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Qi Shi, Lu Li, Jiaqi Feng, Wen Chen and Jinpei Yu
On-orbit object detection has received extensive attention in the field of artificial intelligence (AI) in space research. Deep-learning-based object-detection algorithms are often computationally intensive and rely on high-performance devices to run. Ho...
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Lantao You, Jianfeng Jiang and Yuejuan Han
As two significant performance indicators, structure connectivity and substructure connectivity have been widely studied, and they are used to judge a network?s fault tolerance properties from the perspective of the structure becoming faulty. An n-dimens...
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Olusola Adeniyi, Ali Safaa Sadiq, Prashant Pillai, Mohammed Adam Taheir and Omprakash Kaiwartya
The widespread use of technology has made communication technology an indispensable part of daily life. However, the present cloud infrastructure is insufficient to meet the industry?s growing demands, and multi-access edge computing (MEC) has emerged as...
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Xiaochuan Sun, Jiahui Gao and Yu Wang
During the deployment of practical applications, reservoir computing (RC) is highly susceptible to radiation effects, temperature changes, and other factors. Normal reservoirs are difficult to vouch for. To solve this problem, this paper proposed a rando...
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Ye Sun, Qing Chen, Dan Xie, Ning Shao, Wei Ding and Yuzhan Dong
This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as...
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