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Advances in Machine Intelligence and Computer Science Applications

Proceedings of the International Conference ICMICSA’2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Noureddine Aboutabit

    1. National School of Applied Sciences of Khouribga, Sultan Moulay Slimane University, Khouribga, Morocco

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  2. Mohamed Lazaar

    1. ENSIAS, Mohammed V University, Rabat, Morocco

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  3. Imad Hafidi

    1. National School of Applied Sciences of Khouribga, Sultan Moulay Slimane University, Khouribga, Morocco

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    You can also search for this editor in PubMed   Google Scholar

  • Presents new research on Machine Learning and Computer Science Applications
  • Contains proceedings of the International Conference of Machine Learning and Computer Science Applications
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 656)

Included in the following conference series:

Conference proceedings info: ICMICSA 2022.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-ix
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  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. A New Adaptation Mechanism of the ALNS Algorithm Using Reinforcement Learning

      • Hajar Boualamia, Abdelmoutalib Metrane, Imad Hafidi, Oumaima Mellouli
      Pages 3-14

    3. A Solution Based on Faster R-CNN for Augmented Reality Markers’ Detection: Drawing Courses Case Study

      • Hamada El Kabtane, Fatima Zohra Ennaji, Youssef Mourdi
      Pages 15-25

    4. Long-Term Average Temperature Forecast Using Machine Learning and Deep Learning in the Region of Beni Mellal

      • Hamza Jdi, Noureddine Falih
      Pages 26-34

    5. Unsupervising Denoising Model Based Generative Adversarial Networks

      • H. Hafsi, A. Ghazdali, H. Khalfi, N. Lamghari
      Pages 35-46

    6. Meta-heuristic Algorithms for Text Feature Selection Problems

      • Issam Lakouam, Imad Hafidi, Mourad Nachaoui
      Pages 47-58

    7. MYC: A Moroccan Corpus for Sentiment Analysis

      • Mouad Jbel, Imad Hafidi, Abdelmoutalib Metrane
      Pages 59-68

    8. Feature Selection for Text Classification Using Genetic Algorithm

      • Salma Belkarkor, Imad Hafidi, Mourad Nachaoui
      Pages 69-80

    9. Machine Learning Methods in the Detection of Type 2 Diabetes Mellitus Risk Factors

      • Boutayeb Wiam, Badaoui Mohammed, Al-Ali Hannah, Boutayeb Abdesslam, Doukali Mouhssine
      Pages 81-91

    10. A Survey of Deep Learning Based Natural Language Processing in Smart Healthcare

      • Zineb El M’hamdi, Mohamed Lazaar, Oussama Mahboub
      Pages 92-107

    11. Machine Learning-Based Classification of Leukemia Comparative Study

      • Zineb Skalli Houssaini, Omar El beqqali, Jamal El Riffi
      Pages 108-115

  3. Machine Vision

    1. Front Matter

      Pages 117-117
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    2. A Deep Learning Approach for Hand Gestures Recognition

      • Fatima Zohra Ennaji, Hamada El Kabtane
      Pages 119-128

    3. A Review on Video-Based Heart Rate, Respiratory Rate and Blood Pressure Estimation

      • Hoda El Boussaki, Rachid Latif, Amine Saddik
      Pages 129-140

    4. Arabic Handwritten Characters Recognition by Combining PHOG Descriptor with Ensemble Methods

      • M. Dahbali, Noureddine Aboutabit, N. Lamghari
      Pages 141-153

    5. Emotion Recognition Techniques

      • Maryam Knouzi, Fatima Zohra Ennaji, Imad Hafidi
      Pages 154-163

    6. A Deep Convolutional Neural Networks Approach for Word-Level Handwritten Script Identification Using a Large Dataset

      • Siham El Bahy, Noureddine Aboutabit, Hind Ait Mait
      Pages 164-174

    7. Arabic Sign Language Analysis and Recognition

      • Ihssane Bouhanou, Noureddine Aboutabit
      Pages 175-185

    8. Masked Facial Recognition Using Deep Metric Learning

      • S. Ahmam, N. Lamghari, H. Khalfi, A. Ourdou
      Pages 186-196
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Other volumes

  1. Advances in Machine Intelligence and Computer Science Applications

Keywords

About this book

This book encloses latest and advanced researches on artificial intelligence and its applications in computer science. It is an interesting book that aims to help students, researchers, industrialists, and policymakers understand, promote, and synthesize innovative solutions and think of new ideas with the application of artificial intelligence concepts. It also allows to know the existing scientific works and contributions in the literature. This book identifies original research in new directions and advances focused on multidisciplinary areas and closely related to the use of artificial intelligence in applications of computer science, communication, and technology. The present book contains selected and extended high-quality papers of the 1st international conference on Machine Intelligence and Computer Science Applications (ICMICSA’2022). It is the result of a reviewed, evaluated, and presented work in ICMICSA’2022 held on November 28–29, 2022, in Khouribga, Morocco.

Editors and Affiliations

  • National School of Applied Sciences of Khouribga, Sultan Moulay Slimane University, Khouribga, Morocco

    Noureddine Aboutabit, Imad Hafidi

  • ENSIAS, Mohammed V University, Rabat, Morocco

    Mohamed Lazaar

Bibliographic Information

  • Book Title: Advances in Machine Intelligence and Computer Science Applications

  • Book Subtitle: Proceedings of the International Conference ICMICSA’2022

  • Editors: Noureddine Aboutabit, Mohamed Lazaar, Imad Hafidi

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-29313-9

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-28845-6Published: 07 April 2023

  • eBook ISBN: 978-3-031-29313-9Published: 06 April 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: IX, 374

  • Number of Illustrations: 30 b/w illustrations, 103 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Big Data

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