Proceedings of International Conference on Machine Intelligence and Data Science Applications

1. Front Matter

   Pages i-xv

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2. Probabilistic Machine Learning Using Social Network Analysis

   • A. Rohini, T. Sudalai Muthu, Tanupriya Choudhury

   Pages 1-12

3. Prioritization of Disaster Recovery Aspects Implementing DEMATEL Technique

   • Rana Majumdar, Tanupriya Choudhury, Ravi Tomar, Rachna Jain

   Pages 13-25

4. A Study on Machine Learning-Based Predictive Modelling for Pick Profiling at Distribution Centers

   • Aswin Ramachandran Nair, Aarti Laddha, Andreas Munson, Anil Sebastian

   Pages 27-34

5. Analysis of Computational Intelligence Techniques in Smart Cities

   • Ayesha Shakeel, Ved Prakash Mishra, Vinod Kumar Shukla, Kamta Nath Mishra

   Pages 35-53

6. Proposed End-to-End Automated E-Voting Through Blockchain Technology to Increase Voter’s Turnout

   • Ashish Singh Parihar, Devendra Prasad, Aishwarya Singh Gautam, Swarnendu Kumar Chakraborty

   Pages 55-71

7. Future of Data Generated by Interactive Media

   • Divyansh Kumar, Neetu Narayan

   Pages 73-81

8. Efficient Load Optimization Method Using VM Migration in Cloud Environment

   • Sarita Negi, Man Mohan Singh Rauthan, Kunwar Singh Vaisla, Neelam Panwar

   Pages 83-97

9. Analysis of Search Space in the Domain of Swarm Intelligence

   • Vaishali P. Patel, Manoj Kumar Rawat, Amit S. Patel

   Pages 99-109

10. Smart Cane 1.0 IoT-Based Walking Stick

    • Azim Uddin Ansari, Anjul Gautam, Amit Kumar, Ayush Agarwal, Ruchi Goel

    Pages 111-116

11. Web Crawler for Ranking of Websites Based on Web Traffic and Page Views

    • Nishchay Agrawal, Suman Pant

    Pages 117-127

12. Semantic Enrichment for Non-factoid Question Answering

    • Manvi Breja, Sanjay Kumar Jain

    Pages 129-138

13. Genre-Based Recommendation on Community Cloud Using Apriori Algorithm

    • Manvi Breja, Monika Yadav

    Pages 139-151

14. AntVMp: An Approach for Energy-Efficient Placement of Virtual Machines Using Max–Min Ant System

    • Varun Barthwal, Man Mohan Singh Rauthan, Rohan Varma

    Pages 153-161

15. CPU Performance Prediction Using Various Regression Algorithms

    • Abdullah Al Sefat, G. M. Rasiqul Islam Rasiq, Nafiul Nawjis, S. K. Tanzir Mehedi

    Pages 163-171

16. IBM Watson: Redefining Artificial Intelligence Through Cognitive Computing

    • Fatima Farid Petiwala, Vinod Kumar Shukla, Sonali Vyas

    Pages 173-185

17. An Improved Multi-objective Water Cycle Algorithm to Modify Inconsistent Matrix in Analytic Hierarchy Process

    • Hemant Petwal, Rinkle Rani

    Pages 187-197

18. Comparative Approach of Response Surface Methodology and Particle Swarm Optimization-Artificial Neural Network (PSO-ANN) in Rehydration Ratio Optimization for Bael (Aegle marmelos (L) Correa) Powder Production

    • Tanmay Sarkar, Molla Salauddin, Sudipta Kumar Hazra, Runu Chakraborty

    Pages 199-211

19. Load Balancing with the Help of Round Robin and Shortest Job First Scheduling Algorithm in Cloud Computing

    • Shubham Kumar, Ankur Dumka

    Pages 213-223

20. Downlink Performance Improvement Using Base Station Cooperation for Multicell Cellular Networks

    • Sandeep Srivastava, Pramod Kumar Srivastava, Tanupriya Choudhury, Ashok Kumar Yadav, Ravi Tomar

    Pages 225-240

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

• Machine Intelligence
• Artificial Intelligence
• Cognitive Intelligence
• Applications of AI/ML
• Big Data Analytics
• MIDAS 2020
• MIDAS Proceedings

