Proença, M. C. and Mendes, R. N. (2024) Beach Surveillance: A Contribution to Automation. Journal of Geoscience and ...

In deep learning, large datasets are used to train artificial neural networks to carry out tasks without explicit programming. Furthermore, the technology is used in computer vision, speech ...

LBSNet aims to enhance the perception of transparent and reflective objects in complex and dynamic environments, using RGB images only. It leverages the synergy between boundary detection and semantic ...

Astronomers using NASA's Chandra X-ray space telescope have witnessed a massive black hole jet slam into an unknown object in space. Astronomers have seen black hole jets blasting cosmic objects ...

02 TCSVT Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection Paper/Code 09 TCSVT Multi-graph Fusion and Learning for RGBT Image Saliency Detection Paper/Code 10 ...

In addition to the growth of physical tissue, such as muscles, bones, and skin, deep sleep also helps with memory consolidation (new memories are turned into long-term memories) and improving daytime ...

Test Drive Challenge: Detection and Classification of Objects of Interest Ecopia Tech Corporation's funded solution is the 2 nd project from IDEaS 1 st Call for Proposals for the Competitive Project ...

Abstract: This paper presents the ACC system for autonomous trams, including three core processes: object detection, collision assessment and control. The system utilizes the YOLOX deep learning model ...

Mobile phone and seatbelt detection cameras are now enforcing Victorian road rules. These cameras detect and take photos of drivers who use portable devices, like mobile phones. The cameras can also ...

The new theory suggests that instead, a deep ocean of water lies just below ... Militzer developed the new theory thanks to advances in machine learning that allowed him to run a computer model ...