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The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Aboul Ella Hassanien

    1. Faculty of Computer and AI, Cairo University, Giza, Egypt

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  2. Abdelkrim Haqiq

    1. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

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  3. Ahmad Taher Azar

    1. College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

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  4. KC Santosh

    1. Department of Computer Science, University of South Dakota, Vermillion, USA

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  5. M. A. Jabbar

    1. Vardhaman College of Engineering, Hyderabad, India

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  6. Adam Słowik

    1. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

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  7. Parthasarathy Subashini

    1. Department of Computer Science, Avinashilingam University for Women, Coimbatore, India

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  • Presents research in the field of Artificial Intelligence and Computer Vision
  • Includes the outcomes of AICV’2023, held June March 5–7, 2023, in Marrakesh, Morocco
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 164)

Included in the following conference series:

Conference proceedings info: AICV 2023.

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Table of contents (53 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Deep Learning and Intelligent Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Convolutional Sparse Autoencoder for Emotion Recognition

      • M. Mohana, P. Subashini
      Pages 3-15

    3. Lung Cancer Classification Model Using Convolution Neural Network

      • Esraa A.-R. Hamed, Mohammed A.-M. Salem, Nagwa L. Badr, Mohamed F. Tolba
      Pages 16-26

    4. An Enhanced Deep Learning Approach for Breast Cancer Detection in Histopathology Images

      • Mahmoud Ouf, Yasser Abdul-Hamid, Ammar Mohammed
      Pages 27-36

    5. Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs

      • Btissam Bousarhane, Driss Bouzidi
      Pages 37-47

    6. Deep Learning Approach for a Dynamic Swipe Gestures Based Continuous Authentication

      • Zakaria Naji, Driss Bouzidi
      Pages 48-57

    7. Skin Cancer Detection Based on Deep Learning Methods

      • Sara Shaaban, Hanan Atya, Heba Mohammed, Ahmed Sameh, Kareem Raafat, Ahmed Magdy
      Pages 58-67

    8. Predicted Phase Using Deep Neural Networks to Enhance Esophageal Speech

      • Madiha Amarjouf, Fadoua Bahja, Joseph Di-Martino, Mouhcine Chami, El Hassan Ibn-Elhaj
      Pages 68-76

    9. State of the Art Literature on Anti-money Laundering Using Machine Learning and Deep Learning Techniques

      • Bekach Youssef, Frikh Bouchra, Ouhbi Brahim
      Pages 77-90

    10. The Reality of Artificial Intelligence Skills Among Eighth-Grade Students in Public Schools

      • Shatha Sakher, Areeg Al Fouri, Shatha Al Fouri, Muhammad Turki Alshurideh
      Pages 91-106

    11. A Deep Neural Network Architecture for Extracting Contextual Information

      • Zakariae Alami Merrouni, Bouchra Frikh, Brahim Ouhbi
      Pages 107-116

  3. Machine Learning and Applications

    1. Front Matter

      Pages 117-117
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    2. Feedforward Neural Network in Cancer Treatment Response Prediction

      • Hanan Ahmed, Howida A. Shedeed, Safwat Hamad, Ashraf S. Hussein
      Pages 119-128

    3. A Genetic Algorithm Approach Applied to the Cover Set Scheduling Problem for Maximizing Wireless Sensor Networks Lifetime

      • Ibtissam Larhlimi, Maryem Lachgar, Hicham Ouchitachen, Anouar Darif, Hicham Mouncif
      Pages 129-137

    4. Application of Machine Learning to Sentiment Analysis

      • Oumaima Bellar, Amine Baina, Mostafa Bellafkih
      Pages 138-148

    5. Robust Vehicle Detection by Using Deep Learning Feature and Support Vector Machine

      • Vinh Dinh Nguyen, Thanh Hoang Tran, Doan Thai Dang, Narayan C. Debnath
      Pages 149-157

    6. Arabic Vowels Recognition Using Envelope’s Energy and Artificial Neural Network

      • Nesrine Abajaddi, Youssef Elfahm, Badia Mounir, Abdelmajid Farchi
      Pages 158-163

    7. Soil Nutrient Prediction Model in Hybrid Farming Using Rule-Based Regressor

      • M. Krishnaveni, Paa. Raajeswari, P. Subashini, V. Narmadha, P. Ramya
      Pages 164-178

    8. Evaluation and Comparison of Energy Consumption Prediction Models Case Study: Smart Home

      • Elhabyb Khaoula, Baina Amine, Bellafkih Mostafa
      Pages 179-187
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  1. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023

Keywords

About this book

This book presents the proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision (AICV’2023) which will be held in Marrakesh, Morocco, during March 05–07, 2023. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the computer, Networks, Mobility and Modeling Laboratory (IR2M), Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco, the Scientific Research Group in Egypt (SRGE), Cairo University, and the Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia. The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, sentiment analysis, and recommendation systems, and software-defined network and telecommunication.

Editors and Affiliations

  • Faculty of Computer and AI, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  • Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  • College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Ahmad Taher Azar

  • Department of Computer Science, University of South Dakota, Vermillion, USA

    KC Santosh

  • Vardhaman College of Engineering, Hyderabad, India

    M. A. Jabbar

  • Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Słowik

  • Department of Computer Science, Avinashilingam University for Women, Coimbatore, India

    Parthasarathy Subashini

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