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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023)

Advanced Intelligent Systems on Digital Health Technology, Volume 1

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Mostafa Ezziyyani

    1. Computer Sciences Department, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

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  2. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

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  3. Valentina Emilia Balas

    1. Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad and Romanian Academy of Scientists, Arad, Romania

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  • Covers state-of-the-art technologies, theoretical concepts, and innovative applications of Sustainable Development
  • Presents proceeding of the International Conference on Advanced Intelligent Systems for Sustainable Development
  • Written by leading experts from around the world

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 904)

Included in the following conference series:

Conference proceedings info: AI2SD 2023.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Bibliometric Analysis of Global Research Trends on Digital Occupational Health Using Scopus Database

    • Youssef Er Rays, Hamid Ait Lequaddem, Mustapha Ezzahiri
    Pages 1-12

  3. Data Envelopment Analysis and Malmquist Index Application: Efficiency of Hospitals Networks in Morocco

    • Youssef Er-Rays, Meriem M’dioud, Hamid Ait-Lemqedde, Mustapha Ezzahir
    Pages 13-24

  4. Emergency Service Design and Management: Addressing Multi-floor Layout Challenges

    • Khalil Bouramtane, Said Kharraja, Jamal Riffi, Omar El Beqqali, Saïd Boujraf
    Pages 25-36

  5. Exploring the Application of Classical and Intelligent Software Testing in Medicine: A Literature Review

    • Mohamed Boukhlif, Nassim Kharmoum, Mohamed Hanine, Chaimae Elasri, Wajih Rhalem, Mostafa Ezziyyani
    Pages 37-46

  6. An Approach for Refactoring System Healthcare Using CQRS, GoF, and Natural Language Processing

    • Mohamed El Boukhari, Sara Retal, Nassim Kharmoum, Fadwa Saoiabi, Soumia Ziti, Wajih Rhalem
    Pages 47-55

  7. Information Extraction for Biomedical Literature Using Artificial Intelligence: A Comparative Study

    • Bouchaib Benkassioui, Sara Retal, Nassim Kharmoum, Moulay Youssef Hadi, Wajih Rhalem
    Pages 56-69

  8. Applying Graph Theory to Enhance Software Testing in Medical Applications: A Comparative Study

    • Chaimae Elasri, Nassim Kharmoum, Fadwa Saoiabi, Mohamed Boukhlif, Soumia Ziti, Wajih Rhalem
    Pages 70-78

  9. Agile Software Engineering in Medical Environments: Challenges and Opportunities

    • Fadwa Saoiabi, Nassim Kharmoum, Chaimae Elasri, Mohamed El Boukhari, Soumia Ziti, Wajih Rhalem
    Pages 79-87

  10. Ultrasound Beamforming: Investigating Time Series with Sequence to Sequence Approach in Deep Learning

    • Hamza Hadri, Abderahhim Fail, Mohamed Sadik
    Pages 88-97

  11. New Approach for Predicting Optimal Neoadjuvant Treatment in Breast Cancer Patients Using a Dynamic Treatment Graph

    • Sarah Khrouch, Loubna Cherrat, Wajih Rhalem, Mostafa Ezziyyani
    Pages 98-103

  12. Detection of a Cardiac Anomaly from a PCG Signal, Based on the Transition from Discrete to Continuous Point Clouds

    • Sory Millimono, Larbi Bellarbi, Sarah Maghzaz, Najib Alidrissi, Salsabil Hamdi, Nassim Kharmoum et al.
    Pages 104-110

  13. Transfer Learning Fine-Tuning Strategies for Enhanced Ultrasound Breast Cancer Classification

    • Mohamed Bal-Ghaoui, My Hachem El Yousfi Alaoui, Abdelilah Jilbab, Abdennaser Bourouhou
    Pages 111-117

  14. VGG-AM: Towards a New Hybrid Medical Imaging Analysis Based on VGG Classification Model and Deep DATA Preparation

    • Sory Millimono, Larbi Bellarbi, Sarah Maghzaz, Najib Alidrissi, Salsabil Hamdi, Nassim Kharmoum et al.
    Pages 118-127

  15. Deep Medical Imaging, Analysis the Brest Cancer Mammography

    • Wajih Rhalem, Sory Millimono, Larbi Bellarbi, Sarah Maghzaz, Najib Alidrissi, Salsabil Hamdi et al.
    Pages 128-135

  16. VAE-AL-UNet: Efficient Lung Segmentation in Chest X-Ray Images Using Variational Autoencoder and Active Learning

    • Maryem Ichou, Mounia Abik, Othmane Naggar
    Pages 136-153

  17. How Certified Management System and Information System Overcome Covid-19 Economics’ Impacts: Comparative Study for Moroccan Companies Between 2020 and 2023

    • Hassan Chidoud, Ahmed Aarab, Amin Laglaoui
    Pages 154-172

  18. SkinNet: Enhancing Dermatological Diagnosis Through a New Deep Learning Framework

    • Aymane Edder, Fatima-Ezzahraa Ben-Bouazza, Bassma Jioudi
    Pages 173-188

  19. Gabor Wavelet Scattering Network and KNN-Based Arrhythmia Classification Model

    • Mohamed El Mehdi Ait Bourkha, Anas Hatim, Dounia Nasir, Elbeid Said
    Pages 189-199

  20. A Theoretical framework for Harnessing Machine Learning for Digital Forensics in Online Social Networks

    • Abubakar Wakili, Sara Bakkali
    Pages 200-214
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Other volumes

  1. International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023)

  2. International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023)

  3. International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023)

  4. International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023)

Keywords

About this book

This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco.

 

This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements.

 

Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare.

 

Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.


Editors and Affiliations

  • Computer Sciences Department, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  • Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Janusz Kacprzyk

  • Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad and Romanian Academy of Scientists, Arad, Romania

    Valentina Emilia Balas

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