Analysis and forecasting the outbreak of Covid-19 in Ethiopia using machine learning (Published)
Coronavirus outbreaks affect human beings as a whole and can be a cause of serious illness and death. Machine learning (ML) models are the most significant function in disease prediction, such as the Covid-19 pandemic, in high-performance forecasting and used to help decision-makers understand future situations. ML algorithms have been used for a long time in many application areas that include recognition and prioritization for certain treatments. Too many ML furcating models are used to deal with problems. In this study, predict a pandemic outbreak using the ML forecasting models. The models are designed to predict Covid-19, depending on the number of confirmed cases, recovered cases and death cases, based on the available dataset. Support Vector Machine (SVM) and Polynomial Regression (PR) models were used for this study to predict Covid-19 ‘s aggressive risk. All three cases, such as confirmed, recovered and death, models predict death in Ethiopia over the next 30 days. The experimental result showed that SVM is doing better than PR to predict the Covid-19 pandemic. According to this report, the pandemic in Ethiopia increased by half between the mid of July 2020. Then Ethiopia will face a number of hospital shortages, and quarantine place.
Keywords: COVID-19, Forecasting, coronavirus, machine learning, polynomial regressing, support vector machine
Machine Learning Based Approach to Simulate Drone Dynamics Related to Figure of Eight Maneuvering Pattern (Published)
Drone will be a commonly use technology used by major portion of the society and simulating a given drone dynamic will be an important requirement. There are drone dynamic simulation models to simulate popular commercial drones. There are many proposed drone dynamic models with the base of Newtonian and fluid dynamics. Hoverer these models consist of many model parameters and it is impracticable to evaluate required model parameters to simulate a given drone. If there is a simple mechanism to built machine learning based drone dynamic model to simulate a any given drone then it is address most of the above issues. Figure of eight maneuvering pattern or its derivative is used in many activities in the domains of aviation, maritime and ground vehicle. Hence, proposed approach and conducted experiments presents the process of developing a machine learning based drone dynamics simulation related to a figure of eight maneuvering pattern
Keywords: Done, Simulation, machine learning, maneuvering