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  • Conference proceedings
  • © 2021

Intelligent Systems

Proceedings of ICMIB 2020

  • Presents recent research in the field of machine learning and big data
  • Discusses the outcomes of ICMIB 2020, held in Sarang, India
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 185)

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xxxi
  2. An Approach for Heart Disease Prediction Using Machine Learning

    • Subasish Mohapatra, Jijnasee Dash, Subhadarshini Mohanty, Arunima Hota
    Pages 1-12
  3. Global Path Optimization of Humanoid NAO in Static Environment Using Prim’s Algorithm

    • Manoj Kumar Muni, Dayal R. Parhi, Priyadarshi Biplab Kumar, Chinmaya Sahu, Prasant Ranjan Dhal, Saroj Kumar
    Pages 25-34
  4. Weather Prediction Using Hybrid Soft Computing Models

    • Suvendra Kumar Jayasingh, Jibendu Kumar Mantri, Sipali Pradhan
    Pages 35-47
  5. FindMoviez: A Movie Recommendation System

    • Ashis Kumar Padhi, Ayog Mohanty, Sipra Sahoo
    Pages 49-57
  6. Active Filter with 2-Fuzzy Intelligent Controller: A Solution to Power Quality Problem

    • Veeravelli Lakshmi Prasana, Pratap Sekhar Puhan, Satyabrata Sahoo
    Pages 59-71
  7. Analysis of Covid Confirmed and Death Cases Using Different ML Algorithms

    • G. Naga Satish, Ch. V. Raghavendran, R. S. Murali Nath
    Pages 73-80
  8. Sediment Rating Curve and Sediment Concentration Estimation for Mahanadi River

    • Pratik Acharya, Tushar Kumar Nath, Ram Babu Nimma
    Pages 95-104
  9. An Energy-Efficient Routing with Particle Swarm Optimization and Aggregate Data for IOT-Enabled Software-Defined Networks

    • Krishnasamy Lalitha, Chinnasamy Poongodi, Shanmugam Anitha, Duraisamy Vijay Anand
    Pages 105-114
  10. Multi-agent System of Autonomous Underwater Vehicles in Octagon Formation

    • Madhusmita Panda, Bikramaditya Das
    Pages 125-138
  11. Fuzzy Q-Reinforcement Learning-Based Energy Optimization in IoT Network

    • Manoj Kumar, Pankaj Kumar Kashyap, Sushil Kumar
    Pages 139-153
  12. Plant Disease Recognition from Leaf Images Using Convolutional Neural Network

    • S. Preethi, A. Arun Prakash, R. Thangarajan
    Pages 169-176
  13. Optimum Design of Profile Modified Spur Gear Using PSO

    • Jawaz Alam, Srusti Priyadarshini, Sumanta Panda, Padmanav Dash
    Pages 177-187
  14. Benchmark of Unsupervised Machine Learning Algorithms for Condition Monitoring

    • Krishna Chandra Patra, Rabi Narayan Sethi, Dhiren Kumar Behera
    Pages 189-200

About this book

This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2020) held at Indira Gandhi Institute of Technology, Sarang, India, during September 2020. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.

Editors and Affiliations

  • School of computer and Information Sciences, University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  • IGIT Sarang, Dhenkanal, India

    Srinivas Sethi

  • Institute of Computer Science, University of Tartu, Tartu, Estonia

    Satish N. Srirama

About the editors

Prof. Siba Kumar Udgata is Professor in Computer and Information Sciences at the University of Hyderabad, India. He has a Ph.D. in Computer Science in the area of mobile computing and wireless communications and worked as United Nations Fellow at UNU/IIST, Macau. His research focus is on wireless communication, mobile computing, intelligent sensors, sensor network algorithms, Internet of Things, and applications. He was Volume Editor and author for several Springer LNAI and AISC International Conference proceedings, books and also Associate Editor and an editorial board member of IOS Press KES Journal and Elsevier AKCE International Journal of Graphs and Combinatorics. Prof. Udgata has published more than 100 research papers in reputed international journals and conference proceedings. He has worked as Principal Investigator in many Government of India funded research projects mainly for the development of wireless sensor network applications, network security related applications and application of swarm intelligence techniques in the cognitive radio network domain. 


Dr. Srinivas Sethi is Associate Professor and has been actively involved in teaching and research in Computer Science since 1997. He did his Ph.D., in the area of Routing Algorithm in Mobile Ad hoc Network and is also continuing his work in the Wireless Sensor Network, Cognitive Radio Network and Cloud Computing. He is the member of editorial board for different journals and a program committee member for different international conferences/ workshop. Now, he is working as Faculty in the Department of Computer Science Engineering and Application at Indira Gandhi Institute of Technology Sarang, India, and has published more than 50 research papers in international journals and conference proceedings. He completed 3 research projects funded by different funding agencies such as DST, AICTE and DRDO. Now, he is continuing with other 3 projects funded by agency such as AICTE and NPIU. 


Dr. Satish Narayana Srirama was a Research Professor and Head of the Mobile & Cloud Lab at the Institute of Computer Science, University of Tartu, Estonia, and a Visiting Professor at the University of Hyderabad, India. Presently he is at School of Computer and Information Sciences, University of Hyderabad, India. He received his Ph.D. in Computer Science from RWTH Aachen University, Germany. His current research focuses on cloud computing, mobile web services, mobile cloud, Internet of Things, fog computing, migrating scientific computing and enterprise applications to the cloud and large-scale data analytics on the cloud. He is an IEEE senior member and Editor of 50-year-old Wiley Software:Practice and Experience and was Associate Editor of IEEE Transactions in Cloud Computing and a program committee member of several international conferences and workshops. Dr. Srirama has co-authored over 150 refereed scientific publications in international conferences and journals. Dr. Srirama has successfully managed several national, international and enterprise collaborative research grants and projects.

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access