Abstract: The Region-based Convolutional Neural Network (R-CNN), which is more rapid, has been recognized as the best detection algorithm. With our design basis for Faster RCNN (FRCNN), the designers ...

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 ...

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 ...

Implement a Star/Medoid radius-based grouping algorithm to improve the accuracy of clone group detection beyond simple transitive grouping. The current groupClones ...

Rutherford County Schools will begin using weapons detection systems at varsity football games starting in September as part of new safety measures for athletic events. The security upgrades will ...

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 ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...

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