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Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning

BIM 2023

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Mohammad Shamsul Arefin

    1. Chittagong University of Engineering and Technology, Chittagong, Bangladesh

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  2. M. Shamim Kaiser

    1. Jahangirnagar University, Dhaka, Bangladesh

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  3. Touhid Bhuiyan

    1. Daffodil International University, Dhaka, Bangladesh

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  4. Nilanjan Dey

    1. Department of Computer Science and Engineering, Techno International New Town, Kolkata, India

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  5. Mufti Mahmud

    1. Nottingham Trent University, Nottingham, UK

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  • Gather the outcomes of BIM 2023, held in Dhaka, Bangladesh
  • Presents research works in the field of big data, IoT and machine learning
  • 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 867)

Included in the following conference series:

Conference proceedings info: BIM 2023.

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About this book

This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.


Keywords

Table of contents (69 papers)

  1. Front Matter

    Pages i-xl
    Download chapter PDF

  2. Informatics for Emerging Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Deep Learning Approach to Predict Cryptocurrency Price by Evaluating Sentiment and Stock Market Correlations

      • Miftahul Zannat Maliha, Ananya Subhra Trisha, Abu Mauze Tamzid Khan, Prasoon Das, Muhammad Iqbal Hossain, Rafeed Rahman
      Pages 3-17

    3. Dominance by Stability: A Framework for Top k Dominating Query on Incomplete Data

      • Faruk Hossen, K. M. Azharul Hasan
      Pages 19-32

    4. Phylogeny Reconstruction Using \(k-mer\) Derived Transition Features

      • Md. Sayeed Iftekhar Yousuf, Machbah Uddin, Mohammad Khairul Islam, Md. Rakib Hassan, Aysha Siddika Ratna, Farah Jahan
      Pages 33-47

    5. Developing an Interpretable Machine Learning Model for Divorce Prediction

      • Md. Shahriare Satu, Md. Mahmudul Hasan Riyad, Mohammad Abu Tareq Rony
      Pages 49-61

    6. Riot Perception and Safety Navigation of Autonomous Vehicles Using Deep Learning

      • Md. Mostafizur Rahman Komol, Md. Sabid Hasan, Md. Razon Hossain, Md. Eaysir Arafat, Mohammad Shamsul Arefin, Md. Mahfujur Rahman
      Pages 63-78

    7. An Explainable AI Enable Approach to Reveal Feature Influences on Social Media Customer Purchase Decisions

      • Md. Omar Faruk, Radiya Binte Reza, Sabbir Hossain Sourav, Mahmudul Hasan, Md. Fazle Rabbi, Md. Abu Marjan
      Pages 79-94

    8. Field Programmable Gate Array in DNA Computing

      • Fatema Akter, Tamanna Tabassum, Mohammed Nasir Uddin
      Pages 95-107

    9. XAI-Driven Model Explainability and Prediction of P2P Bank Loan Default Network

      • Md. Mahmudul Islam, Ashrafuzzaman Sohag, Mahmudul Hasan, Md. Kamrul Islam, Md. Nahid Sultan
      Pages 109-121

    10. Design Implication of a Compact-Sized, Low-Fidelity Rover for Tough Terrain Exploration

      • Mir Oliul Pasha Taj, Md. Rajibul Hassen
      Pages 123-138

    11. VioNet: An Enhanced Violence Detection Approach for Videos Using a Fusion Model of Vision Transformer with Bi-LSTM and 3D Convolutional Neural Networks

      • Md. Akil Raihan Iftee, Md. Mominur Rahman, Sunanda Das
      Pages 139-151

    12. Rank Your Summaries: Enhancing Bengali Text Summarization Via Ranking-Based Approach

      • G. M. Shahariar, Tonmoy Talukder, Rafin Alam Khan Sotez, Md. Tanvir Rouf Shawon
      Pages 153-167

    13. An Efficient Machine Learning Classification Model for Rainfall Prediction in Bangladesh

      • Md. Badiuzzaman Biplob, Md. Mokammel Haque
      Pages 169-180

    14. Study on the Analysis and Prediction of Drug Addiction Among University Students of Bangladesh Using Machine Learning

      • Md. Afzal Ismail, Ashraful Islam
      Pages 181-196

  3. Artificial Intelligence for Imaging Applications

    1. Front Matter

      Pages 197-197
      Download chapter PDF

    2. A Deep CNN-Based Approach for Revolutionizing Bengali Handwritten Numeral Recognition

      • Sudipta Progga Islam, Farjana Parvin
      Pages 199-210

    3. Performance Analysis of Multiple Deep Learning Models for Image Retrieval Problems

      • Swajan Golder, Rameswar Debnath
      Pages 211-224

    4. Advancing Lung Cancer Diagnosis Through Deep Learning and Grad-CAM-Based Visualization Techniques

      • Fariha Haque, Md. Abu Ismail Siddique, Md. Shojeb Hossain Shojol
      Pages 225-238

