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Titlebook: Machine Learning and Optimization for Engineering Design; Apoorva S. Shastri,Kailash Shaw,Mangal Singh Book 2023 The Editor(s) (if applica

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书目名称Machine Learning and Optimization for Engineering Design
编辑Apoorva S. Shastri,Kailash Shaw,Mangal Singh
视频video
概述Includes papers on machine learning-based algorithms in the field of optimization and engineering design.Consists of comprehensive research on optimization engineering.Presents state-of-the-art resear
丛书名称Engineering Optimization: Methods and Applications
图书封面Titlebook: Machine Learning and Optimization for Engineering Design;  Apoorva S. Shastri,Kailash Shaw,Mangal Singh Book 2023 The Editor(s) (if applica
描述.This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research wo
出版日期Book 2023
关键词Machine Learning; Metaheuristics; Optimization; Multi-objective Optimization; Engineering Design
版次1
doihttps://doi.org/10.1007/978-981-99-7456-6
isbn_softcover978-981-99-7458-0
isbn_ebook978-981-99-7456-6Series ISSN 2731-4049 Series E-ISSN 2731-4057
issn_series 2731-4049
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Design of Intelligent ICT Irrigation System Using Crop Growth Big Data Analysis, that the automation system of the existing system is difficult to be introduced into a farm environment with low technical capacity due to the difficulty of digitization of equipment and periodic input. Therefore, in this paper, a customized, intelligent irrigation system algorithm was designed usi
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