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Titlebook: Smart Materials and Manufacturing Technologies for Sustainable Development; Vijeesh Vijayan,Rashmi P. Shetty,Srinivasa P. Pai Conference p

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书目名称Smart Materials and Manufacturing Technologies for Sustainable Development
编辑Vijeesh Vijayan,Rashmi P. Shetty,Srinivasa P. Pai
视频video
概述Uncovers the future of materials science and manufacturing processes for creating a smarter, greener world.Promotes sustainable innovation in the areas of materials and manufacturing for a better futu
丛书名称Advances in Science, Technology & Innovation
图书封面Titlebook: Smart Materials and Manufacturing Technologies for Sustainable Development;  Vijeesh Vijayan,Rashmi P. Shetty,Srinivasa P. Pai Conference p
描述.This book offers a comprehensive exploration of " Smart Materials and Manufacturing Technologies for Sustainable Development “delves into the dynamic intersection of innovative materials, intelligent manufacturing, and sustainable practices, presenting a vital resource for researchers, engineers, and professionals seeking to shape a greener and more advanced future...Covering a wide range of topics, the book delves into the latest advancements in materials processing, with a particular focus on cutting-edge technologies such as advanced manufacturing, nanotechnology, and materials. The book addresses the pressing need for sustainable manufacturing practices, unveiling eco-friendly approaches that reduce environmental impact without compromising performance. Chapters dedicated to artificial intelligence and machine learning illuminate how these game-changing technologies facilitate manufacturing, materials characterization, and process optimization...By integrating IoT, Industry 4.0, robotics, and automation, this book highlights the growing synergy between intelligent manufacturing and sustainable materials, paving the way for increased efficiency and productivity. It examines the
出版日期Conference proceedings 2024
关键词Additive Manufacturing; Nanotechnology; Materials Characterization; Artificial Intelligence in Material
版次1
doihttps://doi.org/10.1007/978-3-031-63909-8
isbn_softcover978-3-031-63911-1
isbn_ebook978-3-031-63909-8Series ISSN 2522-8714 Series E-ISSN 2522-8722
issn_series 2522-8714
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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Praveen Samarthi,Yashwanth Pamu,Venkata Sarath Pamu,Asmitha Gurram,Mahesh Konaskillset with the mapping of points, polygons, and relationships cross-sectionally and over time, with the added benefit of describing the distribution of values associated with those features and/or outcomes. Additionally, we present a new visualization tool called Geospatial Point Density, wherein
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Vikas Marakini,Sagar Vijayendra,Grynal D’Mello,P. Srinivasa PaiA occurs when the outcomes of one unit [co]vary in the same direction of the outcomes of its neighboring units. Since these neighbors are identified based on distance, travel times, or contiguity rules, as we discussed in Chap. ., the resulting covariation inherently has a spatial component that is
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