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Titlebook: Advances in Computational Intelligence and Communication; Selected Papers from Manolo Dulva Hina,Amar Ramdane-Cherif,Assia Soukan Book 2023

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發(fā)表于 2025-3-21 18:03:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Computational Intelligence and Communication
期刊簡稱Selected Papers from
影響因子2023Manolo Dulva Hina,Amar Ramdane-Cherif,Assia Soukan
視頻videohttp://file.papertrans.cn/148/147166/147166.mp4
發(fā)行地址Includes selected papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021).Illustrates recent application of computational intelligence in various
學(xué)科分類EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Advances in Computational Intelligence and Communication; Selected Papers from Manolo Dulva Hina,Amar Ramdane-Cherif,Assia Soukan Book 2023
影響因子.This book presents select papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system; (2) big data, Internet of Things, and smart cities; (3) wireless communication systems and cyber security and; (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modelling are not the preferred solution and posits alternative solutions. This collection of applications demonstrates the important advances in computational intelligence. The chapters present various ideas that will benefit researchers, graduate students and engineers in this domain..
Pindex Book 2023
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https://doi.org/10.1007/978-3-031-19523-5Computational intelligence; Artificial intelligence; Machine learning; Ambient intelligence; Fault-toler
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978-3-031-19525-9European Alliance for Innovation 2023
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Advances in Computational Intelligence and Communication978-3-031-19523-5Series ISSN 2522-8595 Series E-ISSN 2522-8609
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https://doi.org/10.1007/978-3-658-45726-6e to do so by scanning and identifying their surroundings thanks to the use of sensors: by using a combination of different types of sensors, various data are gathered and processed for a better grasp of the surroundings. However, sensors’ performances can be hindered by external variables, in parti
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https://doi.org/10.1007/978-3-658-45726-6r patients with motor impairment of the lower limbs. Indeed, to validate the proposed controller, co-simulation experiments are performed using SolidWorks, SimMechanics, and MATLAB/Robotics Toolbox. The results showed that the proposed approach outperforms the backstepping controller, backstepping f
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Carolin John-Wenndorf,Sascha Zielinskiility. However, this choice cannot be kept over a long period. Big Data applications evolve at different rates. Moreover, the execution of these applications requires configurations that depend on the resources used. These configurations are not fixed; some evolve over time. We have rethought our Bi
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