Recent Trends and Advances in Artificial Intelligence and Internet of Things

  • Valentina E. Balas
  • Raghvendra Kumar
  • Rajshree Srivastava

Part of the Intelligent Systems Reference Library book series (ISRL, volume 172)

Table of contents

  1. Front Matter
    Pages i-xxxiv
  2. B. Mounika, Vaseem Ahmed Qureshi, Amgoth Srinivas
    Pages 1-11
  3. J. Dhillipan, N. Vijayalakshmi, S. Suriya
    Pages 13-22
  4. T. Jayanthi, N. Sai Akhila, G. Pravallika
    Pages 59-66
  5. Kamalraj Subramaniam, P. Shaniba Asmi, Nisheena V. Iqbal
    Pages 67-74
  6. Bhasker Dappuri, Malothu Amru, Allam Mahesh Venkatanaga
    Pages 85-95
  7. Mohammad Jabirulah, Amgoth Srinivas, Panduga Kavitha
    Pages 109-118
  8. Biroju Papachary, Allam Mahesh Venkatanaga, G. Kalpana
    Pages 119-124
  9. Malothu Amru, Mohammad Jabirullah, Asuri Chaitanya Krishna
    Pages 125-136
  10. Sk. Md. Afroz Hussain, T. Satya Narayana, Subramanyachari
    Pages 155-163
  11. Sireesha Pendem, G. P. Ramesh
    Pages 165-176
  12. U. Hari Priya, P. Jyothi, V. V. S. S. Phanipavan, K. Deepa, Anjana Jain
    Pages 177-186
  13. D. Saravanan, Dennis Joseph, S. Vaithyasubramanian
    Pages 207-215
  14. Ali Abdyasser Kadhum, Thaeer Mueen Sahib, Mohsın Mousa Mohammed Ali
    Pages 217-225
  15. Jammel Mona, Mohammad Dosh, Wafaa Kamel Al-Jibory
    Pages 227-231
  16. A. B. Sarada Pyngas, B. Ruchitha Chowdary, R. Kavitha
    Pages 233-239
  17. Rudra Bhanu Satpathy, G. P. Ramesh
    Pages 267-278
  18. Shivam Kolhe, Sonia Nagpal, Jesal Desai
    Pages 279-290
  19. Shahzadi Tayyaba, Salman Ayub Khan, Muhammad Waseem Ashraf, Valentina E. Balas
    Pages 343-388
  20. Bhaskar Mondal
    Pages 389-425
  21. Sayan Chatterjee, Mainak Biswas, Debasis Maji, Birendra Krishna Ghosh, Rajat Kumar Mandal
    Pages 427-453
  22. Shweta Paliwal, Vishal Bharti, Amit Kumar Mishra
    Pages 455-482
  23. Prabhsimar Kaur, Vishal Bharti
    Pages 483-517
  24. Anirudha Ghosh, Abu Sufian, Farhana Sultana, Amlan Chakrabarti, Debashis De
    Pages 519-567
  25. Rajshree Srivastava
    Pages 569-579

About this book


This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.


Machine Learning Big Data Applications and Case Studies Sensor Based Machine Learning Health Informatics Machine Learning Application Artificial Intelligence IOT Agriculture

Editors and affiliations

  • Valentina E. Balas
    • 1
  • Raghvendra Kumar
    • 2
  • Rajshree Srivastava
    • 3
  1. 1.Department of Automatics and Applied SoftwareAurel Vlaicu University of AradAradRomania
  2. 2.Department of Computer Science and EngineeringLNCT Group of CollegesJabalpurIndia
  3. 3.Department of Computer Science and EngineeringDIT UniversityDehradunIndia

Bibliographic information

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