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Data-driven innovation for intelligent technologyperspectives and applications in ICT /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data-driven innovation for intelligent technologyedited by Hiram Ponce ... [et al.].
Reminder of title:	perspectives and applications in ICT /
other author:	Ponce, Hiram.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xii, 246 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Technological innovations.
Online resource:	https://doi.org/10.1007/978-3-031-54277-0
ISBN:	9783031542770$q(electronic bk.)

Data-driven innovation for intelligent technologyperspectives and applications in ICT /
Data-driven innovation for intelligent technologyperspectives and applications in ICT /[electronic resource] :edited by Hiram Ponce ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xii, 246 p. :ill. (some col.), digital ;24 cm. - Studies in big data,v. 1482197-6511 ;. - Studies in big data ;v.1..

Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future.

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.

ISBN: 9783031542770$q(electronic bk.)

Standard No.: 10.1007/978-3-031-54277-0doiSubjects--Topical Terms:

184332
Technological innovations.

LC Class. No.: T173.8

Dewey Class. No.: 600

Data-driven innovation for intelligent technologyperspectives and applications in ICT /
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520 $a 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.
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