ArticleMathematical methods in the applied sciences2021
Developing a detection model for a COVID-19 infected person based on a probabilistic dynamical system.
Article in Mathematical methods in the applied sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Analyzing the impact of a discounted parameter on the reduction of collision time in Brownian particle trajectories.Scientific reports · 2025Article
- A probabilistic early fault detection model for a feedback machining system with multiple types of spares.Scientific reports · 2023Article
- Developing a detection model for a COVID-19 infected person based on a probabilistic dynamical system.Mathematical methods in the applied sciences · 2021Article
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1 author.
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Abstract
This paper presents a novel model to detect the COVID-19 infected person from a Markovian feedback persons in a limited department capacity. The persons arrive one by one to the department and the balking and the retention of reneged person approaches are considered. There exists one server presents the service to these persons according to first-come, first-served (FCFS) discipline. An efficient and novel algorithm is presented to get the exact value of the probability of
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