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- W3204807003 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." @default.
- W3204807003 created "2021-10-11" @default.
- W3204807003 creator A5028864291 @default.
- W3204807003 date "2021-10-06" @default.
- W3204807003 modified "2023-10-14" @default.
- W3204807003 title "Intelligent algorithms and complex system for a smart parking for vaccine delivery center of COVID-19" @default.
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- W3204807003 doi "https://doi.org/10.1007/s40747-021-00524-5" @default.
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