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Titlebook: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0; Proceedings of the 5 D. Jude Hemanth,Utku

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發(fā)表于 2025-3-21 16:13:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0
副標(biāo)題Proceedings of the 5
編輯D. Jude Hemanth,Utku Kose,Mevlut Ersoy
視頻videohttp://file.papertrans.cn/468/467421/467421.mp4
概述Presents advanced computing and networking technologies to enable intelligent and efficient IoT and CPS.Covers proceedings of ICAIAME 2023.Written by experts in the field
叢書名稱Engineering Cyber-Physical Systems and Critical Infrastructures
圖書封面Titlebook: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0; Proceedings of the 5 D. Jude Hemanth,Utku
描述.This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines...?.
出版日期Conference proceedings 2024
關(guān)鍵詞Computational Intelligence; Artificial Intelligence; Smart Applications; Machine Learning; Deep Learning
版次1
doihttps://doi.org/10.1007/978-3-031-56310-2
isbn_softcover978-3-031-56312-6
isbn_ebook978-3-031-56310-2Series ISSN 2731-5002 Series E-ISSN 2731-5010
issn_series 2731-5002
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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,Investigation of?the?Best AP Method for?Predicting Compressive Strength in?RAC, compared with that of Artificial Bee Colony Programming (ABCP). To evaluate the results, the best and mean values of the algorithms and the complexity of the generated models were analyzed. The results show the importance of the new IPP versions and a potentially lower complexity than the standard
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Classification of Facial Images and Moods Using Image-Based Algorithms, of all three models on the sentiment analysis task. After training, the success rates of CNN, VGG19 and ResNET50 algorithms are 98.64%, 98.58% and 98.19%, respectively. The results show how effective each model is at successfully classifying emotional expressions. Additionally, the advantages and l
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,“Clip” Thinking in Artificial Intelligence as the Tool of Agile Projects Management, areas of the project and prioritize their efforts accordingly. This approach helps ensure that everyone is working towards a shared goal and that progress is being made towards that goal regularly. Clip thinking is a valuable approach for Agile project management, as it helps teams to stay focused,
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