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An ensemble of convolution-based methods for fault detection using vibration signals


May 05, 2023
Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed Farahat, Chetan Gupta

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* 12 Pages, 9 Figures, 2 Tables. Accepted at ICPHM 2023 

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CDA: Contrastive-adversarial Domain Adaptation


Jan 10, 2023
Nishant Yadav, Mahbubul Alam, Ahmed Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly

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An Offline Deep Reinforcement Learning for Maintenance Decision-Making


Sep 28, 2021
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed Farahat

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Deep Time Series Models for Scarce Data


Mar 16, 2021
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Shuai Zheng

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* Journal paper to appear in Neurocomputing 

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Wisdom of the Ensemble: Improving Consistency of Deep Learning Models


Nov 13, 2020
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe

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Health Indicator Forecasting for Improving Remaining Useful Life Estimation


Jun 05, 2020
Qiyao Wang, Ahmed Farahat, Chetan Gupta, Haiyan Wang

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* Accepted by IEEE International Conference on Prognostics and Health Management 2020 

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Generative Adversarial Networks for Failure Prediction


Oct 04, 2019
Shuai Zheng, Ahmed Farahat, Chetan Gupta

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* ECML PKDD 2019 (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019) 

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Remaining Useful Life Estimation Using Functional Data Analysis


Apr 12, 2019
Qiyao Wang, Shuai Zheng, Ahmed Farahat, Susumu Serita, Chetan Gupta

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* Accepted by IEEE International Conference on Prognostics and Health Management 2019 

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Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling


Dec 18, 2018
Karan Aggarwal, Onur Atan, Ahmed Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta

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* Accepted at IEEE International Conference on BigData 2018 

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