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Titlebook: Data Science and Applications; Proceedings of ICDSA Satyasai Jagannath Nanda,Rajendra Prasad Yadav,Muk Conference proceedings 2024 The Edit

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書目名稱Data Science and Applications
副標題Proceedings of ICDSA
編輯Satyasai Jagannath Nanda,Rajendra Prasad Yadav,Muk
視頻videohttp://file.papertrans.cn/264/263080/263080.mp4
概述Presents the latest innovations and developments in data science and applications.Provides original works presented at ICDSA 2023 held in Jaipur, India.Serves as a reference for researchers and practi
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Data Science and Applications; Proceedings of ICDSA Satyasai Jagannath Nanda,Rajendra Prasad Yadav,Muk Conference proceedings 2024 The Edit
描述.This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing..
出版日期Conference proceedings 2024
關(guān)鍵詞Models and Algorithms; Data Science Applications; Data Science Challenges; machine learning; Data Mining
版次1
doihttps://doi.org/10.1007/978-981-99-7820-5
isbn_softcover978-981-99-7819-9
isbn_ebook978-981-99-7820-5Series 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 Singapor
The information of publication is updating

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Emotion Recognition Through Facial Expressions from Images Using Deep Learning Techniques, voice, and other nonverbal cues. It is an important research topic in computer vision and has a wide range of applications. Emotion recognition from facial expressions is a challenging task in computer vision, and deep learning has shown remarkable performance in this area. In this study, we presen
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Optimization of Process Parameters in the Abrasive Waterjet Machining Using Bees Algorithm,ustry is suffering from significant problems associated with product failures. In this study, the Bees Algorithm (BA) is used to anticipate the process parameters that would result in the lowest feasible machining efficiency numbers (surface roughness, traverse speed, waterjet pressure, standoff dis
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Ethereum Blockchain for Private Equity Crowdfunding: Enabling Seamless USDC and Share Token Transacf the company based on the percentage of common shares held by that shareholder. A capitalization table, often referred to as a cap table, is a record stored in formats like spreadsheets or database tables. It provides comprehensive information about ownership distribution within a company. This doc
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Cardiovascular Disease Prediction Using Deep Learning Models,e less severe and this may decrease the death rates. Distinguishing risk factors utilizing deep learning models is a hopeful methodology. Our research is based on the “Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques”
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Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification. TB is a bacterial illness that is caused by Mycobacterium tuberculosis. This lung disease is highly infectious and can potentially infect other human body organs. Early diagnosis and treatment of tuberculosis are essential components in lowering death rates and halting the progression of the illne
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