Hybrid Computational Intelligence Algorithm for Autonomous Handling of COVID-19 Pandemic Emergency in Smart Cities

Faculty Computer Science Year: 2022
Type of Publication: ZU Hosted Pages:
Authors:
Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly
Journal: Sustainable Cities and Society Elsevier Volume:
Keywords : Hybrid Computational Intelligence Algorithm , Autonomous Handling    
Abstract:
New cities exploit the smartness of the IoT-based architecture to run their vital and organizational processes. The smart response of pandemic emergency response services needs optimizing methodologies of caring and limit infection without direct connection with patients. In this paper, a hybrid Computational Intelligence (CI) algorithm called Moth-Flame Optimization and Marine Predators Algorithms (MOMPA) is proposed for planning the COVID-19 pandemic medical robot's path without collisions
    
     
 
       

Author Related Publications

  • Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "An Expert GIS-Based ANP-OWA Decision Making Framework for Tourism Development Site Selection", MECS Publisher, 2014 More
  • Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015 More
  • Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A COM-based Spatial Decision Support System for Industrial Site Selection", GIDA, 2003 More
  • Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "Integrating GIS and MCDM Using COM Technology", Zarqa University., 2005 More
  • Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A COM-based expert system for selecting the suitable map projection in ArcGIS", Elsevier Limited., 2006 More

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  • Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010 More
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