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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Aboul-Ella Hassanien

    1. Information Technology Department, Cairo University, Faculty of Computers and Information, Giza, Egypt

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  2. Ahmad Taher Azar

    1. Faculty of Computers and Information, Benha University, Banha, Egypt

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  3. Tarek Gaber

    1. Faculty of Computers and Information, Suez Canal University, Ismailia, Egypt

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  4. Diego Oliva

    1. Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadajalara, Mexico

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  5. Fahmy M. Tolba

    1. Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

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  • Discusses recent advances in the field of artificial intelligence and computer vision
  • Presents the proceedings of Artificial Intelligence and Computer Vision (AICV 2020) held in Cairo, Egypt, on April 8–10, 2020
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1153)

Included in the following conference series:

Conference proceedings info: AICV 2020.

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Table of contents (81 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
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    2. Artificial Intelligence-Based Plant’s Diseases Classification

      • Lobna M. Abou El-Maged, Ashraf Darwish, Aboul Ella Hassanien
      Pages 3-15

    3. Machine Learning for Apple Fruit Diseases Classification System

      • Atrab A. Abd El-aziz, Ashraf Darwish, Diego Oliva, Aboul Ella Hassanien
      Pages 16-25

    4. Experimental Modeling of Hexapod Robot Using Artificial Intelligence

      • Abdelrahman Sayed Sayed, Amr Ahmed Mohamed, Ahmed Magd Aly, Youssef Mohamed Hassan, Abdallah Mahir Abdulaziz, Hossam Hassan Ammar et al.
      Pages 26-36

    5. A Systematic Review of the Factors Affecting the Artificial Intelligence Implementation in the Health Care Sector

      • Shaikha F. S. Alhashmi, Muhammad Alshurideh, Barween Al Kurdi, Said A. Salloum
      Pages 37-49

    6. Machine Learning and Deep Learning Techniques for Cybersecurity: A Review

      • Said A. Salloum, Muhammad Alshurideh, Ashraf Elnagar, Khaled Shaalan
      Pages 50-57

  3. Mining and Data Analysis

    1. Front Matter

      Pages 59-59
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    2. A Survey of Semantic Analysis Approaches

      • Said A. Salloum, Rehan Khan, Khaled Shaalan
      Pages 61-70

    3. Mining Publication Papers via Text Mining: A Case Study

      • Ahmed S. Ibrahim, Sally Saad, Mostafa Aref
      Pages 71-80

    4. Medical Imbalanced Data Classification Based on Random Forests

      • Engy El-shafeiy, Amr Abohany
      Pages 81-91

    5. Mining in Educational Data: Review and Future Directions

      • Said A. Salloum, Muhammad Alshurideh, Ashraf Elnagar, Khaled Shaalan
      Pages 92-102

    6. Green Supply Chain Management and Firm’s Performance: A Review

      • Sara Jasim, Muneer Al-Mubarak, Allam Hamdan
      Pages 103-111

    7. Role of Financial Technology FinTech: A Survey

      • Anjum Razzaque, Allam Hamdan
      Pages 112-117

    8. Applications of Integrated Management and Distribution Information in Power Supply System

      • Yanbo Liu, Yingjie Zang, Chao Sun, Jingwen Sun
      Pages 118-124

  4. Swarm-Based Optimization and Applications

    1. Front Matter

      Pages 125-125
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    2. Vortex Swarm Optimization: New Metaheuristic Algorithm

      • Ahmed Sabry A. Elrahman, Hesham A. Hefny
      Pages 127-136

    3. An Artificial Intelligence System for Apple Fruit Disease Classification Based on Support Vector Machine and Cockroach Swarm Optimization

      • Mohamed A. El-dosuky, Diego Oliva, Aboul Ella Hassanien
      Pages 137-147

    4. Controlling Directed Particle Swarm Optimization for Delivering Nano-robots to Cancer Cells

      • Doaa Ezzat, Safaa Amin, Howida A. Shedeed, Mohamed F. Tolba
      Pages 148-158

    5. Feature Selection Method Based on Chaotic Maps and Butterfly Optimization Algorithm

      • Asmaa Ahmed Awad, Ahmed Fouad Ali, Tarek Gaber
      Pages 159-169
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  1. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)

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About this book

This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). 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, intelligent systems and applications, and intelligent networks.

Editors and Affiliations

  • Information Technology Department, Cairo University, Faculty of Computers and Information, Giza, Egypt

    Aboul-Ella Hassanien

  • Faculty of Computers and Information, Benha University, Banha, Egypt

    Ahmad Taher Azar

  • Faculty of Computers and Information, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  • Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadajalara, Mexico

    Diego Oliva

  • Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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