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An IoT model for supporting global governmental lockdown scenarios: investigating comparative lockdown strategies and assessing generic perception of pandemic response
Faculty
Computer Science
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Abdallah Gamal abdallah mahmoud
Staff Zu Site
Abstract In Staff Site
Journal:
Enterprise Information Systems Taylor and Francis
Volume:
Volume 18
Keywords :
, , model , supporting global governmental lockdown scenarios:
Abstract:
We propose an integrated IoT model to blend IoT technologies, neutrosophic theory and AHP to handle uncertain conditions of real-life situations and aid decision-makers with systematic and optimum decisions. In our case study, four ranked scenarios are assigned the appropriate IoT technology generated to support the government and competent authorities in the pandemic outbreak to prevent growing risks. Our study is based on the decision-makers’ judgments that need to be expanded with more experts in the various aspects of government and competent authorities. The integrated IoT model provides a balance between the restart of economic life and COVID-19 outbreaks.
Author Related Publications
Abdallah Gamal abdallah mahmoud, "A novel model for evaluation Hospital medical care systems based on plithogenic sets", Elsevier B.V., 2019
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Abdallah Gamal abdallah mahmoud, "An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number", Elsevier B.V., 2019
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Abdallah Gamal abdallah mahmoud, "A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection", Springer US, 2019
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Abdallah Gamal abdallah mahmoud, "A Security-by-Design Decision-Making Model for Risk Management in Autonomous Vehicles", IEEE, 2021
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Abdallah Gamal abdallah mahmoud, "Evaluation of sustainable hydrogen production options using an advanced hybrid MCDM approach: A case study", Elsevier, 2021
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Department Related Publications
Mohammed Abdel Basset Metwally Attia, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier, 2018
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Mai Mohammed Abdul Sattar Jaafar, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier, 2018
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Saber Mohamed, "A Constraint Consensus Memetic Algorithm for Solving Constrained Optimization Problems", Taylor & Francis, 2013
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Saber Mohamed, "Self-Adaptive Differential Evolution Incorporating a Heuristic Mixing of Operators", Springer, 2012
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Saber Mohamed, "Configuring Two-algorithm-based Evolutionary Approach for Solving Dynamic Economic Dispatch Problems", Elsevier, 2016
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