Astronomers at the International Centre for Radio Astronomy Research (ICRAR), working with international collaborators, have made a striking discovery involving a previously unknown type of cosmic ...
The optimized detection model is integrated into both a mobile application and a dedicated edge device, demonstrating that real-time waste detection can operate reliably without cloud connectivity.
Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
A new analysis of the interstellar object 3I/ATLAS has uncovered a series of unusual physical and orbital characteristics that are prompting scientists to re-evaluate what the fast-moving visitor ...
Abstract: Precisely identifying objects of interest in remote sensing imagery requires not only accurate classification but also precise delineation of their location, scale, and orientation. However, ...
Abstract: In industrial inspection, severe class imbalance poses a major challenge for training accurate detection models. Generative methods offer a potential solution by augmenting minority-class ...
1 Australian Centre for Robotics, University of Sydney, Sydney, NSW, Australia 2 Department of Marine Technology, Norwegian University of Science and Technology, Trondheim, Norway Visual surveys by ...
Researchers from the São Paulo State University (UNESP) and the Federal University of Espírito Santo (UFES) in Brazil have developed a wearable device to help visually impaired people move around. The ...
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