Abstract: Aiming at the long-distance trans-regional transmission of power data in the new power system, this paper first analyzes the suitability of 5G communication network and power business, then ...
Abstract: Efficient and intelligent 3-D change detection is a fundamental problem in urban data updating, management, and planning. However, this paradigm faces some challenges: 1) there is a lack of ...
Abstract: Simulators are indispensable parts of the research and development necessary to advance countless industries, including cellular networks. With simulators, the evaluation, analysis, testing, ...
Abstract: The ability to cope with out-of-distribution (OOD) corruptions and adversarial attacks is crucial in real-world safety-demanding applications. In this study, we develop a general mechanism ...
Abstract: Emerging mobile robots require Simultaneous Localization and Mapping (SLAM) for autonomous driving and seamless interaction with the surrounding objects. Previous RGB-based visual SLAM ...
Large network scans have been targeting Cisco ASA devices, prompting warnings from cybersecurity researchers that it could indicate an upcoming flaw in the products. GreyNoise has recorded two ...
Abstract: Event cameras draw inspiration from biological systems, boasting low latency and high dynamic range while consuming minimal power. The most current approach to processing Event Cloud often ...
Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. A Bay Area Rapid Transit train approaches a BART ...
SAN FRANCISCO — A regional commuter rail system in the San Francisco Bay Area that shut down all its trains because of a computer issue resumed service seven hours later, forcing resident to scramble ...
Abstract: 3D object detectors based on LiDAR have been extensively used in autonomous and robotic systems. Efficient voxel-based models must downsample their feature space to reduce computation, which ...
Abstract: Graph Neural Networks (GNNs) have gained momentum in graph representation learning and boosted the state of the art in a variety of areas, such as data mining (e.g., social network analysis ...