Information Systems and Business Analytics faculty are active in their professional organizations, applied research, instructional development, and publishing.
Submissions from 2024
Extract Clinical Lab Tests From Electronic Hospital Records Through Featured Transformer Model, Lucy M. Lu and Richard S. Segall
Image Processing of Big Data for Plant Diseases of Four Different Plant Categories: Represented by Rice, Banana, Sunflower, and Potato, Richard S. Segall and Prasanna Rajbhandari
Submissions from 2023
Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes, Richard S. Segall and Soichiro Takashashi
Submissions from 2022
Overview of Multi-Factor Prediction Using Deep Neural Networks, Machine Learning, and Their Open-Source Software, Richard S. Segall
Survey of Applications of Neural Networks and Machine Learning to COVID-19 Predictions, Richard S. Segall
Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases, Richard S. Segall and Vidhya Sankarasubbu
Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools, Richard S. Segall and Vidhya Sankarasubbu
Submissions from 2021
A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities, Gao Niu, Richard S. Segall, Zichen Zhao, and Zhijian Wu
Submissions from 2020
Data Streaming Processing Window Joined With Graphics Processing Units (GPUs), Shen Lu and Richard S. Segall
Open Source Software (OSS) for Big Data, Richard S. Segall
What Is Open Source Software (OSS) and What Is Big Data?, Richard S. Segall
Big Data and Its Visualization With Fog Computing, Richard S. Segall and Gao Niu
Submissions from 2019
Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing, Richard S. Segall, Jeffrey S. Cook, and Gao Niu
Submissions from 2018
Overview of Big-Data-Intensive Storage and Its Technologies, Richard S. Segall and Jeffrey S. Cook
Data Linkage Discovery Applications, Richard S. Segall and Shen Lu
Overview of Big Data and Its Visualization, Richard S. Segall and Gao Niu
Submissions from 2015
Overview of Global Supercomputing, Richard S. Segall and Neha Gupta
Information Retrieval by Linkage Discovery, Richard S. Segall and Shen Lu
Submissions from 2014
Linkage Discovery with Glossaries, Richard S. Segall and Shen Lu
Submissions from 2012
A Refinement of the Classical Order Point Model, Farhad Moeeni, Stephen Replogle, Zariff Chaudhury, and Ahmad Syamil
Submissions from 2011
Supercomputers and Supercomputing, Jeffrey S. Cook
Submissions from 2010
Cyber Transportation Logistics: Architecting a Global Value-Chain for Services, Yupo Chan, Jaouad Boukachour, Chia-Chu Chiang, Madan Mohan Dey, Charles-Henri Fredouët, Hing-Po Lo, Farhad Moeeni, and Albert K. Toh
Submissions from 2009
A Survey of Selected Software Technologies for Text Mining, Richard S. Segall and Qingyu Zhang
Employers' Perceptions of Online Degree Programs, Judith C. Simon, Jollean K. Sinclaire, Lloyd D. Brooks, and Ronald B. Wilkes
Submissions from 2008
Planning and Deployment of Dynamic Web Technologies for Supporting E-Business, John A. Hines
Comparing Four-Selected Data Mining Software, Richard S. Segall and Qingyu Zhang
Using Data Mining for Forecasting Data Management Needs, Qingyu Zhang and Richard S. Segall
Submissions from 2006
Web Services and Virtual Communities, Qingyu Zhang
Submissions from 2005
Web Site Quality and Usability in E-Commerce, Mei Cao and Qingyu Zhang
Microarray Databases for Biotechnology, Richard S. Segall
