Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge deployment. Learn how embedded ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

The core file description is as follows: We have provided the complete implementation codes of three core innovative modules of GDD-YOLO, which are the key to optimizing the accuracy and computational ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

1 School of Mechatronic Engineering, Mechanical Engineering, China University of Mining and Technology, Xuzhou, China. 2 Department of Manufacturing Engineering and Management, University of ...

ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS), Research School of Physics, The Australian National University, Canberra, ACT 2601, Australia ARC Centre of Excellence for ...

Functional near-infrared spectroscopy (fNIRS)-based mental workload (MWL) classification using machine learning (ML) and deep learning (DL) algorithms. Data acquisition through fNIRS system ...