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Artificial Intelligence in Electric Machine Drives: Advances and Trends
This review paper systematically summarizes the existing literature on a...
10/11/2021 ∙ by Shen Zhang, et al. ∙
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A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
In this survey, we systematically summarize the current literature on st...
05/29/2021 ∙ by Fei Ye, et al. ∙
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A simple consistent Bayes factor for testing the Kendall rank correlation coefficient
In this paper, we propose a simple and easy-to-implement Bayesian hypoth...
05/02/2021 ∙ by Shen Zhang, et al. ∙
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Continuous-time Gaussian Process Trajectory Generation for Multi-robot Formation via Probabilistic Inference
In this paper, we extend a famous motion planning approach GPMP2 to mult...
10/25/2020 ∙ by Shuang Guo, et al. ∙
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Few-Shot Bearing Anomaly Detection Based on Model-Agnostic Meta-Learning
The rapid development of artificial intelligence and deep learning techn...
07/25/2020 ∙ by Shen Zhang, et al. ∙
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Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
Most of the data-driven approaches applied to bearing fault diagnosis up...
12/02/2019 ∙ by Shen Zhang, et al. ∙
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Visualization of Multi-Objective Switched Reluctance Machine Optimization at Multiple Operating Conditions with t-SNE
The optimization of electric machines at multiple operating points is cr...
11/04/2019 ∙ by Shen Zhang, et al. ∙
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Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics - A Comprehensive Review
In this survey paper, we systematically summarize the current literature...
01/24/2019 ∙ by Shen Zhang, et al. ∙
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