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01/10/2023
CDA: Contrastive-adversarial Domain Adaptation
Recent advances in domain adaptation reveal that adversarial learning on...
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09/28/2021
An Offline Deep Reinforcement Learning for Maintenance Decision-Making
Several machine learning and deep learning frameworks have been proposed...
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03/16/2021
Deep Time Series Models for Scarce Data
Time series data have grown at an explosive rate in numerous domains and...
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11/13/2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Deep learning classifiers are assisting humans in making decisions and h...
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06/05/2020
Health Indicator Forecasting for Improving Remaining Useful Life Estimation
Prognostics is concerned with predicting the future health of the equipm...
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10/04/2019
Generative Adversarial Networks for Failure Prediction
Prognostics and Health Management (PHM) is an emerging engineering disci...
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04/12/2019
Remaining Useful Life Estimation Using Functional Data Analysis
Remaining Useful Life (RUL) of an equipment or one of its components is ...
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12/18/2018