03115nam 22006615 450 99656586320331620231116205926.0981-9979-69-210.1007/978-981-99-7969-1(MiAaPQ)EBC30951814(Au-PeEL)EBL30951814(DE-He213)978-981-99-7969-1(EXLCZ)992886349110004120231116d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Science and Artificial Intelligence[electronic resource] First International Conference, DSAI 2023, Bangkok, Thailand, November 27–29, 2023, Proceedings /edited by Chutiporn Anutariya, Marcello M. Bonsangue1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (368 pages)Communications in Computer and Information Science,1865-0937 ;1942Print version: Anutariya, Chutiporn Data Science and Artificial Intelligence Singapore : Springer,c2023 9789819979684 Foundations of Data Science and AI -- Data Mining and Machine Learning -- Deep Learning -- Image Analysis and Object Recognition -- Large Language Models -- Data Science and AI in Healthcare -- AI and Creativity -- Data Science and AI in Education. .This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.Communications in Computer and Information Science,1865-0937 ;1942Artificial intelligenceMachine learningArtificial intelligenceData processingComputer visionNatural language processing (Computer science)Artificial IntelligenceMachine LearningData ScienceComputer VisionNatural Language Processing (NLP)Artificial intelligence.Machine learning.Artificial intelligenceData processing.Computer vision.Natural language processing (Computer science).Artificial Intelligence.Machine Learning.Data Science.Computer Vision.Natural Language Processing (NLP).006.3Anutariya Chutiporn1448643Bonsangue Marcello M1448644MiAaPQMiAaPQMiAaPQBOOK996565863203316Data Science and Artificial Intelligence3644348UNISA05837nam 2200745 450 991081298270332120230912131336.01-118-95964-71-118-95963-91-118-98274-6(CKB)3710000000440572(EBL)1895813(SSID)ssj0001515481(PQKBManifestationID)12550790(PQKBTitleCode)TC0001515481(PQKBWorkID)11482102(PQKB)10510430(DLC) 2015009795(Au-PeEL)EBL4040181(CaPaEBR)ebr11113473(CaONFJC)MIL814349(OCoLC)904756101(CaSebORM)9781118954133(MiAaPQ)EBC4040181(MiAaPQ)EBC1895813(PPN)189259604(EXLCZ)99371000000044057220151105h20152015 uy 0engur|||||||||||txtccrModeling and visualization of complex systems and enterprises explorations of physical, human, economic, and social phenomena /William B. Rouse1st editionHoboken, New Jersey :Wiley Blackwell,2015.©20151 online resource (294 p.)Stevens Institute Series on Complex Systems and EnterprisesDescription based upon print version of record.1-118-95413-0 Includes bibliographical references at the end of each chapters and index.Cover; Title Page; Copyright; Contents; Preface; Chapter 1 Introduction and Overview; Systems Perspectives; Systems Movement; Philosophical Background; Seminal Concepts - Systems Science; Seminal Concepts - Economics/Cognition; Seminal Concepts - Operations Research; Seminal Concepts - Sociology; Complexity and Complex Systems; Complex Versus Complicated Systems; Systems Practice; Phenomena as the Starting Point; Overview of Book; Chapter 1: Introduction and Overview; Chapter 2: Overall Methodology; Chapter 3: Perspectives on Phenomena; Chapter 4: Physical Phenomena; Chapter 5: Human PhenomenaChapter 6: Economic Phenomena Chapter 7: Social Phenomena; Chapter 8: Visualization of Phenomena; Chapter 9: Computational Methods and Tools; Chapter 10: Perspectives on Problem Solving; References; Chapter 2 Overall Methodology; Introduction; Problem Archetypes; Deterring or Identifying Counterfeit Parts; Financial Systems and Bursting Bubbles; Human Responses and Urban Resilience; Traffic Control via Congestion Pricing; Impacts of Investments in Healthcare Delivery; Human Biology and Cancer; Comparison of Problems; Methodology; Summary; An Example; Supporting the Methodology; ConclusionsReferences Chapter 3 Perspectives on Phenomena; Introduction; Definitions; Historical Perspectives; Steam to Steamboats; Wind to Wings; Electricity to Electric Lights; Macro and Micro Physics; Probability and Utility; Contemporary Perspectives; Four Fundamental Forces; Computational Fluid Dynamics; Integrated Circuit Design; Supply Chain Management; Summary; Taxonomy of Phenomena; Behavioral and Social Systems; Problems versus Phenomena; Visualizing Phenomena; Conclusions; References; Chapter 4 Physical Phenomena; Introduction; Natural Phenomena; Example - Human BiologyExample - Urban Oceanography Designed Phenomena; Example - Vehicle Powertrain; Example - Manufacturing Processes; Deterring or Identifying Counterfeit Parts; Conclusions; References; Chapter 5 Human Phenomena; Descriptive Versus Prescriptive Approaches; Models of Human Behavior and Performance; Example - Manual Control; Example - Problem Solving; Example - Multitask Decision Making; Traffic Control Via Congestion Pricing; Mental Models; Team Mental Models; Performing Arts Teams; Fundamental Limits; Conclusions; References; Chapter 6 Economic Phenomena; Introduction; MicroeconomicsTheory of the Firm Theory of the Market; Example - Optimal Pricing; Example - Investing in People; Summary; Macroeconomics; Tax Rates, Interest Rates, and Inflation; Macroeconomic Models; Summary; Behavioral Economics; Prospect Theory; Risk Perception; Attribution Errors; Management Decision Making; Human Intuition; Intuition versus Analysis; Summary; Economics of Healthcare Delivery; Conclusions; References; Chapter 7 Social Phenomena; Introduction; Emergent versus Designed Organizational Phenomena; Direct versus Representative Political Phenomena; Modeling Complex Social SystemsExample - Earth as a SystemExplains multi-level models of enterprise systems and covers modeling methodology This book addresses the essential phenomena underlying the overall behaviors of complex systems and enterprises. Understanding these phenomena can enable improving these systems. These phenomena range from physical, behavioral, and organizational, to economic and social, all of which involve significant human components. Specific phenomena of interest and how they are represented depend on the questions of interest and the relevant domains or contexts. Modeling and Visualization of Complex SystemsStevens Institute Series on Complex Systems and EnterprisesSystem theoryMathematical modelsSystem analysisSystem theoryPhilosophySystem theoryMathematical models.System analysis.System theoryPhilosophy.003Rouse William B.491146MiAaPQMiAaPQMiAaPQBOOK9910812982703321Modeling and visualization of complex systems and enterprises4018567UNINA