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Applied Machine Learning and Data Analytics

5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. M. A. Jabbar

    1. Vardhaman College of Engineering, Hyderabad, India

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  2. Fernando Ortiz-Rodríguez

    1. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

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  3. Sanju Tiwari

    1. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

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  4. Patrick Siarry

    1. University of Paris-Est Creteil, Vitry sur Seine, France

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1818)

Included in the following conference series:

Conference proceedings info: AMLDA 2022.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Deep Learning Methods to Automate Embryo Classification and Evaluation

    • Rani B R Shobha, S. Bharathi, Piyush Kumar Pareek
    Pages 1-12

  3. Univariate Feature Fitness Measures for Classification Problems: An Empirical Assessment

    • Emon Asad, Atikul Islam, Asfaque Alam, Ayatullah Faruk Mollah
    Pages 13-26

  4. Securing Advanced Metering Infrastructure Using Blockchain for Effective Energy Trading

    • Yuvraj Singh, Agni Datta, Smita Shandilya, Shishir Kumar Shandilya
    Pages 27-38

  5. Keratoconus Classification Using Feature Selection and Machine Learning Approach

    • E. Smily Yeya Jothi, J. Anitha, Jude Hemanth
    Pages 39-51

  6. Semantic Segmentation of the Lung to Examine the Effect of COVID-19 Using UNET Model

    • Oluwatobi Akinlade, Edlira Vakaj, Amna Dridi, Sanju Tiwari, Fernando Ortiz-Rodriguez
    Pages 52-63

  7. SMDKGG: A Socially Aware Metadata Driven Knowledge Graph Generation for Disaster Tweets

    • E. Bhaveeasheshwar, Gerard Deepak
    Pages 64-77

  8. Brain MRI Image Classification Using Deep Learning

    • Anand Meti, Akanksha Rao, Pratyush Jha
    Pages 78-90

  9. A Real-Time Face Recognition Attendance Using Machine Learning

    • Umurerwa Marie Adeline, Harerimana Gaspard, Kabandana Innocent
    Pages 91-107

  10. Towards Abalone Differentiation Through Machine Learning

    • Ruben Barrera-Hernandez, Viridiana Barrera-Soto, Jose L. Martinez-Rodriguez, Ana B. Rios-Alvarado, Fernando Ortiz-Rodriguez
    Pages 108-118

  11. Better Qualitative Searching for Effecting the Performance of Machine Translation

    • Anasua Banerjee, Vinay Kumar, Debajyoty Banik
    Pages 119-130

  12. RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation Using Convolutional Neural Network

    • Shankru Guggari, B. Chandan Srivastava, Vivek Kumar, Halli Harshita, Vishal Farande, Uday Kulkarni et al.
    Pages 131-141

  13. A Credit Card Fraud Detection Model Using Machine Learning Methods with a Hybrid of Undersampling and Oversampling for Handling Imbalanced Datasets for High Scores

    • Omar Sinayobye, Richard Musabe, Alfred Uwitonze, Alexander Ngenzi
    Pages 142-155

  14. Implementation of YOLOv7 for Pest Detection

    • Pratibha Nayar, Shivank Chhibber, Ashwani Kumar Dubey
    Pages 156-165

  15. Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective

    • Pritha Das, Udit Chawla, Subrata Chattopadhyay
    Pages 166-178

  16. A Novel Approach: Semantic Web Enabled Subject Searching for Union Catalogue

    • Dharmeshkumar Shah, Harshal Arolkar, Ronak Panchal
    Pages 179-190

  17. How People in South America is Facing Monkeypox Outbreak?

    • Josimar Chire-Saire, Anabel Pineda-Briseño, Jimy Frank Oblitas
    Pages 191-201

  18. Multilevel Classification of Satellite Images Using Pretrained AlexNet Architecture

    • A. Josephine Atchaya, J. Anitha, Asha Gnana Priya, J. Jacinth Poornima, Jude Hemanth
    Pages 202-209

  19. Handwriting Recognition for Predicting Gender and Handedness Using Deep Learning

    • Mala Saraswat, Ayushi Agarwal
    Pages 210-221

  20. Retrieval of Weighted Lexicons Based on Supervised Learning Method

    • Asdrúbal López-Chau, Rafael Rojas-Hernández, David Valle-Cruz, Valentin Trujillo-Mora
    Pages 222-230
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  1. Applied Machine Learning and Data Analytics

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About this book

This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22–23, 2022. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine learning, Healthcare and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging.

Editors and Affiliations

  • Vardhaman College of Engineering, Hyderabad, India

    M. A. Jabbar

  • Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Fernando Ortiz-Rodríguez, Sanju Tiwari

  • University of Paris-Est Creteil, Vitry sur Seine, France

    Patrick Siarry

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