Browse Items (183 total)

  • Collection: Faculty of Computing and Information Systems

Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images.pdf
Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning…

1-s2.0-S2352914824000078-main.pdf
Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning…

4-1-100-227.pdf
Capital structure is actually a mix of different securities. The importance of capital structure cannot be over emphasized since it impacts on firm’s value. Capital structure choices have had significant impacts on shareholders wealth. The study…

sensors-22-06176.pdf
Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management. The inability of extant waste bins to facilitate…

This research studied the trend of performance of Manchester United Football Club in the 1960-2013 English premiership seasons. The three main variables involved in this study are the number of games won, games drawn and games lost by Manchester…

The issue of sex determination (before conception) is beyond the study of Science. Though current studies have developed means to determine gender, it is not until the baby has been conceived. After conception, scientific methods can be used to…

Negative stereotypes about physically challenged people result in discriminatory social policies which in turn reinforce or confirm negative attitudes that greatly affects them as they strive to function in the society, these problems create some…

This paper explores four Item Response Theory (IRT) models to determine the most appropriate for understanding item non-response. The selected IRT model was used to identify among five categories of survey questions, the most difficult to answer by…

After reviewing the theoretical and empirical literature on Item Response Theory (IRT) and Item-non response, this study investigates three issues: Firstly, to identify the most appropriate IRT model for understanding item-non response...
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