| Remaining useful life estimation using functional data analysis Q Wang, S Zheng, A Farahat, S Serita, C Gupta 2019 ieee international conference on prognostics and health management …, 2019 | 69 | 2019 |
| Deep Time Series Models for Scarce Data Q WANG, A FARAHAT, C GUPTA, S ZHENG Neurocomputing, 2021 | 20 | 2021 |
| Multilayer Perceptron for Sparse Functional Data Q Wang, S Zheng, A Farahat, S Serita, T Saeki, C Gupta The 2019 International Joint Conference on Neural Networks (IJCNN), 2019 | 17 | 2019 |
| A non-linear function-on-function model for regression with time series data Q Wang, H Wang, C Gupta, AR Rao, H Khorasgani 2020 IEEE International Conference on Big Data (Big Data), 232-239, 2020 | 12 | 2020 |
| Spatio-temporal functional neural networks AR Rao, Q Wang, H Wang, H Khorasgani, C Gupta 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 11 | 2020 |
| Bayesian Optimization Algorithm with Agent-based Supply Chain Simulator for Multi-echelon Inventory Management A Kiuchi, H Wang, Q Wang, T Ogura, T Nomoto, G Chetan, T Matsui, ... 2020 IEEE 16th International Conference on Automation Science and Engineering, 2020 | 11 | 2020 |
| Two-Sample Inference for Sparse Functional Data Q WANG Electronic Journal of Statistics, 2021 | 10 | 2021 |
| What maintenance is worth the money? a data-driven answer Q Wang, A Farahat, K Ristovski, HK Tang, S Serita, C Gupta 2018 IEEE 16th International Conference on Industrial Informatics (INDIN …, 2018 | 10 | 2018 |
| Silver Circulation Worldwide: Initial Steps in Comprehensive Research P Manning, DO Flynn, Q Wang Journal of World-Historical Information, 2017 | 7 | 2017 |
| Two-sample inference and change point detection for sparse functional data Q Wang University of Pittsburgh, 2017 | 4 | 2017 |
| Bayesian Optimization Methods for Inventory Control with Agent-based Supply-chain Simulator T Ogura, H Wang, Q Wang, A Kiuchi, C Gupta, N Uchihira IEICE Transactions on Fundamentals of Electronics, Communications and …, 2022 | 3 | 2022 |
| Health Indicator Forecasting for Improving Remaining Useful Life Estimation Q WANG, A FARAHAT, C GUPTA, H Wang 2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020 | 3 | 2020 |
| Defect rate analytics to reduce defectiveness in manufacturing Q WANG, S Serita, C GUPTA US Patent 10,579,042, 2020 | 2 | 2020 |
| Evaluation of Event Impact on Key Performance Indicators Q Wang, A Farahat, C Gupta, K Ristovski, S Zheng 2019 IEEE International Conference on Machine Learning and Applications - ICMLA, 2019 | 1 | 2019 |
| Versatile anomaly detection system for industrial systems W Qiyao, W Huang, A Farahat, H Wang, C Gupta US Patent App. 17/730,007, 2023 | | 2023 |
| Vibration data analysis with functional neural network for predictive maintenance W Huang, H Wang, W Qiyao, A Farahat, C Gupta US Patent App. 17/574,208, 2023 | | 2023 |
| System for failure prediction for industrial systems with scarce failures and sensor time series of arbitrary granularity using functional generative adversarial networks W Qiyao, H Wang, C Gupta US Patent App. 17/494,662, 2023 | | 2023 |
| Predictive maintenance system for spatially correlated industrial equipment W Qiyao, H Wang, C Gupta, H Khorasgani, S Huijuan, AR Rao US Patent 11,501,132, 2022 | | 2022 |
| System and methods for failure occurrence prediction and failure duration estimation S Serita, C Zhang, C Gupta, W Qiyao, S Huijuan US Patent 11,200,137, 2021 | | 2021 |
| Operating envelope recommendation system with guaranteed probabilistic coverage W Qiyao, H Wang, S Serita, T Saeki, C Gupta US Patent 11,049,060, 2021 | | 2021 |
Chetan K GuptaHitachiVerified email at hal.hitachi.com
