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Advanced Machine Learning Technologies and Applications

Proceedings of AMLTA 2021

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Aboul-Ella Hassanien

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

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  2. Kuo-Chi Chang

    1. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Tang Mincong

    1. International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

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  • Presents research in the field of machine learning and its applications
  • Includes the outcomes of AMLTA 2021, held March 20–22, 2021, in Cairo, Egypt
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1339)

Included in the following conference series:

Conference proceedings info: AMLTA 2021.

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About this book

This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

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Keywords

Table of contents (104 papers)

  1. Front Matter

    Pages i-xxii
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  2. Artificial Intelligence Against COVID-19

    1. Front Matter

      Pages 1-1
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    2. Living with COVID-19: A Data Mining Approach for Social Media Learning

      • Bader A. Alyoubi, Alaa A. Qaffas, Abed S. Alsahli, Ibrahim Alhassan, Taha M. Mohamed
      Pages 3-11

    3. LWCOV: LightWeight Deep Convolutional Neural Network for COVID-19 Detection

      • Ahmed El-Baz, Walaa Saber, Rawya Y. Rizk
      Pages 12-22

    4. COVID-19 Patient Chest X-Rays: Automatic Detection Using Deep Learning

      • Aly Mostafa, Ahmed Elbehery, Ali Ashraf, Omar Mohamed, Ali Mahmoud
      Pages 23-32

    5. Detection of COVID-19 from Chest X-Ray Images Using Deep Neural Network with Fine-Tuning Approach

      • Sahar Selim
      Pages 33-42

    6. A Deep Learning Solution Framework for Awareness, Diagnosing and Predicting COVID-19

      • Rania ElGohary, Ahmed Hisham, Mohamed Salama, Yousef A. Yousef Selim, M. S. Abdelwahab
      Pages 43-53

    7. COVID-19 Outbreak Learning Prediction Based on Swarm Intelligence Model “Chaotic Fruit Fly Algorithm Followed by Activation Function”

      • Rabab Hamed M. Aly, Kamel H. Rahouma
      Pages 54-63

    8. Impact of COVID-19 Pandemic on Diet Prediction and Patient Health Based on Support Vector Machine

      • M. Y. Shams, O. M. Elzeki, Mohamed Abd Elfattah, Lobna M. Abouelmagd, Ashraf Darwish, Aboul Ella Hassanien
      Pages 64-76

    9. WhatsApp as a Source of E-Learning During Corona Virus Pandemic

      • Abdulsadek Hassan, Ismail Noori Mseer, Ali Ahmed Mahdi Omran, Abdalmuttaleb M. A. Musleh Al-Sartawi, Adel Mohammed Yaslam Sarea
      Pages 77-91

  3. Deep Learning Technology and Applications

    1. Front Matter

      Pages 93-93
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    2. Text Classification of Arabic Text: Deep Learning in ANLP

      • Ahlam Wahdan, Said A. Salloum, Khaled Shaalan
      Pages 95-103

    3. Arabic Text Generation: Deep Learning for Poetry Synthesis

      • Hani D. Hejazi, Ahmed A. Khamees, Muhammad Alshurideh, Said A. Salloum
      Pages 104-116

    4. Deep Learning Classification Methods for Brain-Computer Interface: An Overview

      • Sara Mohammed Farag, Samah Refat, Mohammed El-Telbany
      Pages 117-124

    5. Solar PV Power Forecasting Approach Based on Hybrid Deep Neural Network

      • Kuo-Chi Chang, Abdalaziz Altayeb Ibrahim Omer, Kai-Chun Chu, Fu-Hsiang Chang, Hsiao-Chuan Wang, Yuh-Chung Lin et al.
      Pages 125-133

    6. Panoramic Radiographic X-Ray Image Tooth Root Segmentation Based on LeNet-5 Networks

      • Ruiqi Shi, Chang Liu, Jiang Tao, Guoqiang Li, Kai Xiao, Zhangqian Xie et al.
      Pages 134-144

    7. YOLO V3 and YOLO V4 for Masses Detection in Mammograms with ResNet and Inception for Masses Classification

      • Ghada Hamed Aly, Mohammed Abd El-Rahman Marey, Safaa El-Sayed Amin, Mohamed Fahmy Tolba
      Pages 145-153

    8. Classification of Date Fruits in a Controlled Environment Using Convolutional Neural Networks

      • Wadha S. N. Alhamdan, Jacob M. Howe
      Pages 154-163

    9. Spoken Arabic Digits Recognition System Using Convolutional Neural Network

      • Mona A. Azim, Wedad Hussein, Nagwa L. Badr
      Pages 164-172

  4. Machine Learning and Applications

    1. Front Matter

      Pages 173-173
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Other volumes

  1. Advanced Machine Learning Technologies and Applications

Editors and Affiliations

  • Information Technology Department, Cairo University, Computer and Information Faculty, Giza, Egypt

    Aboul-Ella Hassanien

  • College of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

    Kuo-Chi Chang

  • International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

    Tang Mincong

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