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ORCIDShubhendu Kumar Singh
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2020 – today
- 2024
[j6]Zhibo Zhang
, Chandan K. Sahu, Shubhendu Kumar Singh, Rahul Rai, Zhuo Yang, Yan Lu:
Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process. Int. J. Prod. Res. 62(5): 1803-1817 (2024)- [j5]Shubhendu Kumar Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, Zhibo Zhang:
Deep Learning in Computational Design Synthesis: A Comprehensive Review. J. Comput. Inf. Sci. Eng. 24(4) (2024) - [j4]Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Ankur Bhatt, Brian Gainey, Benjamin Lawler, Rahul Rai:
Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics. Neural Comput. Appl. 36(28): 17511-17539 (2024) - 2023
- [j3]Ruoyu Yang, Shubhendu Kumar Singh, Mostafa Tavakkoli, M. Amin Karami, Rahul Rai:
Deep Learning Architecture for Computer Vision-based Structural Defect Detection. Appl. Intell. 53(19): 22850-22862 (2023) - [j2]Ryan Nguyen, Shubhendu Kumar Singh, Rahul Rai:
FuzzyGAN: Fuzzy generative adversarial networks for regression tasks. Neurocomputing 525: 88-110 (2023) - [c2]Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara S. Crawford, Rahul Rai:
Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines. AIAI (2) 2023: 325-339 - 2022
- [j1]Shubhendu Kumar Singh, Raj Pradip Khawale, Haiyong Chen, Haolong Zhang, Rahul Rai:
Personal protective equipments (PPEs) for COVID-19: a product lifecycle perspective. Int. J. Prod. Res. 60(10): 3282-3303 (2022) - [i2]Ryan Nguyen, Shubhendu Kumar Singh, Rahul Rai:
Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis. CoRR abs/2206.07762 (2022) - 2021
- [i1]Ryan Nguyen, Shubhendu Kumar Singh, Rahul Rai:
Fuzzy Generative Adversarial Networks. CoRR abs/2110.14588 (2021)
2010 – 2019
- 2019
- [c1]Shubhendu Kumar Singh, Ruoyu Yang, Amir Behjat, Rahul Rai, Souma Chowdhury, Ion Matei:
PI-LSTM: Physics-Infused Long Short-Term Memory Network. ICMLA 2019: 34-41
Coauthor Index
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