In the present study, quantitative model and methods that analyze dynamic system of
communication flow have been developed in the domain of queuing theory under uncertain …

The government hospitals in India influenced by multiple factors causing longer waiting time
of patients in comparison to private hospitals, which worsen the threat to healthcare facilities …

The toll plaza's efficient functioning can be depicted through the ease of selection of queue
with minimum occupancy by the user and the smooth flow with the minimum waiting time …

This study explores machine learning (ML) techniques for Software defects prediction (SDP)
by using Mathematical Modelling & Simulation. The SDP is also used in the critical systems …

Machine learning is a type of artificial intelligence (AI) method. The system can be conscious
and adaptable to changes in concepts when emphatically programmed for presence based …

Queueing systems are modeled by equations which depend on a large number of input
parameters. In practice, significant uncertainty is associated with estimates of these …

The pharmacy sector is a vital component in the ever-changing landscape of the healthcare
business, with increased demands with high percentage of ageing population and the …

Emergency departments (EDs) are crucial healthcare settings where halting free movement
of patients is the prime requirement. Triage is adopted for efficient patient categorization and …

En este trabajo de Tesis se estudia el planeamiento operativo de las tareas diarias de
laboratorios clínicos utilizando modelos matemáticos de simulación y optimización resueltos …

During the current pandemic time of covid-19, we are urged to maintain a specific amount of
social distance to prevent virus spread whenever we visit public places. Maintaining such …