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  • Conference proceedings
  • © 2023

Machine Intelligence and Emerging Technologies

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

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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Part of the book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 490)

Conference series link(s): MIET: International Conference on Machine Intelligence and Emerging Technologies

Conference proceedings info: MIET 2022.

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Table of contents (43 papers)

  1. Front Matter

    Pages i-xxxi
    PDF

  2. Imaging for Disease Detection

    1. Front Matter

      Pages 1-1
      PDF

    2. Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach

      • Abu Kowshir Bitto, Md.Hasan Imam Bijoy, Aka Das, Md.Ashikur Rahman, Masud Rabbani
      Pages 3-14

    3. False Smut Disease Detection in Paddy Using Convolutional Neural Network

      • Nahid Hasan, Tanzila Hasan, Shahadat Hossain, Md. Manzurul Hasan
      Pages 15-21

    4. Gabor Wavelet Based Fused Texture Features for Identification of Mungbean Leaf Diseases

      • Sarna Majumder, Badhan Mazumder, S. M. Taohidul Islam
      Pages 22-34

    5. Potato Disease Detection Using Convolutional Neural Network: A Web Based Solution

      • Jannathul Maowa Hasi, Mohammad Osiur Rahman
      Pages 35-48

    6. Device-Friendly Guava Fruit and Leaf Disease Detection Using Deep Learning

      • Rabindra Nath Nandi, Aminul Haque Palash, Nazmul Siddique, Mohammed Golam Zilani
      Pages 49-59

    7. Cassava Leaf Disease Classification Using Supervised Contrastive Learning

      • Adit Ishraq, Sayefa Arafah, Sadiya Akter Mim, Nusrat Jahan Shammey, Firoz Mridha, Md. Saifur Rahman
      Pages 60-71

    8. Diabetes Mellitus Prediction Using Transfer Learning

      • Md Ifraham Iqbal, Ahmed Shabab Noor, Ahmed Rafi Hasan
      Pages 72-83

    9. An Improved Heart Disease Prediction Using Stacked Ensemble Method

      • Md. Maidul Islam, Tanzina Nasrin Tania, Sharmin Akter, Kazi Hassan Shakib
      Pages 84-97

    10. Improved and Intelligent Heart Disease Prediction System Using Machine Learning Algorithm

      • Nusrat Alam, Samiul Alam, Farzana Tasnim, Sanjida Sharmin
      Pages 98-108

    11. PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors

      • Md. Rajib Mia, Md. Ashikur Rahman, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui, S M Hasan Mahmud
      Pages 109-121

    13. Infection Segmentation from COVID-19 Chest CT Scans with Dilated CBAM U-Net

      • Tareque Bashar Ovi, Md. Jawad-Ul Kabir Chowdhury, Shaira Senjuti Oyshee, Mubdiul Islam Rizu
      Pages 137-151

    14. Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images

      • Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman, Sheikh Mohammed Shariful Islam, A. K. M. Azad et al.
      Pages 152-166

    15. Classification of Tumor Cell Using a Naive Convolutional Neural Network Model

      • Debashis Gupta, Syed Rahat Hassan, Renu Gupta, Urmi Saha, Mohammed Sowket Ali
      Pages 167-176

    16. Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images

      • Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Sabina Yesmin, Md. Jueal Mia
      Pages 177-186

    17. Deep Convolutional Comparison Architecture for Breast Cancer Binary Classification

      • Nasim Ahmed Roni, Md. Shazzad Hossain, Musarrat Bintay Hossain, Md. Iftekharul Alam Efat, Mohammad Abu Yousuf
      Pages 187-200

    18. Lung Cancer Detection from Histopathological Images Using Deep Learning

      • Rahul Deb Mohalder, Khandkar Asif Hossain, Juliet Polok Sarkar, Laboni Paul, M. Raihan, Kamrul Hasan Talukder
      Pages 201-212

    19. Brain Tumor Detection Using Deep Network EfficientNet-B0

      • Mosaddeq Hossain, Md. Abdur Rahman
      Pages 213-225
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Other Volumes

  1. Machine Intelligence and Emerging Technologies

  2. Machine Intelligence and Emerging Technologies

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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.
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Keywords

  • access control
  • architecting
  • architecture analyis
  • artificial intelligence
  • classification methods
  • cluster analysis
  • communication channels
  • human computer interaction
  • image coding
  • image processing
  • information theory
  • mobile computing
  • natural languages
  • network protocols
  • software design
  • software engineering
  • telecommunication
  • user interfaces
  • watermarking algorithms
  • world wde web
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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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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
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

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