    5. A Novel Approach to Detect Stroke from 2D Images Using Deep Learning

      • Nezat Akter Chowdhury, Tanjim Mahmud, Anik Barua, Nanziba Basnin, Koushick Barua, Aseef Iqbal et al.
      Pages 239-253
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Other volumes

  1. Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning

Editors and Affiliations

  • Chittagong University of Engineering and Technology, Chittagong, Bangladesh

    Mohammad Shamsul Arefin

  • Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  • Daffodil International University, Dhaka, Bangladesh

    Touhid Bhuiyan

  • Department of Computer Science and Engineering, Techno International New Town, Kolkata, India

    Nilanjan Dey

  • Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

About the editors

Prof. Mohammad Shamsul Arefin received his Doctor of Engineering Degree in Information Engineering from Hiroshima University, Japan, with support of the scholarship of MEXT, Japan. His research includes data privacy and mining, big data management, IoT, machine learning, image information processing, IT for agriculture, education and environment and green computing. Prof. Arefin is the Chair of IEEE Computer Society Bangladesh Chapter. He is a senior member of IEEE, a member of ACM and a fellow of IEB and BCS.  Dr. Arefin has more than 150 referred publications in international journals, book series and conference proceedings. He delivered more than 40 keynote speeches/ invited talks. He also received a good number of research grants/funds from home and abroad.

Dr. M Shamim Kaiser is currently working as the director of the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He is also a professor at the IIT. He received his Bachelor's and Master's degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh, in 2002 and 2004, respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. His current research interests include data analytics, machine learning, wireless network and signal processing, cognitive radio network, big data and cyber security, and renewable energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is an associate editor of the IEEE Access Journal and guest editor of Brain Informatics Journal and Cognitive Computation Journal. 

Prof. Dr. Touhid Bhuiyan has received his Ph.D. from Queensland University of Technology, Australia. Currently, he is the head of the Department of Computer Science and Engineering, Daffodil International University, Bangladesh. He is a certified ethical hacker. He has received the Cyber Security: Cyber Risk and Resilience certificate from the University of Oxford. He is the recipient of the Australian Postgraduate Award (APA) and Deputy Vice-Chancellor’s Initiative Scholarship from QUT, Australia. He was the director of the Cyber Security Centre, Daffodil International University (DIU), Bangladesh. His research interests are in cyber security, intelligent recommendations, social network, trust management, big data analytics, e-Health, e-Learning, etc. He has more than 114 research publications in renowned national and international journals, books and conference proceedings. His research interest includes cyber security, artificial intelligence, online learning, database management and software engineering.

Dr. Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position as an Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position as a Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research(Springer Nature),Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier and Hybrid Computational Intelligence for Pattern Analysis and Understanding, Elseviser. He is an associate editor ofIET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier, etc. He has 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is a Fellow of IETE and Senior member of IEEE.

Dr. Mufti Mahmud is an associate professor of Cognitive Computing at the Department of Computer Science of Nottingham Trent University (NTU). He is a fellow of the Higher Education Academy, a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association of Computing Machinery (ACM), and a professional member of the British Computer Society (BCS). Dr. Mahmud has been listed among the top 2% cited scientists worldwide in computer science (2020) and has been the winner of the 2021 Vice-Chancellor’s Outstanding Research Award for Early Career Researchers.  Dr. Mahmud is a section editor (big data analytics) of the Cognitive Computation Journal, regional editor (Europe) of the Brain Informatics Journal and associate editor (neuroprosthetics) of the Frontiers in Neuroscience Journal.

Bibliographic Information

  • Book Title: Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning

  • Book Subtitle: BIM 2023

  • Editors: Mohammad Shamsul Arefin, M. Shamim Kaiser, Touhid Bhuiyan, Nilanjan Dey, Mufti Mahmud

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-981-99-8937-9

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-99-8936-2Published: 30 March 2024

  • eBook ISBN: 978-981-99-8937-9Published: 29 March 2024

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XL, 1142

  • Number of Illustrations: 121 b/w illustrations, 486 illustrations in colour

  • Topics: Cyber-physical systems, IoT, Professional Computing, Big Data, Artificial Intelligence

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