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010   $a3-031-54277-0
024 7 $a10.1007/978-3-031-54277-0
035   $a(MiAaPQ)EBC31282058
035   $a(Au-PeEL)EBL31282058
035   $a(CKB)31517311500041
035   $a(DE-He213)978-3-031-54277-0
035   $a(EXLCZ)9931517311500041
100   $a20240416d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData-Driven Innovation for Intelligent Technology $ePerspectives and Applications in ICT /$fedited by Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, Ernesto Moya-Albor
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (255 pages)
225 1 $aStudies in Big Data,$x2197-6511 ;$v148
311   $a3-031-54276-2 
327   $aContactless 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.
330   $aThis book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
410  0$aStudies in Big Data,$x2197-6511 ;$v148
606   $aEngineering$xData processing
606   $aComputational intelligence
606   $aBig data
606   $aArtificial intelligence
606   $aData Engineering
606   $aComputational Intelligence
606   $aBig Data
606   $aArtificial Intelligence
615  0$aEngineering$xData processing.
615  0$aComputational intelligence.
615  0$aBig data.
615  0$aArtificial intelligence.
615 14$aData Engineering.
615 24$aComputational Intelligence.
615 24$aBig Data.
615 24$aArtificial Intelligence.
676   $a620.00285
700   $aPonce$b Hiram$01438319
701   $aBrieva$b Jorge$01769715
701   $aLozada-Flores$b Octavio$01769716
701   $aMartínez-Villaseñor$b Lourdes$01438318
701   $aMoya-Albor$b Ernesto$01769717
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910851990303321
996   $aData-Driven Innovation for Intelligent Technology$94241650
997   $aUNINA