Abstract: Remote sensing (RS) image processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...

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 ...

Researchers have developed a new algorithm that can help multiple drones work together to control and transport heavy payloads. Developed by scientists at TU Delft, the algorithm can help perform ...

CEDAR RAPIDS, Iowa (KCRG) - The College Community School District’s is the latest to start using gun detection software to prevent mass shootings. The school district has contracted with ZeroEyes, ...

Target detection in side-scan sonar images under complex environments is challenging due to noisy backgrounds, occlusion, and blurred target boundaries, which reduce the accuracy and robustness of ...

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 ...

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 ...

Detection models are the most widely used task type within Geti and computer vision in general. It’s vital that models available for Geti's object detection task are kept up to date and provide a high ...