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Mohamed Abdel-Basset

Researcher at Zagazig University

Publications -  90
Citations -  3290

Mohamed Abdel-Basset is an academic researcher from Zagazig University. The author has contributed to research in topics: Computer science & Population. The author has an hindex of 19, co-authored 90 publications receiving 1297 citations.

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RETRACTED: Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems

TL;DR: The proposed system of supply chain management will be able to overcome all challenges of traditional SCM and provide secure environment of SCM processes and a framework which integrates DEMATEL and AHP in neutrosophic environment to deal effectively with vague, uncertain and incomplete information is presented.
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An intelligent framework using disruptive technologies for COVID-19 analysis.

TL;DR: The proposed framework restricts the spread of CO VID-19 outbreaks, ensures the safety of the healthcare teams and maintains patients' physical and psychological healthcare conditions, and is designed to deal with the severe shortage of PPE for the medical team, reduce the massive pressure on hospitals, and track recovered patients to treat COVID-19 patients with plasma.
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HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images.

TL;DR: A new hybrid approach based on the thresholding technique to overcome ISP for COVID-19 chest X-ray images by integrating a novel meta-heuristic algorithm known as a slime mould algorithm (SMA) with the whale optimization algorithm to maximize the Kapur’s entropy.
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A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy

TL;DR: A hybrid COVID-19 detection model based on an improved marine predators algorithm (IMPA) for X-Ray image segmentation is proposed and the ranking-based diversity reduction (RDR) strategy is used to enhance the performance of the IMPA to reach better solutions in fewer iterations.
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A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: A case study

TL;DR: A new hybrid methodology for the selection of offshore wind power station location combining the Analytical Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)-II methods in the neutrosophic environment is proposed.