| Other author/creator | Singh, Pradeep Kumar, editor. |
| Other author/creator | WierzchoD, Sławomir T., editor. |
| Other author/creator | Pawłowski, Wiesław, editor. |
| Other author/creator | Kar, Arpan Kumar, editor. |
| Other author/creator | Kumar, Yugal, editor. |
| Series | Studies in computational intelligence series ; volume1104
Studies in computational intelligence ; v. 1104. ^A766031 |
| Contents |
Intro -- 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 |
| Contents |
3.4 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 |
| Contents |
1.1 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 |
| Contents |
Towards 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 |
| Contents |
Impact 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 |
| Abstract |
This 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. |
| Bibliography note | Includes bibliographical references. |
| Source of description | Description based on online resource; title from digital title page (viewed on October 16, 2023). |
| Issued in other form | Print version: Singh, Pradeep Kumar IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges Cham : Springer International Publishing AG,c2023 9783031357824 |
| ISBN | 3031357833 electronic book |
| ISBN | 9783031357831 (electronic bk.) |
| Standard identifier# |
10.1007/978-3-031-35783-1 |
