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Article
Predictive maintenance of abnormal wind turbine events by using machine learning based on condition monitoring for anomaly detection
The predictive maintenance of wind turbines has become a critical issue with the rapid development of wind power generation. The early detection of abnormal operation conditions can prevent failure status, whi...
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Chapter and Conference Paper
Covid-19 Detection Based on Chest X-ray Images Using Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks
The novel of Coronavirus (Covid-19) has effective in worldwide year by year, which led to a serious problem for affected lungs with different sequelae from patient. The techniques in Vision has a higher perfor...
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Chapter and Conference Paper
Scanning QR Codes for Object Detection Based on Yolo-V7 Algorithm and Deblurring Generative Adversarial Network
Location-based advertising (LBA) has been popular for several years, and the amount of global investment is increasing year by year. Nowadays, in the vigorous development of vehicle vision systems, many recogn...
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Article
A differential privacy-preserving federated learning scheme with predictive maintenance of wind turbines based on deep learning for feature compression and anomaly detection with state assessment
The transport and supply of traditional energy have been greatly affected, which has attracted the attention of countries worldwide and has become an urgent issue. Limited by its own traditional energy shortag...
