This paper tackles the challenge of identifying sparse systems in environments with impulsive noise and proposes the FNSAF algorithm, which combines the Fair estimator with normalized subband adaptive ...

Decentralized smart manufacturing systems serve as a robust foundation for optimizing production processes and maintaining stringent quality standards in modern industrial environments. However, in ...

The adaptive estimation comprises two modules, where the first part involves the design of the momentum-learning-control-term-based fractional-order least mean squares algorithm and second part ...

The growing uncertainty associated with the increasing penetration of wind and solar power generation has presented new challenges to the operation of large-scale electric power systems. Motivated by ...

Their findings highlight the significance of hyperparameter tuning in improving classification accuracy, particularly in optimizing SVM kernel functions and ANN architectures. This study aligns with ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of ...

1 Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, Guizhou, China 2 China Southern Power Grid Energy Development Research Institute, Guangzhou, Guangdong, China 3 China ...