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Titlebook: Intelligent Systems Modeling and Simulation III; Artificial Intellige Samsul Ariffin Abdul Karim Book 2024 The Editor(s) (if applicable) an

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书目名称Intelligent Systems Modeling and Simulation III
副标题Artificial Intellige
编辑Samsul Ariffin Abdul Karim
视频videohttp://file.papertrans.cn/477/476208/476208.mp4
概述Explores advanced integration in Intelligent Systems Modeling, merging AI, math, and stats for simulations.Witnesses impactful outcomes in decision-making, simulations, and big data through IR4.0 and
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Intelligent Systems Modeling and Simulation III; Artificial Intellige Samsul Ariffin Abdul Karim Book 2024 The Editor(s) (if applicable) an
描述.This book continues the previous edition: Samsul Ariffin Abdul Karim (2022). Intelligent Systems Modeling and Simulation II: Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods, Studies in Systems, Decision and Control (SSDC, volume 444, 22k Access). After two years, Intelligent Systems Modeling and Simulation have evolved tremendously through the latest and advanced emergence technologies and many highly sophisticated algorithms have been developed by blending artificial intelligence (AI) and mathematics, statistics, data modelling and other related research areas. These blends offer many opportunities and further investigations into the overlapand equality between these areas. It is a well-known fact that most industries and companies have utilized this IR4.0 architecture in various levels of manufacturing and decision processes. Besides, nowadays IR5.0 or Society5.0 has also been embedded into various systems in industries as well as in Teaching and Learning (TL). The combination of IR4.0 and Society 5.0 may result in more impactful outcomes, especially in automated decision-making and reliable simulations-based modelling. Furthermore, IR4.0
出版日期Book 2024
关键词Artificial Intelligence; Deep learning; Machine learning; Neural Networks; Big Data Analytics; AI in Teac
版次1
doihttps://doi.org/10.1007/978-3-031-67317-7
isbn_softcover978-3-031-67319-1
isbn_ebook978-3-031-67317-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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978-3-031-67319-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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A Location-Based Fraud Detection in Shipping Industry Using Machine Learning Comparison Techniques,ng significant growth due to globalization and the rise of e-commerce, particularly during the recent pandemic. This expansion attracts fraudsters who exploit the system by transporting illegal or banned items using fake declaration documents. The immense volume of shipments makes manual inspection
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A Review on Techniques and Approaches of Deep Learning in Bone Fracture Detection,e to things like tiredness, accidents, age-related brittleness, and traumas. This research looks for potential weak spots in the bone structure using cutting-edge medical imaging methods like X-rays, CT scans, MRI, as well as ultrasound on occasion. The use of artificial intelligence—more especially
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