Abstract: Parallel lines, common geometric elements in daily environments, can form vanishing points in projective geometry. In this article, we introduce a novel method for the extrinsic calibration ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9552934 ...
Abstract: Accurate fault diagnosis is crucial to ensuring the stable operation of photovoltaic (PV) systems. With the increasing availability of condition monitoring data such as current-voltage (I-V) ...
Abstract: X-ray safety inspection machines are essential for maintaining security. In the past few years, the rapid development and widespread application of deep learning have significantly ...
Abstract: The analysis of grasping states in soft manipulators is crucial but is currently lacking in research. In this article, we propose a method for analyzing grasping states in soft manipulators.
Abstract: The one-shot multiple object tracking (MOT) framework simultaneously generates detected targets and re-identification (ReID) embeddings, and employs them to associate previous tracks.
Abstract: Oblique-chamber pneu-net soft actuators (OC-PNSAs) exhibit helical deformation upon inflation. The symmetric oblique-chamber pneu-net soft actuator (SOC-PNSA) consists of two symmetric ...
Abstract: Integrated sensing and communication (ISAC) has emerged as a pivotal technology for next-generation mobile networks to embed sensing function on communication waveforms. A major challenge in ...
Abstract: With the development of remote sensing technology, more and more data sources are available for landcover classification tasks, such as hyperspectral images (HSIs), light detection and ...
Abstract: Interactions and communication between individuals and individuals, individuals and groups, as well as groups and groups are common in both the natural and applied sciences. In this paper, ...
Abstract: The electrical-thermal characteristics of microfluidic cooled 3D-integrated circuits (3D-ICs) accounting for thermal metrics, including thermal resistance and pressure drop, and electrical ...
Abstract: Deep learning-based image compression has made great progresses recently. However, some leading schemes use serial context-adaptive entropy model to improve the rate-distortion (R-D) ...