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 American Clinical Neurophysiology Society updated its guidelines on continuous EEG monitoring last year, providing support for the use of the technology in neonates at high risk for seizures.

The EEG system in use for a neonatal patient. [Image courtesy of CeriBell] CeriBell (Nasdaq:CBLL) announced today that it received FDA 510(k) clearance for its next-generation Clarity algorithm. The ...

To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Add Yahoo as a preferred source to see more of our stories on Google. Lancaster County School District installed weapons detection systems in all middle and high schools and began operation on Friday.

YOLOv7 is an advanced deep learning algorithm for object detection, representing an improved version of the YOLO (You Only Look Once) series. Utilizing an end-to-end training approach based on deep ...

A high school in suburban Chicago was awarded a grant to implement AI-powered gun detection technology. Oak Lawn Community High School District 229 was one of 50 recipients selected nationwide for the ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...

Faster R-CNN is a Object Detection Model based on the Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks paper.