Credibility Analysis of News on Twitter using LSTM: An exploratory study. - Piyush Vyas; Omar F. El-Gayar (AMCIS, 2020)

Prediction of Patient Willingness to Recommend Hospital: A Machine Learning-Based Exploratory Study. - Piyush Vyas; Giridhar Reddy Bojja; Loknath Sai Ambati; Jun Liu; Martinson Ofori (AMCIS, 2021)

An LSTM Based Approach for the Classification of Customer Reviews: An Exploratory Study. - Piyush Vyas; Jun Liu; Akhilesh Chauhan (AMCIS, 2021)

Fake News Detection on the Web: An LSTM-based Approach. - Piyush Vyas; Jun Liu 028; Omar F. El-Gayar (AMCIS, 2021)

An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework. - Zhuohuang Zhang; Piyush Vyas; Xuan Dong 004; Donald S. Williamson (ICASSP, 2021)

Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation. - Piyush Vyas; Anastasia Kuznetsova; Donald S. Williamson (Interspeech, 2021)

Classification of COVID-19 Cases: The Customized Deep Convolutional Neural Network and Transfer Learning Approach. - Piyush Vyas; Kaushik Nagarajan Muthusamy Ragothaman; Akhilesh Chauhan; Bhaskar Prasad Rimal (AMCIS, 2022)

Temporal Early Exiting for Streaming Speech Commands Recognition. - Raphael Tang; Karun Kumar; Ji Xin; Piyush Vyas; Wenyan Li 001; Gefei Yang; Yajie Mao; G. Craig Murray; Jimmy Lin (ICASSP, 2022)

Studying the Relationship Between Timely and Effective Care, Preventive Care, and Patient Hospital Recommendation. - Piyush Vyas; Martinson Ofori; Insu Park; Prathamesh Muzumdar; Ganga Prasad Basyal (AMCIS, 2023)

Detection of Malicious Bots on Twitter through BERT Embeddings-based Technique. - Piyush Vyas; Gitika Vyas; Anitha Chennamaneni (AMCIS, 2023)

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions. - Varun Mandalapu; Lavanya Elluri; Piyush Vyas; Nirmalya Roy (IEEE Access, 2023)

Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniques. - Lavanya Elluri; Varun Mandalapu; Piyush Vyas; Nirmalya Roy (CoRR, 2023)

web crawler strategies for web pages under robot.txt restriction. - Piyush Vyas; Akhilesh Chauhan; Tushar Mandge; Surbhi Hardikar (CoRR, 2023)

Intelligent Fog Computing Surveillance System for Crime and Vulnerability Identification and Tracing. - Romil Rawat; Rajesh Kumar Chakrawarti; Piyush Vyas; José Luis Arias-Gonzáles; Ranjana Sikarwar; Ramakant Bhardwaj (Int. J. Inf. Secur. Priv., 2023)

RUemo - The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning. - Piyush Vyas; Gitika Vyas; Gaurav Dhiman (Algorithms, 2023)

Real-Time Fake News Detection on the X (Twitter): An Online Machine Learning Approach. - Piyush Vyas; Jun Liu; Shengjie Xu (AMCIS, 2024)

Generative Artificial Intelligence: Current Trends, Issues, and Challenges. - Piyush Vyas; Gitika Vyas (IT Prof., 2025)

Recent Advancements in Machine Learning for Cybercrime Prediction. - Lavanya Elluri; Varun Mandalapu; Piyush Vyas; Nirmalya Roy (J. Comput. Inf. Syst., 2025)