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Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19.
Jemmali, Mahdi.
  • Jemmali M; Department of Computer Science and Information, College of Science at Zulfi, Majmaah University, AL-Majmaah, 11952 Saudi Arabia.
Complex Intell Systems ; 8(1): 597-609, 2022.
Article in English | MEDLINE | ID: covidwho-1516947
ABSTRACT
Achieving community immunity against the coronavirus disease 2019 (COVID-19) depends on vaccinating the largest number of people within a specific period while taking all precautionary measures. To address this problem, this paper presents a smart parking system that will help the health crisis management committee to vaccinate the largest number of people with the minimum period of time while ensuring that all precautionary measures are followed, through a set of algorithms. These algorithms seek to ensure a uniform distribution of persons in parking. This paper proposes a novel complex system for smart parking and nine algorithms to address the NP-hard problem. The experimental results demonstrate the performance of the proposed algorithms in terms of gap and time. Applying these algorithms to smart cities to ensure precautionary measures against COVID-19 can help fight against this pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines Language: English Journal: Complex Intell Systems Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines Language: English Journal: Complex Intell Systems Year: 2022 Document Type: Article