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Transforming Management with AI, Big-Data, and IoT

  • Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management

  • Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels

  • Examines case studies with tried and tested approaches to resolution of typical problems in each application of study

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-86749-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-viii
  2. Artificial Intelligence for Smart Data Storage in Cloud-Based IoT

    • Pushpa Singh, Narendra Singh, P. Rama Luxmi, Ashish Saxena
    Pages 1-15
  3. Big Data Analytics and Big Data Processing for IOT-Based Sensing Devices

    • Pawan Kumar Pal, Charu Awasthi, Isha Sehgal, Prashant Kumar Mishra
    Pages 17-49
  4. Untangling E-Voting Platform for Secure and Enhanced Voting Using Blockchain Technology

    • Muskan Malhotra, Amit Kumar, Suresh Kumar, Vibhash Yadav
    Pages 51-72
  5. Role of Artificial Intelligence in Agriculture: A Comparative Study

    • Rijwan Khan, Niharika Dhingra, Neha Bhati
    Pages 73-83
  6. Big Data: Related Technologies and Applications

    • Geetika Munjal, Manoj Kumar
    Pages 85-98
  7. Digital Marketing: Transforming the Management Practices

    • Priyanka Malik, Madhu Khurana, Rohit Tanwar
    Pages 99-125
  8. Real-Time Parking Space Detection and Management with Artificial Intelligence and Deep Learning System

    • Shweta Shukla, Rishabh Gupta, Sarthik Garg, Samarpan Harit, Rijwan Khan
    Pages 127-139
  9. Credit Card Fraud Detection Techniques Under IoT Environment: A Survey

    • M. Kanchana, R. Naresh, N. Deepa, P. Pandiaraja, Thompson Stephan
    Pages 141-154
  10. Trustworthy Machine Learning for Cloud-Based Internet of Things (IoT)

    • Saumya Yadav, Rakesh Chandra Joshi, Divakar Yadav
    Pages 155-167
  11. A Novel αβEvolving Agent Architecture for Designing and Development of Agent-Based Software

    • Shashank Sahu, Rashi Agarwal, Rajesh Kumar Tyagi
    Pages 169-184
  12. Software-Defined Network (SDN) for Cloud-Based Internet of Things

    • Charu Awasthi, Isha Sehgal, Pawan Kumar Pal, Prashant Kumar Mishra
    Pages 185-213
  13. Malware Discernment Using Machine Learning

    • Vivek Srivastava, Rohit Sharma
    Pages 215-232
  14. Automating Index Estimation for Efficient Options Trading Using Artificial Intelligence

    • Vivek Shukla, Rohit Sharma, Raghuraj Singh
    Pages 233-246
  15. Technological Developments in Internet of Things Using Deep Learning

    • Rakesh Chandra Joshi, Saumya Yadav, Vibhash Yadav
    Pages 261-271
  16. Machine Learning Models for Sentiment Analysis of Tweets: Comparisons and Evaluations

    • Leeladhar Koti Reddy Vanga, Adarsh Kumar, Kamalpreet Kaur, Manmeet Singh, Vlado Stankovski, Sukhpal Singh Gill
    Pages 273-292
  17. Secure and Enhanced Crowdfunding Solution Using Blockchain Technology

    • Lakshit Madaan, Dikshita Jindal, Amit Kumar, Suresh Kumar, Mahaveer Singh Naruka
    Pages 293-310
  18. Back Matter

    Pages 311-317

About this book

This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments.

  • Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management;
  • Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels;
  • Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

Keywords

  • IoT, AI in Management
  • Artificial Intelligence in Management
  • Big Data Analytics in Management
  • Pattern Recognition in Management
  • Machine Learning in Management

Editors and Affiliations

  • Department of Artificial Intelligence Engineering, AI and Robotics Institute, Near East University, Mersin, Turkey

    Fadi Al-Turjman

  • Department of Computer Science and Engineering, G. L. Bajaj Institute of Technology and Management (GLBITM), Affiliated to AKTU, Greater Noida, India

    Satya Prakash Yadav

  • School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    Manoj Kumar

  • Department of Information Technology, Rajkiya Engineering College, Banda, India

    Vibhash Yadav

  • Department of Computer Science and Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, India

    Thompson Stephan

About the editors

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and a research center director at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks’ architectures, protocols, deployments, Multimedia analysis and performance evaluation. His publication history spans over 250 publications in journals, conferences, patents, books, and book chapters, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 25 books about cognition, security, and wireless sensor networks’ deployments in smart environments, published by Taylor and Francis, Elsevier, and Springer. He has received several recognitions and best papers’ awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top ResearcherAward for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as an associate editor and the lead guest/associate editorfor several well reputed journals, including the IEEE Communications Surveys and Tutorials (IF 22.9) and the Elsevier Sustainable Cities and Society (IF 4.7).

