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Titlebook: 8th International Conference on Computing, Control and Industrial Engineering (CCIE2024); Advances in Computin Yuriy S. Shmaliy Conference

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发表于 2025-3-21 17:06:43 | 显示全部楼层 |阅读模式
期刊全称8th International Conference on Computing, Control and Industrial Engineering (CCIE2024)
期刊简称Advances in Computin
影响因子2023Yuriy S. Shmaliy
视频video
发行地址Presents current insights, developments, and trends in computing, control, and industrial engineering.Features research in such areas as computer technology and theory, big data, and Internet.Merges f
学科分类Lecture Notes in Electrical Engineering
图书封面Titlebook: 8th International Conference on Computing, Control and Industrial Engineering (CCIE2024); Advances in Computin Yuriy S. Shmaliy Conference
影响因子This book collects selected aspects of recent advances and experiences, emerging technology trends that have positively impacted our world from operators, authorities, and associations from CCIE 2024, to help address the world’s advanced computing, control technology, information technology, artificial intelligence, machine learning, deep learning, and neural networks. Meanwhile, the topics included in the proceedings have high research value and present current insights, developments, and trends in computing, control, and industrial engineering.
Pindex Conference proceedings 2024
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Advances in Human Factors of Transportationnal law. The increase of criminal activities upon abolishment of the COVID-19 lockdown has been imminent as seen in a handful of first world western countries, whereby mass riots and lootings occur ever so frequently. The detection of the specific crime activities corresponding to the severity level
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Lecture Notes in Networks and Systemsn of traditional path planning algorithm in three-dimensional space. The existing methods often have defects such as insufficient flexibility, large amount of calculation, and easy to fall into the local minimum trap. Aiming at these problems, this paper designs a simulation experiment environment b
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Heikki Ruohomaa,Vesa Salminen,Jussi Kantolangle crystal diamond tool grinding, a method based on multi-information fusion and improved particle swarm optimization radial basis function (IPSO-RBF) neural network is proposed to online recognize the tool’s grinding direction. By collecting the vibration signals and acoustic emission (AE) signal
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