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Titlebook: Proceedings of 2024 Chinese Intelligent Systems Conference; Volume III Yingmin Jia,Weicun Zhang,Huihua Yang Conference proceedings 2024 The

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書目名稱Proceedings of 2024 Chinese Intelligent Systems Conference
副標(biāo)題Volume III
編輯Yingmin Jia,Weicun Zhang,Huihua Yang
視頻videohttp://file.papertrans.cn/765/764507/764507.mp4
概述Focuses on intelligent systems both in theory and practice.Comprehensively studies Linear and nonlinear systems design, implementation, testing and performance evaluation.Presents the latest research
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Proceedings of 2024 Chinese Intelligent Systems Conference; Volume III Yingmin Jia,Weicun Zhang,Huihua Yang Conference proceedings 2024 The
描述.This book constitutes the proceedings of the 20th Chinese Intelligent Systems Conference, CISC 2024, which was held on October 26–27, 2024, in Guilin, Guangxi, China.?The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behaviour, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of flying vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students..
出版日期Conference proceedings 2024
關(guān)鍵詞Intelligent Control; Artificial Intelligence; Complex Systems; Robust and Adaptive Control; Multi-Agent
版次1
doihttps://doi.org/10.1007/978-981-97-8658-9
isbn_softcover978-981-97-8660-2
isbn_ebook978-981-97-8658-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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,Ensemble CNNs-Transformers Fusion Network for?Tumor Segmentation in?Pathological Images, They can fully capture the local and global dependencies between pathological image features. This network was evaluated on the liver cancer dataset and GLAS dataset, and demonstrated favorable performance indicators against various mainstream networks.
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,Moment Observability for Linear Stochastic Impulsive Systems with?Markovian Switching,ique, it is shown that the moment observability of original system is equivalent to the observability of corresponding expanded deterministic impulsive system, then several moment observability criteria are established in terms of algebraic conditions. Finally, a numerical example is given to verify
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Discrete-Time Command Filtered Consensus Control for Multiple Vehicle Systems,racking control problem. The CFB is used to predict the future information in the backstepping process and then avoid the noncausal problem. The weighted Lyapunov function is constructed to analyse the stability of the close-loop system. The simulation results are given to demonstrate the availabili
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