| CNN-LSTM deep learning architecture for computer vision-based modal frequency detection R Yang, SK Singh, M Tavakkoli, N Amiri, Y Yang, MA Karami, R Rai Mechanical Systems and signal processing 144, 106885, 2020 | 191 | 2020 |
| PI-LSTM: Physics-infused long short-term memory network SK Singh, R Yang, A Behjat, R Rai, S Chowdhury, I Matei 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 53 | 2019 |
| Personal protective equipments (PPEs) for COVID-19: a product lifecycle perspective SK Singh, RP Khawale, H Chen, H Zhang, R Rai International journal of production research 60 (10), 3282-3303, 2022 | 26 | 2022 |
| Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process Z Zhang, CK Sahu, SK Singh, R Rai, Z Yang, Y Lu International Journal of Production Research 62 (5), 1803-1817, 2024 | 15 | 2024 |
| Physics-infused fuzzy generative adversarial network for robust failure prognosis R Nguyen, SK Singh, R Rai Mechanical Systems and Signal Processing 184, 109611, 2023 | 12 | 2023 |
| FuzzyGAN: Fuzzy generative adversarial networks for regression tasks R Nguyen, SK Singh, R Rai Neurocomputing 525, 88-110, 2023 | 10 | 2023 |
| Continuous video stream pixel sensor: A CNN‐LSTM based deep learning approach for mode shape prediction R Yang, SK Singh, M Tavakkoli, N Amiri, MA Karami, R Rai Structural Control and Health Monitoring 29 (3), e2892, 2022 | 7 | 2022 |
| Physics-based and data-driven hybrid modeling in manufacturing: a review S Kasilingam, R Yang, SK Singh, MA Farahani, R Rai, T Wuest Production & Manufacturing Research 12 (1), 2305358, 2024 | 5 | 2024 |
| Deep Learning Architecture for Computer Vision-based Structural Defect Detection R Yang, SK Singh, M Tavakkoli, MA Karami, R Rai Applied Intelligence 53 (19), 22850-22862, 2023 | 5 | 2023 |
| Hybrid Machine Learning Approach for Predictive Modeling of Complex Systems SK Singh State University of New York at Buffalo, 2019 | 4 | 2019 |
| Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics SK Singh, RP Khawale, S Hazarika, A Bhatt, B Gainey, B Lawler, R Rai Neural Computing and Applications, 1-29, 2024 | 3 | 2024 |
| Deep Learning in Computational Design Synthesis: A Comprehensive Review S Kumar Singh, R Rai, R Pradip Khawale, D Patel, D Bielecki, R Nguyen, ... Journal of Computing and Information Science in Engineering 24 (4), 2024 | 3 | 2024 |
| Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines R Goyal, D Chowdhury, S Hazarika, RP Khawale, SK Singh, L Crawford, ... IFIP International Conference on Artificial Intelligence Applications and …, 2023 | 1 | 2023 |
| Fuzzy Generative Adversarial Networks R Nguyen, SK Singh, R Rai arXiv preprint arXiv:2110.14588, 2021 | 1 | 2021 |
| Digital twin-enabled autonomous fault mitigation in diesel engines: An experimental validation RP Khawale, D Chowdhury, R Goyal, SK Singh, A Bhatt, B Gainey, ... Control Engineering Practice 152, 106045, 2024 | | 2024 |
| Hybrid Physics-Infused Machine Learning Framework For Fault Diagnostics and Prognostics in Cyber-Physical System Of Diesel Engine SK Singh Clemson University, 2024 | | 2024 |
ruoyu yangClemson UniversityVerified email at clemson.edu