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IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

IOT, Data Science and Artificial Intelligence Technologies

  • Book
  • © 2023

Overview

Editors:
  1. Pradeep Kumar Singh

    1. Department of Computer Engineering, NMIMS Deemed to be University, STME, Chandigarh, India

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  2. Sławomir T. Wierzchoń

    1. Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland

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  3. Wiesław Pawłowski

    1. Faculty of Mathematics, Physics and Informatics, University of Gdańsk, Gdańsk, Poland

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  4. Arpan Kumar Kar

    1. DMS, Indian Institute of Technology, Hauz Khas, India

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  5. Yugal Kumar

    1. Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India

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  • Presents the latest advances and developments in field of IoT, Big Data, and AI
  • Explores the challenges faced by recent information systems from different dimensions
  • Covers surveys, architectures, frameworks, models, algorithms, and intelligent solutions for information systems

Part of the book series: Studies in Computational Intelligence (SCI, volume 1104)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xi
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  2. IoT for Real World Solutions

    1. Front Matter

      Pages 1-1
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    2. A Hybrid Compression Technique with Region of Interest for Medical Images in Wireless Sensor Networks

      • Pinki, Pardeep Kumar
      Pages 3-13

    3. Exploring IoT Applications in Industry 4.0—Insights from Review of Literature

      • Soureesh De, Arpan Kumar Kar
      Pages 15-38

    4. Clustering IoT Data Using Machine Learning Methods: A Survey

      • Arvinder Kaur, Yugal Kumar, Pradeep Kumar Singh
      Pages 39-57

    5. IoT Based Framework for Heart Disease Diagnose

      • Arvinder Kaur, Yugal Kumar, Pradeep Kumar Singh
      Pages 59-73

    6. Performance Evaluation of Internet of Medical Things (IoMT) in Digital Health

      • Amit Sharma, Pradeep Kumar Singh, Polina Nikashina, Vadim Gavrilenko, Alexey Tselykh, Alexander Bozhenyuk
      Pages 75-88

  3. Big Data and Cloud Computing for Innovative Solutions for Day to Day Lives

    1. Front Matter

      Pages 89-89
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    2. Towards the Improvement of Personalized Music Recommendation System Using Deep Learning Techniques

      • Ashima Kukkar, Amit Sharma, Pradeep Kumar Singh, Yugal Kumar
      Pages 91-116

    3. Impact of Corporate Social Responsibility Orientation of CEOs on Online Reputation-Insights from Text Mining

      • Shivani Thakur, Arpan Kumar Kar, Nidhi Sharma
      Pages 117-138

    4. Role of UAVs in Delivering the Patient Samples from One Hospital to Different Hospital

      • Amit Sharma, Pradeep Kumar Singh, Polina Nikashina, Vadim Gavrilenko, Alexey Tselykh, Alexander Bozhenyuk
      Pages 139-152

    5. An Analysis Study of Security Threats, Vulnerabilities Challenges of Cyber-Physical Systems

      • Javaid Ahmad Wani, Samayveer Sing, Aruna Malik, Pradeep Kumar Singh
      Pages 153-169

    6. A Study on the Interconnections of Health, Well, and Education in Smart Cities: A Socio-Analysis

      • Megha Chauhan, Kiran Sanjay Degan
      Pages 171-182

    7. Dynamic and Optimized Collaborative System for Routes—A Case of Study in Home Healthcare

      • Tânia Silva, Filipe Alves, Filipe Pacheco, Sara Paiva, Ana I. Pereira
      Pages 183-197

    8. Applications of Big Data and Cloud Computing in Business and Management: A Systematic Literature Review

      • Manikant Roy, Sudipta Paul, Zaid Bin Ahsan, Arpan Kumar Kar, P. Vigneswara Ilavarasan, Agam Gupta
      Pages 199-216

  4. Artificial Intelligence for Everyday Lives

    1. Front Matter

      Pages 217-217
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    2. Predicting Students Final Academic Performance Using Deep Learning Techniques

      • Ashima Kukkar, Amit Sharma, Pradeep Kumar Singh, Yugal Kumar
      Pages 219-241

    3. A Study of eXplainable Artificial Intelligence: A Systematic Literature Review of the Applications

      • Sunil Kumar, Shagun Sarraf, Arpan Kumar Kar, P. Vigneswara Ilavarasan
      Pages 243-259

    4. A Deep Learning Based Hybrid Approach for Short-Term Forecasting of Spread of COVID-19

      • Amann Anand, Aman Joshi, Nishant Sagar Pandey, Raghvendra Singh, Vinay Anand Tikkiwal, Arpan Kumar Kar
      Pages 261-278

    5. Smart Prediction System for Heart Diseases Using Machine Learning Algorithms

      • Hiteshwar Singh, Tushar Gupta, Harshita Sharma, Jagpreet Sidhu
      Pages 279-295
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Keywords

About this book

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.



Editors and Affiliations

  • Department of Computer Engineering, NMIMS Deemed to be University, STME, Chandigarh, India

    Pradeep Kumar Singh

  • Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland

    Sławomir T. Wierzchoń

  • Faculty of Mathematics, Physics and Informatics, University of Gdańsk, Gdańsk, Poland

    Wiesław Pawłowski

  • DMS, Indian Institute of Technology, Hauz Khas, India

    Arpan Kumar Kar

  • Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India

    Yugal Kumar

Bibliographic Information

  • Book Title: IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

  • Book Subtitle: IOT, Data Science and Artificial Intelligence Technologies

  • Editors: Pradeep Kumar Singh, Sławomir T. Wierzchoń, Wiesław Pawłowski, Arpan Kumar Kar, Yugal Kumar

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-35783-1

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-35782-4Published: 24 August 2023

  • Softcover ISBN: 978-3-031-35785-5Due: 24 September 2023

  • eBook ISBN: 978-3-031-35783-1Published: 23 August 2023

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XI, 391

  • Number of Illustrations: 22 b/w illustrations, 106 illustrations in colour

  • Topics: Data Engineering, Cyber-physical systems, IoT, Big Data, Computational Intelligence

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