In the Fall of 2023, the Department of Electrical Engineering and Department of Computer Science and Computer Engineering merged to form a single, integrated department named the Department of Electrical Engineering and Computer Science.

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.

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Articles

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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

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Multidimensional Demographic Profiles for Fair Paper Recommendation, Reem Alsaffar and Susan Gauch

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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

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The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences, Alycia Carey and Xintao Wu

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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

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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

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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

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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

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Narrow Band Active Contour Attention Model For Medical Segmentation, Ngan Le, Toan Bui, Viet-Khao Vo-Ho, Kashu Yamazaki, and Khoa Luu

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Enhance Portable Radiograph for Fast and High Accurate Covid-19 Monitoring, Ngan Le, James Sorensen, Toan Bui, Arabinda Choudhary, Khoa Luu, and Hien Nguyen

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Learning Medical Materials From Radiography Images, Carson Molder, Benjamin Lowe, and Justin Zhan

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Cross-issue Correlation Based Opinion Prediction in Cyber Argumentation, Md Mahfuzer Rahman, Xiaoqing "Frank" Liu, Joseph W. Sirrianni, and Douglas J. Adams

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Exploring the Potential of Tesla Valve for Filtering and Sorting Microscale Active Swimmers: A Computational Study, Ariel Rogers, Zhiyao He, and Yong Wang

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Clustering Hypergraphs via the MapEquation, Matthew Swan and Justin Zhan

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Fast Flow Reconstruction via Robust Invertible n x n Convolution, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Ngan Le, and Khoa Luu

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A Low-Power Analog Cell for Implementing Spiking Neural Networks in 65 nm CMOS, John S. Venker, Luke Vincent, and Jeff Dix

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ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation, Khoa Vo, Kashu Yamazaki, Sang Truong, Minh-Triet Tran, Akihiro Sugimoto, and Ngan Le

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Spiking Neural Networks and Their Applications: A Review, Kashu Yamazaki, Viet-Khao Vo-Ho, Darshan Bulsara, and Ngan Le