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Deep learning techniques have become vital in many fields in the modern era because they are excellent at analysing and predicting real big data to act in different situations. Although it is marvellous in many aspects, it is prone to misinterpretation of data, so teams of experienced specialists cannot be dispensed with in following up on the execution stages of data analysis. Convolutional Neural Network is one of the most significant deep learning techniques. It is widely employed in visual image analysis. In this article, R-CNN and Fast R-CNN are summarised and compared and are the best in image analysis. This article concluded that the most suitable performance is for Fast R-CNN in testing and training.
Cloud computing has become an emerging IT platform for productive services and efficient use of innovation in higher education. The purpose of this research study is to investigate the factors that influence the adoption of cloud computing in Sub-Saharan Africa under Ethiopian higher education. These factors professed to influence the adoption of cloud computing built on the integrated framework of technology-organization-environment (TOE) framework, diffusion of innovation (DoI) theory, and sociocultural theory. In-depth interviews have been taken with the University of Gondar key professionals in Ethiopia to accomplish this research study. The results show that the organisational factors are more influential factors than the technological, environmental, and sociocultural factors to the adoption of cloud computing (CC) in the Ethiopian higher education (EHE) sector. This qualitative study aids researchers and practitioners in the field of IT technology cloud to employ these key factors suggestive to cloud computing adoption in the higher educational institutions.
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