Journals / CMC / Vol.,
Table of Content

Research Article


Big Data, Analytics and Intelligent Algorithms for COVID-19

Submission Deadline: 10 September 2020 (closed)


This article has no abstract.


• COVID-19 analysis using Big Data
• COVID-19 analysis using pattern recognition
• Medical imaging using computer vision for COVID-19
• Artificial technique analysis for COVID-19
• Machine learning techniques and analysis for COVID-19
• Information Technology participation in Patient monitoring and tracking for COVID-19
• Medical Management system for COVID-19
• Treatment simulation model and analysis for COVID-19
• Telemedicine system for COVID-19
• Optimal Resource allocation for Epidemic control
• Simulation optimization for epidemic control
• Optimization methods for patient allocation during epidemic
• COVID-19 dynamic optimization model for allocation of medical resources
• Optimizing infectious disease interventions during an emerging epidemic
• Contact tracing by social network analysis using learning techniques
• Risk management for COVID-19
• Optimization control strategies for COVID-19
• Ethical and public policy dimensions for COVID-19
• Cost optimization model for infectious disease with treatment
• Mathematical model of infectious design transmission
• Risk profiling for COVID-19
• Using predictive analysis for health care improvement
• Big data for Predictive analysis for emerging epidemic
• Statistical foundations for COVID-19
• Nonlinear and dynamic programming for epidemic intervention
• Intelligent algorithms and their applications for information security
• Big Data Analytics for prediction and application for COVID-19
• Big data analytics for prediction in medicine and health related applications
  • Research Article

    BEST PAPER 2021

    Survey of Robotics in Education, Taxonomy, Applications, and Platforms during COVID-19

    Hussain A. Younis1,2, A. S. A. Mohamed2,*, R. Jamaludin3, M. N. Ab Wahab2 CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 687-707, 2021, DOI:10.32604/cmc.2021.013746
    Abstract The coronavirus disease 2019 (COVID-19) is characterized as a disease caused by a novel coronavirus known as severe acute respiratory coronavirus syndrome 2 (SARS-CoV-2; formerly known as 2019-nCoV). In December 2019, COVID-19 began to appear in a few countries. By the beginning of 2020, it had spread to most countries across the world. This is when education challenges began to arise. The COVID-19 crisis led to the closure of thousands of schools and universities all over the world. Such a situation requires reliance on e-learning and robotics education for students to continue their studies to avoid the mingling between people… More >

    Graphic Abstract

  • Research Article

    BEST PAPER 2021

    A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-ray Images

    Mazin Abed Mohammed1, Karrar Hameed Abdulkareem2, Begonya Garcia-Zapirain3, Salama A. Mostafa4, Mashael S. Maashi5, Alaa S. Al-Waisy1, Mohammed Ahmed Subhi6, Ammar Awad Mutlag7, Dac-Nhuong Le8,9,* CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3289-3310, 2021, DOI:10.32604/cmc.2021.012874
    Abstract The quick spread of the Coronavirus Disease (COVID-19) infection around the world considered a real danger for global health. The biological structure and symptoms of COVID-19 are similar to other viral chest maladies, which makes it challenging and a big issue to improve approaches for efficient identification of COVID-19 disease. In this study, an automatic prediction of COVID-19 identification is proposed to automatically discriminate between healthy and COVID-19 infected subjects in X-ray images using two successful moderns are traditional machine learning methods (e.g., artificial neural network (ANN), support vector machine (SVM), linear kernel and radial basis function (RBF), k-nearest neighbor… More >

    Graphic Abstract

Share Link

WeChat scan