A Low-Power Analog Cell for Implementing Spiking Neural Networks in 65 nm CMOS, John S. Venker, Luke Vincent, and Jeff Dix
A Liquid Crystal-Based Biomaterial Platform for Rapid Sensing of Heat Stress Using Machine Learning, Prateek Verma, Elizabeth Adeogun, Elizabeth S. Greene, Sami Dridi, Ukash Nakarmi, and Karthik Nayani
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation, Khoa Vo, Kashu Yamazaki, Sang Truong, Minh-Triet Tran, Akihiro Sugimoto, and Ngan Le
Identifying and Training Deep Learning Neural Networks on Biomedical-Related Datasets, Alan E. Woessner, Usman Anjum, Hadi Salman, Jacob Lear, Jeffrey T. Turner, Ross Campbell, Laura Beaudry, Justin Zhan, Lawrence E. Cornett, Susan Gauch, and Kyle P. Quinn
Spiking Neural Networks and Their Applications: A Review, Kashu Yamazaki, Viet-Khao Vo-Ho, Darshan Bulsara, and Ngan Le