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001476200 001__ 1476200
001476200 003__ OCoLC
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001476200 020__ $$a9783031357831
001476200 020__ $$a3031357833
001476200 020__ $$z9783031357824
001476200 0247_ $$a10.1007/978-3-031-35783-1$$2doi
001476200 035__ $$aSP(OCoLC)1395180338
001476200 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP
001476200 049__ $$aISEA
001476200 050_4 $$aTK5105.8857
001476200 08204 $$a004.67/8$$223/eng/20230829
001476200 24500 $$aIoT, big data and AI for improving quality of everyday life :$$bIoT, data science and artificial intelligence technologies /$$cPradeep Kumar Singh, Sławomir T. Wierzchoń, Wiesław Pawłowski, Arpan Kumar Kar, Yugal Kumar, editors.
001476200 260__ $$aCham :$$bSpringer International Publishing AG,$$c2023.
001476200 300__ $$a1 online resource (xi, 391 pages) :$$billustrations (chiefly color).
001476200 4901_ $$aStudies in Computational Intelligence Series ;$$vv.1104
001476200 500__ $$aDescription based upon print version of record.
001476200 5050_ $$aIntro -- Preface -- Contents -- IoT for Real World Solutions -- A Hybrid Compression Technique with Region of Interest for Medical Images in Wireless Sensor Networks -- 1 Introduction -- 2 Related Works -- 3 Proposed Framework -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Scope -- References -- Exploring IoT Applications in Industry 4.0-Insights from Review of Literature -- 1 Introduction -- 2 Research Methodology -- 2.1 Selection of Indexed Publications -- 2.2 Selected Papers -- 3 IoT in Industry -- 3.1 Smart Technologies -- 3.2 Smart Production -- 3.3 Smart Working
001476200 5058_ $$a3.4 Smart Supply Chain -- 4 Discussion -- 5 Conclusion -- References -- Clustering IoT Data Using Machine Learning Methods: A Survey -- 1 Introduction -- 1.1 Motivation -- 1.2 Contribution -- 1.3 Organization of Paper -- 2 Machine Learning Algorithms for IoT Data Cluster Analysis -- 2.1 Clustering Techniques -- 2.2 Research Questions -- 3 Related Works -- 4 Distance Measures -- 5 Performance Evaluation Measures -- 6 Applications -- 7 Research Challenges in Big Data Clustering -- 8 Conclusion -- References -- IoT Based Framework for Heart Disease Diagnose -- 1 Introduction
001476200 5058_ $$a1.1 Internet of Things -- 1.2 Big Data Analytics -- 1.3 Contribution -- 2 Related Works -- 3 Proposed Model for Heart Disease Diagnosis -- 4 Results and Discussion -- 5 Conclusion -- References -- Performance Evaluation of Internet of Medical Things (IoMT) in Digital Health -- 1 Introduction -- 2 Working of IoMT -- 3 IoMT with Wireless Technologies -- 3.1 Digital Healthcare -- 4 IoMT Based Applications -- 5 Conclusion -- References -- Big Data and Cloud Computing for Innovative Solutions for Day to Day Lives
001476200 5058_ $$aTowards the Improvement of Personalized Music Recommendation System Using Deep Learning Techniques -- 1 Introduction -- 1.1 Motivation -- 1.2 Contribution -- 2 Related Work -- 3 Proposed Personalized Music Recommendation System (PMRS) -- 3.1 Audio Data Preprocessing -- 3.2 Spectrogram Classification -- 3.3 Lyric Emotion Classification -- 3.4 User Preferences -- 3.5 Music Recommendation Module -- 4 Results and Discussion -- 4.1 Training -- 4.2 Results and Discussion -- 5 Conclusion -- References
001476200 5058_ $$aImpact of Corporate Social Responsibility Orientation of CEOs on Online Reputation-Insights from Text Mining -- 1 Introduction -- 2 Literature Review -- 3 Theoretical Framework -- 3.1 Economic -- 3.2 Legal -- 3.3 Ethical -- 3.4 Discretionary -- 4 Methodology -- 4.1 Sample and Data Collection -- 4.2 Data Analysis -- 4.3 Dependent Variables -- 4.4 Independent Variables -- 5 Results -- 6 Discussion -- 6.1 Theoretical Contributions -- 6.2 Implications for Practice -- 6.3 Limitations and Future Research Directions -- 7 Conclusion -- References -- Role of UAVs in Delivering the Patient Samples from One Hospital to Different Hospital
001476200 506__ $$aAccess limited to authorized users.
001476200 520__ $$aThis book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.
001476200 650_0 $$aInternet of things.
001476200 650_0 $$aBig data.
001476200 650_0 $$aArtificial intelligence.
001476200 655_0 $$aElectronic books.
001476200 7001_ $$aSingh, Pradeep Kumar.
001476200 7001_ $$aWierzchoń, Sławomir T.
001476200 7001_ $$aPawłowski, Wiesław.
001476200 7001_ $$aKar, Arpan Kumar.
001476200 7001_ $$aKumar, Yugal.
001476200 77608 $$iPrint version:$$aSingh, Pradeep Kumar$$tIoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges$$dCham : Springer International Publishing AG,c2023$$z9783031357824
001476200 830_0 $$aStudies in computational intelligence ;$$vv. 1104.
001476200 852__ $$bebk
001476200 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-35783-1$$zOnline Access$$91397441.1
001476200 909CO $$ooai:library.usi.edu:1476200$$pGLOBAL_SET
001476200 980__ $$aBIB
001476200 980__ $$aEBOOK
001476200 982__ $$aEbook
001476200 983__ $$aOnline
001476200 994__ $$a92$$bISE