Abstract: This article presents two fixed-time (FXT) distributed adaptive algorithms to solve a class of convex optimization problems for multiagent systems. First, a distributed adaptive protocol ...
Abstract: In recent years, Low Earth Orbit (LEO) satellite signals of opportunity (SOPs) positioning technology has emerged a significant alternative to the Global Navigation Satellite System (GNSS), ...
Abstract: Integrating unmanned aerial vehicle laser scanning (ULS) and terrestrial laser scanning (TLS) data in complex forest environments remains a significant challenge. Despite the availability of ...
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Viral Mystery: Unraveling Instagram's Algorithm
Kacey explores the reasons behind an incredibly popular Instagram post. Trump says he's ready to put 'major sanctions' on Russia if NATO nations do the same Paramount denounces boycott of Israeli film ...
Abstract: To address the efficiency and success rate issues caused by highly coupled conflicts in multi-robot path planning in dense scenarios, the MB-IHCA* algorithm is proposed. This algorithm ...
Abstract: With the increasing frequency of space exploration activities, the importance of satellite autonomous navigation continues to grow. To address the issue of the degraded integrated navigation ...
Abstract: This paper comprehensively reviews the YOLO series algorithms in computer vision. It begins by emphasizing the significance of object detection in security, driving and image analysis, and ...
Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a patent-pending innovation ...
When Dr Almaz Yohannis-Mbathi steps into her lecture hall at the University of Nairobi, she carries more than just books and notes. The computing and informatics lecturer brings more than 20 years of ...
Abstract: Yield is one of the most critical driving factors in the semiconductor industry. Much time and resources are spent improving yield by identifying and solving problems. A yield prediction ...
Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...
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