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Titlebook: CSEI: International Conference on Computer Science, Electronics and Industrial Engineering (CSEI); Advances and Applica Marcelo V. Garcia,C

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發(fā)表于 2025-3-21 20:01:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱CSEI: International Conference on Computer Science, Electronics and Industrial Engineering (CSEI)
副標(biāo)題Advances and Applica
編輯Marcelo V. Garcia,Carlos Gordón-Gallegos
視頻videohttp://file.papertrans.cn/221/220579/220579.mp4
概述Covers proceedings of the Conference on Computer Science, Electronics, and Industrial Engineering (CSEI 2022).Discusses topics such as the use of metaheuristic for non-deterministic problem solutions.
叢書(shū)名稱Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: CSEI: International Conference on Computer Science, Electronics and Industrial Engineering (CSEI); Advances and Applica Marcelo V. Garcia,C
描述.This book provides insights into the 5th Edition of the Proceedings of the Conference on Computer Science, Electronics, and Industrial Engineering (CSEI 2022) held in Ambato, Ecuador. This event brings together researchers, students, and professionals from the industrial and academic sectors, seeking to create and strengthen links between issues of joint interest, thus promoting technology and innovation nationwide...?..The topics of knowledge covered by the event are smart trends for industrial applications, the Internet of things (IoT), control and automation engineering, computer science, and health informatics. The book is helpful for active researchers and practitioners in the field..
出版日期Conference proceedings 2023
關(guān)鍵詞Computational Intelligence; Software Development; Artificial Intelligence; Educational Computing; E-Mana
版次1
doihttps://doi.org/10.1007/978-3-031-30592-4
isbn_softcover978-3-031-30591-7
isbn_ebook978-3-031-30592-4Series 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
The information of publication is updating

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Multi-agent Architecture for?Passive Rootkit Detection with?Data Enrichmentand aggregation of information to generate threat intelligence, while maintaining high performance. The results show the possibility of aggregating information to data flows used by rootkits in order to have effective cyber defense actions against cybernetic threats without major impacts on the existing network infrastructure.
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2367-3370 se of metaheuristic for non-deterministic problem solutions..This book provides insights into the 5th Edition of the Proceedings of the Conference on Computer Science, Electronics, and Industrial Engineering (CSEI 2022) held in Ambato, Ecuador. This event brings together researchers, students, and p
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PCAnEn - Hindcasting with?Analogue Ensembles of?Principal Componentsrors in the prediction of some meteorological variables by 30% and, at the same time, decreased the prediction time by 48%. It was also verified that our implementation of this methodology in MATLAB is around two times faster than in R.
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