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Machine Intelligence and Data Science Applications

Proceedings of MIDAS 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Amar Ramdane-Cherif

    1. University of Versailles—Paris-Saclay, Vélizy, France

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  2. T. P. Singh

    1. School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India

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  3. Ravi Tomar

    1. Senior Architect, Persistent Systems, Pune, India

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  4. Tanupriya Choudhury

    1. CSE Department, Symbiosis Institute of Technology, Symbiosis International University, Pune, India

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  5. Jung-Sup Um

    1. Kyungpook National University, Daegu, Korea (Republic of)

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  • Presents research works in the field of machine intelligence and data science applications
  • Consists of results of MIDAS 2022 held University of Versailles—Paris-Saclay, France
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Algorithms for Intelligent Systems (AIS)

Included in the following conference series:

Conference proceedings info: MIDAS 2022.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Blockchain Supported Sustainable Supply Chain in Industry 4.0

    • Rahul Gupta
    Pages 1-13

  3. COVID-19 Cases in India: A Study on the Effect of Weather Factors and Building the Forecast Model

    • V. L. Helen Josephine, G. Meshach, Poorvi Prakash
    Pages 15-27

  4. A Review on Scheduling in Cloud Fog Computing Environments

    • M. Santhosh Kumar, Ganesh Reddy Karri
    Pages 29-45

  5. Simplifying Handwritten Medical Prescription: OCR Approach

    • Parminder Singh Sethi, Manish Gupta, Praveen Kumar, Gurleen Kaur
    Pages 47-52

  6. Profiling the IPL Players—Sports Analytics Through Clustering Algorithms

    • A. Mansurali, V. Harish, Sherin Hussain, Tanupriya Choudhury
    Pages 53-64

  7. Data Analytics in Operation Management

    • V. Harish, A. Mansurali, Tanupriya Choudhury
    Pages 65-78

  8. Image Retrieval Technique Using Visual Features in Content-Based Image Retrieval System

    • Surbhi Tyagi, Vivek Kumar, Sudeshna Chakraborty, Praveen Shukla
    Pages 79-89

  9. Intelligent Hybrid VLC/RF Communication Protocol for Train Data Transfer

    • Hongyu Guan, Zhuosha Guo, Amar Ramdane-Cherif, Abderraouf Khezaz, Manolo Dulva Hina, Luc Chassagne
    Pages 91-101

  10. Unmanned Aerial Vehicles Path Planning Based on an Enhanced Whale Optimization Algorithm

    • Amylia Ait Saadi, Assia Soukane, Yassine Meraihi, Asma Benmessaoud Gabis, Amar Ramdane-Cherif, Sylia Mekhmoukh Taleb
    Pages 103-117

  11. Reviewing Scope of Multimodal Approach in Face and Iris Recognition

    • Sonal, Ajit Singh, Chander Kant
    Pages 119-131

  12. Applications of Deep Reinforcement Learning for Drug Discovery

    • Parminder Singh Sethi, Gurleen Kaur, D. S. Vasanth, Malathi Ramakrishnan, Nithish Kote
    Pages 133-141

  13. Deep Learning-Based Framework for URL Phishing Detection

    • Meet Kava, Rajeev Kumar Gupta, Santosh Bharti, Abhijit Kumar
    Pages 143-160

  14. Machine Learning-Based Prototype Design for Rainfall Forecasting

    • Ashish Labade, Bhavana Gupta, Rajeev Kumar Gupta, Abhijit Kumar
    Pages 161-172

  15. BERT Based Language Identification in Code-Mixed English-Assamese Social Media Text

    • Nayan Jyoti Kalita, Pritam Deka, Vijay Chennareddy, Shikhar Kumar Sarma
    Pages 173-181

  16. Enhanced White Shark Optimization Algorithm for the Mesh Routers Placement Problem with Service Priority in Wireless Mesh Networks

    • Sylia Mekhmoukh Taleb, Yassine Meraihi, Amar Ramdane-Cherif, Asma Benmessaoud Gabis, Dalila Acheli
    Pages 183-196

