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020 _a9783031542770
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024 7 _a10.1007/978-3-031-54277-0
_2doi
050 4 _aTA345-345.5
072 7 _aUN
_2bicssc
072 7 _aCOM018000
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072 7 _aUN
_2thema
245 1 0 _aData-Driven Innovation for Intelligent Technology
_h[electronic resource] :
_bPerspectives and Applications in ICT /
_cedited by Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, Ernesto Moya-Albor.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXII, 246 p. 68 illus., 59 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aStudies in Big Data,
_x2197-6511 ;
_v148
505 0 _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.
520 _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.
650 0 _aEngineering
_xData processing.
650 0 _aComputational intelligence.
_964052
650 0 _aBig data.
_957216
650 0 _aArtificial intelligence.
_958441
650 1 4 _aData Engineering.
_966059
650 2 4 _aComputational Intelligence.
_964052
650 2 4 _aBig Data.
_957216
650 2 4 _aArtificial Intelligence.
_958441
700 1 _aPonce, Hiram.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBrieva, Jorge.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aLozada-Flores, Octavio.
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700 1 _aMartínez-Villaseñor, Lourdes.
_eeditor.
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_1https://orcid.org/0000-0002-9038-7821
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMoya-Albor, Ernesto.
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_4http://id.loc.gov/vocabulary/relators/edt
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031542794
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v148
_968724
856 4 0 _uhttps://doi.org/10.1007/978-3-031-54277-0
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