Publications by authors named "Alhassan Ibrahim"
In recent years, COVID-19 has evolved into many variants, posing new challenges for disease control and prevention. The Omicron variant, in particular, has been found to be highly contagious. In this study, we constructed and analyzed a mathematical model of COVID-19 transmission that incorporates vaccination and three different compartments of the infected population: asymptomatic [Formula: see text], symptomatic [Formula: see text], and Omicron [Formula: see text].
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- COVID-19 infection rates are higher among high-risk individuals, who need to follow stricter preventive measures and vaccination strategies.
- A proposed model distinguishes between high-risk and low-risk individuals to analyze the impact of interventions, finding two equilibrium solutions and studying their stability.
- Results indicate that improving hospital efficacy and targeted vaccination in high-risk populations can significantly help control or eliminate COVID-19.
Medium access control (MAC) is one of the key requirements in underwater acoustic sensor networks (UASNs). For a MAC protocol to provide its basic function of efficient sharing of channel access, the highly dynamic underwater environment demands MAC protocols to be adaptive as well. Q-learning is one of the promising techniques employed in intelligent MAC protocol solutions, however, due to the long propagation delay, the performance of this approach is severely limited by reliance on an explicit reward signal to function.
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