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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2023 The Editor(s) (if applicable) and The Aut

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发表于 2025-3-21 19:05:11 | 显示全部楼层 |阅读模式
书目名称Intelligent Systems and Applications
副标题Proceedings of the 2
编辑Kohei Arai
视频video
概述Presents recent research in intelligent systems and applications.Gathers the proceedings of the Intelligent Systems Conference 2022 (IntelliSys 2022) held in Amsterdam.Focuses on various areas of inte
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2023 The Editor(s) (if applicable) and The Aut
描述.This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings..It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificial intelligence has helped to revolutionize the whole globe. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. Distinguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new d
出版日期Conference proceedings 2023
关键词Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
版次1
doihttps://doi.org/10.1007/978-3-031-16078-3
isbn_softcover978-3-031-16077-6
isbn_ebook978-3-031-16078-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 20:56:26 | 显示全部楼层
2367-3370 nguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new d978-3-031-16077-6978-3-031-16078-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Towards Data Science for Cybersecurity: Machine Learning Advances as Glowing Perspective,ht data-driven model, represents the main task is to achieve for an automated and intelligent security system. In this paper, we will propose a ., focusing on data science for cybersecurity, where the data collected from trusted sources t are relevant for cybersecurity. Our work will kickstart discu
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