Dr. Satya Prakash Yadav is currently the Associate Professor of the Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management (GLBITM), Greater Noida (India). He has awarded his PhD degree entitled “Fusion of Medical Images in Wavelet Domain” to Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). A seasoned academician having more than 14 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published two patents and authored many research papers in web of science indexed journals. Additionally, he has presented research papers at many conferences in the areas of Image Processing, Information Retrieval, Features Extraction and Programming, such Digital Image Processing, Feature Extraction, Information Retrieval, C, Data Structure, C++, C# and Java. Also, he is a lead editor in CRC Press, Taylor and Francis Group Publisher (U.S.A), Tech Science Press (Computer Systems Science and Engineering), International Springer Publisher, Science Publishing Group, (U.S.A), and Eureka Journals, Pune (India). 

Dr. Manoj Kumar obtained his Ph.D. Computer Science from The Northcap University, Gurugram. He did his B. Tech in computer science from Kurukshetra University. He obtained M. Sc. (Information Security and Forensics) degree from ITB, Dublin in and M. Tech from ITM University. Mr. Kumar has 9.5+ years of experience in research and academics. He published over 29 publications in reputed journals and conferences. He published 2 books and 5 patents with his team. Presently, Mr. Kumar is working on the post of assistant professor (SG), (SoCS) in university of petroleum and energy studies, Dehradun. He is a member of various professional bodies and reviewed for many reputed journals. He is Editorial Board Member in The International Arab Journal of Information Technology (IAJIT), Jordon and Journal of Computer Science Research, Singapore. He is recognized asQuarterly Franklin Member (QFM) by London Journal Press from March 2019 onwards and Bentham Ambassador (India) on behalf of Bentham Science Publisher. He delivered various key speech and talks in national and international forums.

 

Dr. Vibhash Yadav: He is a B.Tech. (CSE) from C.S.J.M University, Kanpur, M.Techin  (C.S.E) from MaharshiDayanand University, Rohtak and Ph.D. in Computer Science and Engineering from Uttrakhand Technical University, Dehradun. He has about 10 years of experience in teaching. Currently, he is Associate Professor and Head in I.T Dept of Rajkiya Engineering College, Banda. He has guided 4 M.Techs and several B.E./B.Tech projects. He is the Member, Kanpur Chapter, CSI. He has more than 15 papers in National / International Conferences and Journals to his credit. Currently, 4 students are working for Ph.D. and 4 are pursuing M.Tech. under his guidance.

Dr. Thompson Stephan is currently holding the position of Assistant Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka, India. He received the Ph.D. degree in Computer Science and Engineering from Pondicherry University, India. He was awarded for his academic excellence in his master’s degree with a university rank. He received the Best Researcher Award-2020, IEEE Bangalore Section, India. His research interests focus on the implementations and practical applications of computational intelligence and machine learning techniques. He has authored many technical research papers published in leading journals and conferences from the IEEE, Elsevier, Springer, etc. He is an active reviewer in many international reputed journals. He is currently the editor of many books. He is currently a member of IEEE.

Bibliographic Information

  • Book Title: Transforming Management with AI, Big-Data, and IoT

  • Editors: Fadi Al-Turjman, Satya Prakash Yadav, Manoj Kumar, Vibhash Yadav, Thompson Stephan

  • DOI: https://doi.org/10.1007/978-3-030-86749-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-86748-5Published: 18 February 2022

  • Softcover ISBN: 978-3-030-86751-5Published: 19 February 2023

  • eBook ISBN: 978-3-030-86749-2Published: 17 February 2022

  • Edition Number: 1

  • Number of Pages: VIII, 317

  • Number of Illustrations: 42 b/w illustrations, 107 illustrations in colour

  • Topics: Cyber-Physical Systems, Artificial Intelligence, Industrial and Production Engineering, Communications Engineering, Networks

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-86749-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)