Shubhendu Kumar Singh

According to our database, Shubhendu Kumar Singh authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics.

Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Ankur Bhatt, Brian Gainey, Benjamin Lawler, Rahul Rai

Neural Comput. Appl., October, 2024

Deep Learning in Computational Design Synthesis: A Comprehensive Review.

Shubhendu Kumar Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, Zhibo Zhang

J. Comput. Inf. Sci. Eng., April, 2024

Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process.

Zhibo Zhang, Chandan K. Sahu, Shubhendu Kumar Singh, Rahul Rai, Zhuo Yang, Yan Lu

Int. J. Prod. Res., March, 2024

2023

Deep Learning Architecture for Computer Vision-based Structural Defect Detection.

Ruoyu Yang, Shubhendu Kumar Singh, Mostafa Tavakkoli, M. Amin Karami, Rahul Rai

Appl. Intell., October, 2023

FuzzyGAN: Fuzzy generative adversarial networks for regression tasks.

Ryan Nguyen, Shubhendu Kumar Singh, Rahul Rai

Neurocomputing, March, 2023

Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines.

Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara S. Crawford, Rahul Rai

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

Personal protective equipments (PPEs) for COVID-19: a product lifecycle perspective.

Shubhendu Kumar Singh, Raj Pradip Khawale, Haiyong Chen, Haolong Zhang, Rahul Rai

Int. J. Prod. Res., 2022

Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis.

Ryan Nguyen, Shubhendu Kumar Singh, Rahul Rai

CoRR, 2022

2021

Fuzzy Generative Adversarial Networks.

Ryan Nguyen, Shubhendu Kumar Singh, Rahul Rai

CoRR, 2021

2019

PI-LSTM: Physics-Infused Long Short-Term Memory Network.

Shubhendu Kumar Singh, Ruoyu Yang, Amir Behjat, Rahul Rai, Souma Chowdhury, Ion Matei

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019