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Machine Intelligence and Emerging Technologies

First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Md. Shahriare Satu

    1. Noakhali Science and Technology University, Noakhali, Bangladesh

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  2. Mohammad Ali Moni

    1. The University of Queensland, St. Lucia, Australia

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  3. M. Shamim Kaiser

    1. Jahangirnagar University, Dhaka, Bangladesh

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  4. Mohammad Shamsul Arefin

    1. Daffodil International University, Dhaka, Bangladesh

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Included in the following conference series:

Conference proceedings info: MIET 2022.

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Table of contents (61 papers)

  1. Front Matter

    Pages i-xxxi
    Download chapter PDF

  2. Bio Signals and Recommendation Systems for Wellbeing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Diagnosis and Classification of Fetal Health Based on CTG Data Using Machine Learning Techniques

      • Md. Monirul Islam, Md. Rokunojjaman, Al Amin, Md. Nasim Akhtar, Iqbal H. Sarker
      Pages 3-16

    3. Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Network

      • Nabiha Mustaqeem, Tasnia Rahman, Jannatul Ferdous Binta Kalam Priyo, Mohammad Zavid Parvez, Tanvir Ahmed
      Pages 17-30

    4. Autism Spectrum Disorder Detection from EEG Through Hjorth Parameters and Classification Using Neural Network

      • Zahrul Jannat Peya, Bipasha Zaman, M. A. H. Akhand, Nazmul Siddique
      Pages 31-40

    5. A Review on Heart Diseases Prediction Using Artificial Intelligence

      • Rehnuma Hasnat, Abdullah Al Mamun, Ahmmad Musha, Anik Tahabilder
      Pages 41-54

    6. Machine Learning Models to Identify Discriminatory Factors of Diabetes Subtypes

      • Shahriar Hassan, Tania Akter, Farzana Tasnim, Md. Karam Newaz
      Pages 55-67

    7. Analysis of Hand Movement from Surface EMG Signals Using Artificial Neural Network

      • S. A. Ahsan Rajon, Mahmudul Hasan Abid, Niloy Sikder, Kamrul Hasan Talukder, Md. Mizanur Rahman, Md. Shamim Ahsan et al.
      Pages 68-78

    8. Design and Implementation of a Drowsiness Detection System Up to Extended Head Angle Using FaceMesh Machine Learning Solution

      • Jafirul Islam Jewel, Md. Mahabub Hossain, Md. Dulal Haque
      Pages 79-90

    9. Fuzziness Based Semi-supervised Deep Learning for Multimodal Image Classification

      • Abeda Asma, Dilshad Noor Mostafa, Koli Akter, Mufti Mahmud, Muhammed J. A. Patwary
      Pages 91-105

    10. Human Emotion Recognition from Facial Images Using Convolutional Neural Network

      • Saima Sultana, Rashed Mustafa, Mohammad Sanaullah Chowdhury
      Pages 106-120

    11. Emotion Recognition from Brain Wave Using Multitask Machine Learning Leveraging Residual Connections

      • Rumman Ahmed Prodhan, Sumya Akter, Muhammad Bin Mujib, Md. Akhtaruzzaman Adnan, Tanmoy Sarkar Pias
      Pages 121-136

    12. Emotion Recognition from EEG Using Mutual Information Based Feature Map and CNN

      • Mahfuza Akter Maria, A. B. M. Aowlad Hossain, M. A. H. Akhand
      Pages 137-150

    13. A Machine Learning-Based System to Recommend Appropriate Military Training Program for a Soldier

      • Md Tauhidur Rahman, Raquib Hasan Dewan, Md Abdur Razzak, Sumaiya Nuha Mustafina, Muhammad Nazrul Islam
      Pages 151-161

    14. Integrated Music Recommendation System Using Collaborative and Content Based Filtering, and Sentiment Analysis

      • Arafat Bin Hossain, Wordh Ul Hasan, Kimia Tuz Zaman, Koushik Howlader
      Pages 162-172

    15. A Clustering Based Niching Method for Effectively Solving the 0-1 Knapsack Problem

      • Md. Meheruzzaman Sarker, Md. Jakirul Islam, Md. Zakir Hossain
      Pages 173-187

    16. Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning

      • Nazmus Sakib, G. M. Shahariar, Md. Mohsinul Kabir, Md. Kamrul Hasan, Hasan Mahmud
      Pages 188-203

    17. The Impact of Data Locality on the Performance of Cluster-Based Under-Sampling

      • Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Rezab Ud Dawla, Afsana Airin, Akib Zaman et al.
      Pages 204-215

    18. An Analysis of Islamic Inheritance System Under Object-Oriented Paradigm

      • A. H. M. Sajedul Hoque, Sadia Tabassum, Rashed Mustafa, Mohammad Sanaullah Chowdhury, Mohammad Osiur Rahman
      Pages 216-225

    19. Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion?

      • Nibir Chandra Mandal, Tashreef Muhammad, G. M. Shahariar
      Pages 226-241
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Other volumes

  1. Machine Intelligence and Emerging Technologies

  2. Machine Intelligence and Emerging Technologies

Keywords

About this book

The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. 


The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies.  It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.

Editors and Affiliations

  • Noakhali Science and Technology University, Noakhali, Bangladesh

    Md. Shahriare Satu

  • The University of Queensland, St. Lucia, Australia

    Mohammad Ali Moni

  • Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  • Daffodil International University, Dhaka, Bangladesh

    Mohammad Shamsul Arefin

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