Submissions from 2021
Data-driven blended equations of state for condensed-phase explosives, Kibaek Lee, Alberto M. Hernández, D. Scott Stewart, and Seungjoon Lee
Novel Indoor Device-Free Human Tracking Using Learning Systems with Hidden Markov Models, Guannan Liu, Prasanga Neupane, Hsiao Chun Wu, Weidong Xiang, Jinwei Ye, Limeng Pu, Shih Yu Chang, Yiyan Wu, and Kun Yan
Wildfire Risk Prediction and Detection using Machine Learning in San Diego, California, Ashima Malik, Nasrajan Jalin, Shalu Rani, Priyanka Singhal, Supriya Jain, and Jerry Gao
Novel Optimal Multisensor Placement for Indoor Rectilinear Line-of-Sight Coverage, Prasanga Neupane, Guannan Liu, Hsiao Chun Wu, Shih Yu Chang, and Jinwei Ye
Novel Device-Free Indoor Human Localization using Wireless Radio-Frequency Fingerprinting, Prasanga Neupane, Guannan Liu, Hsiao Chun Wu, Weidong Xiang, Shih Yu Chang, and Yiyan Wu
Novel Cascade Classifier Using Multiresolution Progressive Learning for Device-Free Indoor Localization, Prasanga Neupane, Hsiao Chun Wu, Guannan Liu, Weidong Xiang, Jinwei Ye, and Shih Yu Chang
Should the US Constitution Be Amended to Limit Borrowing From the Future?, Vishnu Pendyala
Software Development in Large Organizations, Vishnu S. Pendyala
Robust Metabolic Syndrome Risk Index Based on Triangular Areal Similarity, Hyunseok Shin, Simon Shim, Charles Choo, Doosung Hwang, Yunmook Nah, and Sejong Oh
Camera-Based Security Check for Face Mask Detection using Deep Learning, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, and Jerry Gao
Crop Identification Based on Remote Sensing Data using Machine Learning Approaches for Fresno County, California, Sunanda Das Suchi, Aparna Menon, Ashima Malik, Jie Hu, and Jerry Gao
Efficient Recoverable Cryptographic Mosaic Technique by Permutations, Elaine Y.N. Sun, Hsiao Chun Wu, Costas Busch, Scott C.H. Huang, Yen Cheng Kuan, and Shih Yu Chang
Research on the Maximization of Influence in Social Network Information Dissemination under Topic Preference, Guoyan Xu, Tianyi Zhuang, Qirui Zhang, Jerry Zeyu Gao, and Jing Huang
Reversible Data Hiding Based on Histogram Shifting with Sorted Pairs of Points, Hongze Zhao, Ping Ping, Deyin Fu, Jie Hao, and Zeyu Gao
Submissions from 2020
Packetless data transmission through pattern exclusive coding, Shih Yu Chang and Hsiao Chun Wu
PDC Intelligent control-based theory for structure system dynamics, Tim Chen, Megan Lohnash, Emmanuel Owens, and C. Y.J. Chen
On Physical-Layer Authentication via Triple Pool Convolutional Neural Network, Yi Chen, Shahriar Real, Hong Wen, Boyang Cheng, Wei Wang, Pin Han Ho, and Shih Yu Chang
Elastic Net to Forecast COVID-19 Cases, Tim K. Johnsen and Jerry Z. Gao
Evolution of Integration, Build, Test, and Release Engineering Into DevOps and to DevSecOps, Vishnu Pendyala
The Pandemic of Falsity on Online Social Networks and Plausible Cures from Machine Learning, Vishnu Pendyala
Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities, Vishnu Pendyala
Relating Machine Learning to the Real World Learning: Analogies to enhance student comprehension, Vishnu S. Pendyala
Securing Trust in Online Social Networks, Vishnu S. Pendyala
Changes in vegetation phenology and productivity in Alaska over the past two decades, Christopher Potter and Olivia Alexander
DeeperCoder: Code Generation Using Machine Learning, Simon Shim, Pradnyesh Patil, Rajiv Ramesh Yadav, Anurag Shinde, and Venkatesh Devale
Backbone Interactions Between Transcriptional Activator ExsA and Anti-Activator ExsD Facilitate Regulation of the Type III Secretion System in Pseudomonas aeruginosa, Manisha Shrestha, Robert C. Bernhards, Yichen Fu, Kylie Ryan, and Florian D. Schubot
Enhanced Predictive Modeling of Cricket Game Duration Using Multiple Machine Learning Algorithms, Shivam Tyagi, Rashmi Kumari, Sarath Chandra Makkena, Swayam Swaroop Mishra, and Vishnu S. Pendyala
Continuous Deployment Transitions at Scale, Laurie Williams, Kent Beck, Jeffrey Creasey, Andrew Glover, James Holman, Jez Humble, David McLaughlin, John Thomas Micco, Brendan Murphy, Jason A. Cox, Vishnu Pendyala, Steven Place, Zachary T. Pritchard, Chuck Rossi, Tony Savor, Michael Stumm, and Chris Parnin
Submissions from 2019
The Truth behind the Tweets, Vishnu Pendyala
Submissions from 2018
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness, Vishnu Pendyala
Big Data Analytics Research in India – A Perspective, Vishnu S. Pendyala
Machine Learning and other Approaches to the truthfulness of information on Online Social Networks, Vishnu S. Pendyala
A framework for detecting injected influence attacks on microblog websites using change detection techniques, Vishnu S. Pendyala, Yuhong Liu, and Silvia M. Figueira
Submissions from 2017
Evolving a Truthful World Wide Web, Vishnu Pendyala
Addressing Uncertainty on the Web, Vishnu S. Pendyala
In Pursuit of Truth on the Web: Soft Computing for Truth Finding, Vishnu S. Pendyala
Math Never Lies: Machine Learning for Fact Finding, Vishnu S. Pendyala
Mining For Medical Expertise, Vishnu S. Pendyala
The Case for a Humanitarian Web Made Possible by Big Data Analytics, Vishnu S. Pendyala
Towards Automated Healthcare for the Masses Using Text Mining Analytics, Vishnu S. Pendyala
Automated Medical Diagnosis from Clinical Data, Vishnu S. Pendyala and Silvia Figueira
