Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Scientists from the Institut Langevin in Paris and TU Wien in Vienna have developed a new technique for detecting hidden objects, such as buried treasure or submarines, using complex acoustical ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...

Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, People’s Republic of China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Fudan ...

Abstract: This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for ...

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Blockchain security startup Mamori today announced it has secured $5 million in seed funding for its platform that uses machine learning to detect and remediate exploits. The round was led by ...

Drone Guru app allows users to control the Tello drone through a user-friendly interface and perform real-time object detection using YOLOv5 on the video stream. Its well-designed UI enhances the ...