Piyush Vyas

20 papers A 1Misc 2Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Faster, Smarter, Leaner: How Flipkart Optimized Its Supply Chain to Unlock Growth.
INFORMS J. Appl. Anal.
Shubham Agarwal, Prateek Agrawal, Anurag Allamsetty, Adarsh Attavar, Deekshith B, Gowtham Bellala, Shobhit Bhatnagar, Hardik Choudhari, Vikas Goel, Praveen Gupta, Ananth Kachroo, Jay Kothadiya, Nagesh Km, Sai Anjani Kumar Kudupudi, Mayank Kumar, Naidu Kvm, Tanu Modi, Ramkumar Moorthy, Rakesh S. Nair, Goutham Sai Panyam, Avijit Shukla, Piyush Vyas
2025 J jnl
Generative Artificial Intelligence: Current Trends, Issues, and Challenges.
IT Prof.
Piyush Vyas, Gitika Vyas
2025 J jnl
Recent Advancements in Machine Learning for Cybercrime Prediction.
J. Comput. Inf. Syst.
Lavanya Elluri, Varun Mandalapu, Piyush Vyas, Nirmalya Roy
2024 — conf
Real-Time Fake News Detection on the X (Twitter): An Online Machine Learning Approach.
AMCIS
Piyush Vyas, Jun Liu, Shengjie Xu
2023 J jnl
Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniques.
CoRR
Lavanya Elluri, Varun Mandalapu, Piyush Vyas, Nirmalya Roy
2023 J jnl
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions.
IEEE Access
Varun Mandalapu, Lavanya Elluri, Piyush Vyas, Nirmalya Roy
2023 J jnl
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions.
CoRR
Varun Mandalapu, Lavanya Elluri, Piyush Vyas, Nirmalya Roy
2023 — conf
Detection of Malicious Bots on Twitter through BERT Embeddings-based Technique.
AMCIS
Piyush Vyas, Gitika Vyas, Anitha Chennamaneni
2023 J jnl
Intelligent Fog Computing Surveillance System for Crime and Vulnerability Identification and Tracing.
Int. J. Inf. Secur. Priv.
Romil Rawat, Rajesh Kumar Chakrawarti, Piyush Vyas, José Luis Arias-Gonzáles, Ranjana Sikarwar, Ramakant Bhardwaj
2023 J jnl
RUemo - The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning.
Algorithms
Piyush Vyas, Gitika Vyas, Gaurav Dhiman
2023 — conf
Studying the Relationship Between Timely and Effective Care, Preventive Care, and Patient Hospital Recommendation.
AMCIS
Piyush Vyas, Martinson Ofori, Insu Park, Prathamesh Muzumdar, Ganga Prasad Basyal
2023 J jnl
web crawler strategies for web pages under robot.txt restriction.
CoRR
Piyush Vyas, Akhilesh Chauhan, Tushar Mandge, Surbhi Hardikar
2022 — conf
Classification of COVID-19 Cases: The Customized Deep Convolutional Neural Network and Transfer Learning Approach.
AMCIS
Piyush Vyas, Kaushik Nagarajan Muthusamy Ragothaman, Akhilesh Chauhan, Bhaskar Prasad Rimal
2022 Misc conf
Temporal Early Exiting for Streaming Speech Commands Recognition.
ICASSP
Raphael Tang, Karun Kumar, Ji Xin, Piyush Vyas, Wenyan Li, Gefei Yang, Yajie Mao, G. Craig Murray, Jimmy Lin
2021 Misc conf
An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework.
ICASSP
Zhuohuang Zhang, Piyush Vyas, Xuan Dong, Donald S. Williamson
2021 — conf
An LSTM Based Approach for the Classification of Customer Reviews: An Exploratory Study.
AMCIS
Piyush Vyas, Jun Liu, Akhilesh Chauhan
2021 — conf
Fake News Detection on the Web: An LSTM-based Approach.
AMCIS
Piyush Vyas, Jun Liu, Omar F. El-Gayar
2021 A conf
Optimally Encoding Inductive Biases into the Transformer Improves End-to-End Speech Translation.
Interspeech
Piyush Vyas, Anastasia Kuznetsova, Donald S. Williamson
2021 — conf
Prediction of Patient Willingness to Recommend Hospital: A Machine Learning-Based Exploratory Study.
AMCIS
Piyush Vyas, Giridhar Reddy Bojja, Loknath Sai Ambati, Jun Liu, Martinson Ofori
2020 — conf
Credibility Analysis of News on Twitter using LSTM: An exploratory study.
AMCIS
Piyush Vyas, Omar F. El-Gayar