ABSTRACT
In this paper, an autonomous mobile robot (AMR) that delivers food to patients in hospitals during COVID-19 pandemic situation was proposed. AMRs are one of the tools that can minimize direct physical contact between healthcare worker and patients to prevent infection. As some of the hospital logistic tasks are handled by the AMRs, more manpower can be distributed to more important tasks. This is a capstone project developed by a group of students from the Faculty of Engineering, at UCSI University. The project was completed with a concept design, a virtual prototype, and computer simulation of the robot. © 2021 IEEE.
ABSTRACT
Nowadays, vaccination plays the major role in controlling the death rates in COVID-19. However, certain people don’t have a trust on vaccines like Covaxin and Covishield. In order to make the decision on these vaccines like Covaxin and Covishield, decision support system (DSS) is necessary using machine learning approach. Many researchers find the supervised learning model gives best prediction among many machine learning models for COVID-19 situation. Supervised learning model has regression and classification models. Here, supervised machine learning models like logistic regression, decision tree and random forest are used to create a decision support system (DSS). With the use of this machine learning models, people can understand the uses of COVID-19 vaccines. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.