001469342 000__ 05242nam\\2200613Mu\4500 001469342 001__ 1469342 001469342 003__ NhCcYBP 001469342 005__ 20230802011200.0 001469342 006__ m\\\\\o\\d\\\\\\\\ 001469342 007__ cr\cn\nnnunnun 001469342 008__ 230422s2023\\\\xx\\\\\\o\\\\\|||\0\eng\d 001469342 020__ $$a9781000879070 001469342 020__ $$a1000879070 001469342 040__ $$aNhCcYBP$$cNhCcYBP 001469342 050_4 $$aT59.6$$b.I584 2023 001469342 08204 $$a658.403028563 001469342 1001_ $$aPandey, Avinash Chandra. 001469342 24510 $$aIntelligent Analytics for Industry 4.0 Applications. 001469342 260__ $$aMilton :$$bTaylor & Francis Group,$$c2023. 001469342 300__ $$a1 online resource (313 pages) 001469342 336__ $$atext$$btxt$$2rdacontent 001469342 337__ $$acomputer$$bc$$2rdamedia 001469342 338__ $$aonline resource$$bcr$$2rdacarrier 001469342 500__ $$aChapter 7 Intelligent Analytics in Big Data and Cloud: Big Data 001469342 504__ $$aReferences -- Chapter 4 Advance in Robotics Industry 4.0 -- 4.1 Introduction -- 4.2 Overview of Industry 4.0 -- 4.3 Opportunities of Industry 4.0 -- 4.4 Challenges in Industrial Robotics 4.0 -- 4.5 Properties of Robotics Industry 4.0 -- 4.6 Conclusion -- References -- Chapter 5 A Cloud-Based Real-Time Healthcare Monitoring System for CVD Patients -- 5.1 Introduction -- 5.2 Related Works -- 5.3 Preliminary Work -- 5.4 Methodology -- 5.4.1 Data Acquisition -- 5.4.2 Data Preprocessing -- 5.4.3 ML Models -- 5.5 Performance Analysis -- 5.6 Application -- 5.7 Conclusion -- References 001469342 5050_ $$aCover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Analytics Approach for Intelligent Cyber-Physical System Integration in Industrial Internet of Things (Industry 4.0) -- 1.1 Introduction -- 1.1.1 Cyber-Physical System (CPS) -- 1.1.2 Industrial Internet of Things (IIoT)/Industry 4.0 -- 1.1.2.1 Advantages of Industry 4.0 Technology -- 1.1.2.2 Challenges of Industry 4.0 -- 1.1.3 Research Motivation -- 1.2 Intelligent Cyber-Physical System Design Consideration -- 1.2.1 Fault Tolerance and Reliability 001469342 5058_ $$a1.2.2 Scalability æ (S) -- 1.2.3 Hardware System Design -- 1.2.4 Network Topology -- 1.2.5 Data Model Design -- 1.2.6 Operating Environment -- 1.2.7 Communication and Transmission Technology -- 1.2.8 Energy Consumption -- 1.2.9 Routing Protocols -- 1.2.10 Security Challenges -- 1.3 The Industrial Internet of Things Architecture Design and Industry 4.0 -- 1.4 The Communication Model of ICPS in Industry 4.0 -- 1.5 Simulation Results of Cyber-Physical Communication Model in IIoT Environment -- 1.6 Conclusion -- References -- Chapter 2 Digital Twins A State of the Art from Industry 4.0 Perspective 001469342 5058_ $$a2.1 Introduction -- 2.2 Recent Studies on Digital Twin -- 2.3 Components of Digital Twin -- 2.4 Applications of Digital Twin -- 2.4.1 Smart Manufacturing -- 2.4.2 Supply Chain Management -- 2.4.3 Sustainability -- 2.4.4 Intelligent Risk Management -- 2.5 Challenges and Implementation Issues -- 2.6 Future Research Avenues -- 2.7 Conclusion -- References -- Chapter 3 Human-Centered Approach to Intelligent Analytics in Industry 4.0 -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Research Questions -- 3.4 Research Solutions -- 3.5 Discussion and Recommendations -- 3.6 Conclusion and Future Work 001469342 5058_ $$aChapter 6 Assessment of Fuzzy Logic Assessed Recommender System A Critical Critique -- 6.1 Introduction -- 6.2 Recommendation System Approaches -- 6.2.1 Collaborative Filtering Method -- 6.2.1.1 Cold-Start Problem -- 6.2.2 Content-Based Methods -- 6.3 Various Recommendation System Based on E-Commerce -- 6.3.1 Personalized Recommendation System of E-Commerce Based on Big Data Analysis -- 6.3.2 Hybrid Ontology-Dependent RS for E-Commerce -- 6.3.3 Trust-Dependent CF Algorithm for E-Commerce RS -- 6.3.4 Enhanced Slope One Algorithm -- 6.3.5 Similarity Measures -- 6.4 Conclusions -- References 001469342 506__ $$aAccess limited to authorized users 001469342 533__ $$aElectronic reproduction.$$bAnn Arbor, MI$$nAvailable via World Wide Web. 001469342 588__ $$aDescription based on print version record. 001469342 650_0 $$aIndustry 4.0. 001469342 650_0 $$aDecision making$$xData processing. 001469342 655_0 $$aElectronic books 001469342 7001_ $$aVerma, Abhishek. 001469342 7001_ $$aRathor, Vijaypal Singh. 001469342 7001_ $$aSingh, Munesh. 001469342 7001_ $$aSingh, Ashutosh Kumar. 001469342 7102_ $$aProQuest (Firm) 001469342 77608 $$iPrint version:$$aPandey, Avinash Chandra$$tIntelligent Analytics for Industry 4. 0 Applications$$dMilton : Taylor & Francis Group,c2023$$z9781032342412 001469342 852__ $$bebk 001469342 85640 $$3GOBI DDA$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=7237794$$zOnline Access 001469342 909CO $$ooai:library.usi.edu:1469342$$pGLOBAL_SET 001469342 980__ $$aBIB 001469342 980__ $$aEBOOK 001469342 982__ $$aEbook 001469342 983__ $$aOnline