Astronomers from Serbia and Russia have conducted deep optical observations of a cloud of neutral atomic hydrogen, designated FAST J0139+4328. Results of the observational campaign, published December ...
Deep learning pipeline for player detection and analytics using YOLO, DeepSORT, and custom metrics covers model training, tracking, feature extraction, insights, and visualization for sports data.
As more nations and private companies turn their sights toward the Moon, the region between Earth and lunar orbit has become a frontier of opportunity, risk, and strategic competition. Now, the U.S.
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Scientists using a global array of radio telescopes have detected the universe’s lowest-mass dark object by observing how it warped light through gravitational lensing. The invisible mass, about a ...
Deep-Learning-Based Object Detection and Tracking of Debris Flows in 3-D Through LiDAR-Camera Fusion
Abstract: Debris flows are mixtures of water and sediments and are a significant natural hazard in mountainous regions. A novel monitoring approach combining LiDAR sensors and video cameras enables ...
According to Michael Johnson, the four-time Olympic gold medallist and eight-time world champion, Grand Slam Track (GST) was going to revolutionize his sport and see athletes treated as “true ...
Abstract: Multi-modal fusion is imperative to the implementation of reliable object detection and tracking in complex environments. Exploiting the synergy of heterogeneous modal information endows ...
A transmit antenna at Site 1 of the Deep-Space Advanced Radar Capability (DARC) in Western Australia is shown at night. Credit: Doug Humphries, BAE Systems WASHINGTON — A new deep-space radar site in ...
1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Malacca, Malaysia. 2 Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP) ...
Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...
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