Its network architecture is made up of three primary parts: the backbone, the neck, and the head. The YOLO-V5 model backbone is based on the Cross Stage Partial Network (CSP-Net). It aims to extract high-level features while maintaining high accuracy and shortening the model processing time...
Versions Notes Abstract Research studies on EEG-based mental workload detection for a passive BCI generally focus on classifying cognitive states associated with the performance of tasks at different levels of difficulty, with no other aspects of the user’s mental state considered. However, in real...
Lect. Notes Netw. Syst. 2022, 286, 377–390. [CrossRef] 7. Mohandas, P.; Dhanaraj, J.S.A.; Gao, X.-Z. Artificial Neural Network Based Smart and Energy Efficient Street Lighting System: A Case Study for Residential Area in Hosur. Sustain. Cities Soc. 2019, 48, 101499. [CrossRef...