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Titlebook: Data-Driven Innovation for Intelligent Technology; Perspectives and App Hiram Ponce,Jorge Brieva,Ernesto Moya-Albor Book 2024 The Editor(s)

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书目名称Data-Driven Innovation for Intelligent Technology
副标题Perspectives and App
编辑Hiram Ponce,Jorge Brieva,Ernesto Moya-Albor
视频video
概述Focuses on new perspectives and applications of data-driven innovation technologies and Applied AI.Includes theory and use cases to help readers understand the basics of data-driven innovation.Emphasi
丛书名称Studies in Big Data
图书封面Titlebook: Data-Driven Innovation for Intelligent Technology; Perspectives and App Hiram Ponce,Jorge Brieva,Ernesto Moya-Albor Book 2024 The Editor(s)
描述.​.This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value..It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others..This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems..
出版日期Book 2024
关键词Data Science for Industry; Artificial Intelligence for Industry; Technology Trends; Machine Learning fo
版次1
doihttps://doi.org/10.1007/978-3-031-54277-0
isbn_softcover978-3-031-54279-4
isbn_ebook978-3-031-54277-0Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
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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https://doi.org/10.1007/978-4-431-68201-1family and school environment to women so that they develop their skills around STEM careers. In future work, the data obtained could be analyzed in greater depth, considering that the richness of the open responses may be lost by coding the respondents’ opinions as categorical variables.
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Intraoperative Echocardiographyogram designed with an intuitive interface to facilitate the deconvolution process by Spector Mossbauer. This program will be freely distributed without operational restrictions. Experimental validation is performed on Mossbauer spectra generated using the developed program and those obtained by exp
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2197-6503 ion for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems..978-3-031-54279-4978-3-031-54277-0Series ISSN 2197-6503 Series E-ISSN 2197-6511
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