Abstract: Detection and imaging play a vital role in modern radar technology and have seen significant interest across various fields, including autonomous vehicles, defense, environmental monitoring, ...
Abstract: The perception and processing of transparent objects face significant challenges in various applications, primarily due to the limitations of traditional sensors. These sensors often ...
Abstract: To perceive, humans use memory to fill in gaps caused by our limited visibility, whether due to occlusion or our narrow field of view. However, most 3D object detectors are limited to using ...
Abstract: Ensuring reliable object detection in adverse conditions is paramount for safe autonomous driving. While cameras and LiDAR struggle in such scenarios, Frequency Modulated Continuous Wave ...
Abstract: Under the development of intelligent transportation systems, In-Vehicle Networks (IVNs) serve as a critical channel for both internal and external communications. However, the inherent ...
Abstract: You Only Look Once (YOLO) has established itself as a prominent object detection framework due to its excellent balance between speed and accuracy. This article provides a thorough review of ...
(CNN) — Astronomers have spotted a galaxy so faint, it’s almost invisible — a discovery that could help illuminate one of the most elusive substances in the universe. The researchers found Candidate ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Abstract: Early detection of brain tumors using Magnetic Resonance Imaging (MRI) is crucial in clinical diagnosis. This study proposes an improved deep learning framework combining Convolutional ...
Nearly 6 in 10 Americans disapprove of the US decision to take military action in Iran, as most say a long-term military conflict between the two nations is likely, according to a new CNN poll ...
Abstract: In this article, we propose a lightweight privacy-preserving convolutional neural network (LPP-CNN) framework for military vehicle image classification. Existing target classification ...