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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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發(fā)表于 2025-3-21 19:39:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning and Optimization for Engineering Design
編輯Apoorva S. Shastri,Kailash Shaw,Mangal Singh
視頻videohttp://file.papertrans.cn/621/620569/620569.mp4
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
叢書名稱Engineering Optimization: Methods and Applications
圖書封面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
關(guān)鍵詞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
The information of publication is updating

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Ssang-Hee Seo,Bong-Hyun Kimth significant industry experience.LETFs are a growing area Leveraged Exchange-Traded Funds (LETFs) are publicly-traded funds that promise to provide daily returns that are in a multiple (positive or negative) of the returns on an index. To meet that promise, the funds use leverage, which is typical
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Antara Asthana,Vidya Kumbhar,Prafulla B. Bafna,Alka GadakhTFs), with emphasis on the roles of leverage ratio, realized volatility, investment horizon, and tracking errors. This study provides new insights on the risks associated with LETFs. It also leads to the discussion of new risk management concepts, such as admissible leverage ratios and admissible ri
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Namita Kalyan Shinde,Ashutosh Seth,Payal Kadame in the economic crisis of 2008-09 and in the broader conteThis?book considers the current domestic and global political and economic landscape and ?will show that there are three different but related kinds of leverage that together have emerged as the dominant strategy in economics, politics and
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Chetan B. Khadse,Yogesh Tatte,Swati Jaiswalned working mothers and their families. Paid parental leave is needed because a major force within our society, leveraging, is completely out of balance in our family system. This force needs to be recognized, harnessed, and redirected toward humane ends. Like the Protestant Ethic which was a drivin
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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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