  17. Wearable Technologies for Health: Investigating Behavioral Intention to Adopt Cloud-Based Smartwatch

    • Ashok Singh Malhi, Raj K. Kovid, Kanika
    Pages 197-214

  18. Comparison of ML Algorithms for Heart Disease Detection

    • Abhinav Kulshreshth, Mahima Yadav, Ganga Sharma
    Pages 215-226

  19. Subsurface Lithology Classification Using Well Log Data, an Application of Supervised Machine Learning

    • Atul Kumar Patidar, Sarthak Singh, Shubham Anand
    Pages 227-240

  20. Using Blockchain in Pharmaceutical Industry to Prevent Vaccine Counterfeiting

    • Sarishma Dangi, Utkarsh Garg, Diksha Bisht, Ravi Tomar
    Pages 241-259
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About this book

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.

Editors and Affiliations

  • University of Versailles—Paris-Saclay, Vélizy, France

    Amar Ramdane-Cherif

  • School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India

    T. P. Singh

  • Senior Architect, Persistent Systems, Pune, India

    Ravi Tomar

  • CSE Department, Symbiosis Institute of Technology, Symbiosis International University, Pune, India

    Tanupriya Choudhury

  • Kyungpook National University, Daegu, Korea (Republic of)

    Jung-Sup Um

About the editors

Prof. Amar Ramdane-Cherif received his Ph.D. degree from Pierre and Marie Curie University in Paris in 1998. In 2007, he obtained his HDR degree from Versailles University. From 2000 to 2007, he was an associate professor at the University of Versailles and worked in PRISM Laboratory. Since 2008, he is a full professor at the University of Versailles—Paris-Saclay, working in the LISV laboratory. His research interests include software ambient intelligence—semantic knowledge representation, modeling of the ambient environment, multimodal interaction between person, machine, and environment, fusion and fission of events, ambient assistance; and software architecture—software quality, quality evaluation methods, functional and non-functional measurement of real-time, and reactive and software-embedded systems. As of today, he has edited 2 books on computational intelligence and communications. He authored 10 book chapters, 50 international journals, and about 150 international conference papers. He also has supervised 20 doctoral Ph.D. theses and reviewed 30 Ph.D. theses. He managed several projects and has been doing several national and intentional collaborations. He is currently a member of the Council Board of the Graduate School of Computer Science of Paris-Saclay University.



T P Singh is currently positioned as Professor and Head of Department at the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 26 years of rich experience with him. One research scholar has completed her Ph.D. and currently, 06 others are working towards their Doctoral degree under him. Out of these 06, two scholars are being jointly supervised by French and UK universities. He has been a widely traveled academician and participated in various platforms across the countries UK, France, UAE, and Singapore. He has been the editor of 10 books on various allied topics of Computer Science. Dr. Singh is a senior member of IEEE and a member of various other professional bodies including IEI, ACM, EAI, ISTE, IAENG, etc., and also on the editorial/reviewer panel of different journals. He is a fellow of IETA-India since 2019. He is also on the board of studies of different Indian and abroad Universities. He has been associated with many conferences throughout India and abroad as Chair, Organizing Committee member, TPC member Session Chair, etc.



Ravi Tomar is working as Senior Architect at Persistent Systems, India. Dr. Tomar is an experienced academician with a history in the higher education industry for a decade. He is skilled in Computer Networking, Stream processing, Python, Oracle Database, C++, Core Java, J2EE, RPA, and CorDApp. His research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, Big data technologies,and VANET.  He has authored 100+ papers in different research areas, filled four Indian patents, edited 5 books, and has authored 4 books. He has delivered Training to corporates nationally and internationally on Confluent Apache Kafka, Stream Processing, RPA, CordaApp, J2EE, and IoT to clients like KeyBank, Accenture, Union Bank of Philippines, Ernst and Young, and Deloitte. Dr. Tomar is officially recognized as an Instructor for Confluent and CordApp. He has conducted various International conferences in India, France, and Nepal. He has been awarded a young researcher in Computer Science and Engineering by RedInno, India in 2018, Academic Excellence and Research Excellence Award by UPES in 2021, and Young Scientist Award by UCOST, Dehradun.