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

  Manish Prateek

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

  T. P. Singh, Tanupriya Choudhury

• Edge Hill University, Ormskirk, UK

  Hari Mohan Pandey

• Duy Tan University, Da Nang, Vietnam

  Nguyen Gia Nhu

Prof. Dr. Manish Prateek received his bachelor’s and master’s degree from Southwest State University, Kursk, Russia, and in master’s degree his area of specialization was in microprocessor designing. He has received his Ph.D. degree in the year 2007 in the field of manufacturing and robotics. He has more than 10 years of experience with IT industry and 14 years of experience in teaching. Currently, he is working as Professor and Dean, School of CS at UPES Dehradun. He has also been Wing Founder of domain-specific programme at UG level with industry collaboration with IBM, Xebia, Oracle, etc. He has so far guided 7 Ph.D. scholars with 53 publications in international journals and conferences throughout India and abroad. He is Founder President of Next Generation Computing Technologies (NGCT). He is holding life membership of ISTE, and a member of CSI, and he is also Executive Vice President at Pentagram Research Centre Pvt. Ltd. He is also the recipient of lifetime achievement award for his contribution to research and academics by the board of directors of pentagram research centre in the year 2010 and also he is holding the Fellow of Institution of Engineers since 2020.


Dr. T. P. Singh is currently positioned as Professor and HoD of Informatics Department, under  School of Computer Science, University of Petroleum & Energy Studies, Dehradun, UK. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 22 years of rich experience with him. He has been associated with Tata Group and Sharda University, Greater Noida, NCR, India. His research interests include machine intelligence, pattern recognition and development of hybrid intelligent systems. He has guided 15 Masters Theses. Currently, 05 research scholars are working towards their doctoral degree under him. There are more than dozens of publications to his credit in various national and international journals. Dr. Singh is a member of various professional bodies including IEEE, ISTE, IAENG, etc., and also on the editorial/reviewer panel of different journals.


Dr. Tanupriya Choudhury received his bachelor’s degree in CSE from West Bengal University of Technology, Kolkata, India, and master’s degree in CSE from Dr. M.G.R University, Chennai, India. He has received his Ph.D. degree in the year 2016. He has nine years of experience in teaching. Currently, he is working as Associate Professor in Informatics Department, under School of Computer Science at UPES Dehradun. Recently, he has received Global Outreach Education Award for Excellence in best Young researcher Award in GOECA 2018. His areas of interests include human computing, soft computing, cloud computing, data mining, etc. He has filed 14 patents till date and received 16 copyrights from MHRD for his own software. He has been associated with many conferences in India and abroad. He has authored more than 85 research papers till date.He has delivered invited talk and guest lecture in Jamia Millia Islamia University, Maharaja Agrasen College of Delhi University, Duy Tan University Vietnam, etc.  He has been associated with many conferences throughout India as a TPC member and Session Chair. He is a lifetime member of IETA, a member of IEEE and a member of IET(UK) and other renowned technical societies. He is associated with Corporate, and he is Technical Adviser of DeetyaSoft Pvt. Ltd. Noida, IVRGURU and Mydigital360.

Dr. Hari Mohan Pandey is Sr. Lecturer in the Department of Computer Science at Edge Hill University, UK. He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition and machine learning algorithms. He is Author of various books in computer science engineering and published over 50 scientific papers in reputed journals and conferences, served as Session Chair and Leading Guest Editor and delivered keynotes. He has been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, award for completing INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher education. Previously, he worked as Research Fellow of machine learning at Middlesex University, London. He worked on a European Commission project—DREAM4CAR under H2020. He is Associate Fellow of Higher Education Academy (UK Professional Standard Framework) and has rich experience of teaching at higher education level.


Dr. Nguyen Gia Nhu received the Ph.D. degree in Mathematical for Computer Science from Ha Noi University of Science, Vietnam National University, Vietnam. Currently, he is Dean of Graduate School, Duy Tan University, Vietnam. He has a total academic teaching experience of 19 years with more than60 publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, ACM DL, DBLP). His area of research includes healthcare informatics, network performance analysis and simulation, and computational intelligence. Recently, he has been in the Technical programme committee and review committee and Track Chair for international conferences: FICTA 2014, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, IC3T 2016, IUKM 2016, INDIA 2017, FICTA 2017, FICTA 2018, INISCOM 2018, INISCOM 2019 under Springer-ASIC/LNAI Series.  6 Computer Science books published in Springer, IGI Global, CRC and Wiley Publication. Presently, he is Associate Editor of the IGI Global: International Journal of Synthetic Emotions (IJSE).

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