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Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2023 The Editor(s) (if app

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書目名稱Complex, Intelligent and Software Intensive Systems
副標(biāo)題Proceedings of the 1
編輯Leonard Barolli
視頻videohttp://file.papertrans.cn/232/231619/231619.mp4
概述Presents recent research on complex, intelligent, and software intensive systems.Includes the proceedings of the 17th International Conference on Complex, Intelligent, and Software Intensive Systems.W
叢書名稱Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli Conference proceedings 2023 The Editor(s) (if app
描述.This book aims to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: software intensive systems, complex systems and intelligent systems..Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems..Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions.. .The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both sof
出版日期Conference proceedings 2023
關(guān)鍵詞Intelligent Systems; Complex Systems; Artificial Intelligence; Bio-Inspired Computing; Data Mining; Optim
版次1
doihttps://doi.org/10.1007/978-3-031-35734-3
isbn_softcover978-3-031-35733-6
isbn_ebook978-3-031-35734-3Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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