Particle swarm optimization in image processing of power flow learning distribution

Discover Internet of Things Pub Date : 2020-12-23 DOI:10.1007/s43926-021-00012-9

Chuanchao Huang

引用次数: 8

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粒子群优化在潮流学习分布图像处理中的应用

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来源期刊

Discover Internet of Things Internet of Things (IoT)-

CiteScore

7.50

自引率

0.00%

发文量

审稿时长

28 days

期刊介绍： Discover Internet of Things is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open access, community-focussed journal publishing research from across all fields relevant to the Internet of Things (IoT), providing cutting-edge and state-of-art research findings to researchers, academicians, students, and engineers. Discover Internet of Things is a broad, open access journal publishing research from across all fields relevant to IoT. Discover Internet of Things covers concepts at the component, hardware, and system level as well as programming, operating systems, software, applications and other technology-oriented research topics. The journal is uniquely interdisciplinary because its scope spans several research communities, ranging from computer systems to communication, optimisation, big data analytics, and application. It is also intended that articles published in Discover Internet of Things may help to support and accelerate Sustainable Development Goal 9: ‘Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation’. Discover Internet of Things welcomes all observational, experimental, theoretical, analytical, mathematical modelling, data-driven, and applied approaches that advance the study of all aspects of IoT research.