Dr. Tanupriya Choudhury is a highly accomplished individual with an impressive academic and professional background. He holds a bachelor’s degree in CSE from West Bengal University of Technology, Kolkata, India;a master’s Degree in CSE from Dr. MGR University, Chennai, India; and a Ph.D. degree which he received in 2016. In addition to his educational qualifications, Dr. Choudhury has fourteen years of experience teaching as well as conducting research related to Human computing, Soft computing Cloud Computing Data Mining, etc., making him an ideal candidate for the Senior Associate Professor position at UPES Dehradun's School CS Cluster of Informatics. Recently Dr. Tanupriya was honored with the Global Outreach Education Award for Excellence best young researcher award 2018 (GOECA). This prestigious award recognizes his contribution towards advancing knowledge within this field through various conferences held both domestically and internationally - resulting in over 250 published papers since then! Furthermore, he has also filed 25 patents to date along with receiving 26 copyrights from MHRD due to the development of his own software programs. His achievements speak volumes about his dedication to furthering technology-related research while inspiring others around him by demonstrating that hard work leads to success! He has been associated with many conferences throughout India as a TPC member and session chair etc. He is a lifetime member of IETA, a Senior member of IEEE, and a member of IET(UK) and other renowned technical societies. He is associated with Corporate and he is a Technical Advisor of Deetya Soft Pvt. Ltd. Noida, IVRGURU, Mydigital360, etc. He is holding the post of Honorary Secretary in IETA (Indian Engineering Teacher’s Association-India), He is also holding the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK, and International Association of Professional and Fellow Engineers-Delaware-USA.



Prof. Jung Sup Um is currently working as an editor-in-chief of Spatial Information Research (Springer Nature) since 2015 and shares his interests in the drone by maintaining strong links with international editorial boards, authors, and reviewer communities. He was awarded thirteen times Outstanding Research Award for significant and lasting research contributions. He is the author of a recent book on Drones as Cyber-Physical Systems, Concepts and Applications for the Fourth Industrial Revolution, co-author of seven books on Spatial Information, and author of more than 100 journal publications (including two patents registered). He is trying to promote the importance of drones as a core infrastructure of the 4th Industrial Revolution era while offering as an online lecture the contents of this book (course title: future industry and job selection). His current research work is on UAV remote sensing as a cyber-physical system, the use of satellite data (GOSAT, OCO-2) in UN-REDD MRV requirements, and synergistic application research that combines with various disciplines such as law, economics, political science, and environmental science. As aphotographer and remote sensing practitioner, he began to intensively occupy himself with drones by the revolutionary prospect of being able to take aerial photographs at any time or any place. Over time, with a great deal of enthusiasm for this technology, he published a book about drones (2019, Drones as Cyber-Physical Systems, Concepts and Applications for the Fourth Industrial Revolution, Springer Nature). He was a principal investigator in the various research projects that led to promoting geographic information to the general public. He was the program co-chair of the Organizing Committee of FOSS4G Seoul from 2013 to 2015. He was an associate editor and member of the editorial board of Spatial Information Research, from 1995 to 2015. His Ph.D. and master’s thesis focus on the validity evaluation and application of modern remote sensing techniques for a zero-carbon city. Furthermore, he has been in a university teaching position in Remote Sensing and GIS since 1999. He had worked as a Government Official in the Ministry of Environment in Korea, with a focus on the application of remote sensing and GIS. He was responsible for the initial introduction of remote sensing and image processing for the Ministry of Environment in Korea. He had developed extensive research and laboratory capabilities in the Ministry. His experience includes projects with related central governments in Korea, as well as private companies and research institutions. He has been frequently invited as a consultant for zero-carbon Geomatics planning, to local and central governments.

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