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Data-driven innovation for intelligent technology = perspectives and applications in ICT /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data-driven innovation for intelligent technology/ edited by Hiram Ponce ... [et al.].
其他題名:	perspectives and applications in ICT /
其他作者:	Ponce, Hiram.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xii, 246 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Technological innovations. -
電子資源:	https://doi.org/10.1007/978-3-031-54277-0
ISBN:	9783031542770

Data-driven innovation for intelligent technology = perspectives 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. 148..

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

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

544774
Technological innovations.

LC Class. No.: T173.8

Dewey Class. No.: 600

Data-driven innovation for intelligent technology = perspectives and applications in ICT /
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