https://cris.library.msu.ac.zw//handle/11408/326 Sat, 11 Apr 2026 05:11:49 GMT 2026-04-11T05:11:49Z https://cris.library.msu.ac.zw//handle/11408/3994 Title: Relating mathematics to machine learning through algorithm development for development for big data analysis Authors: Chirisa, Diamond Takudzwa Abstract: Data has increased at an exponential rate and has outpaced our capability to analyze it. However, new ways of data analysis, which thrive in big data such as Machine Learning (ML) have emerged. This study explores Machine Learning by creating a Machine Learning algorithm based on Support Vectors. This was done by converting mathematical formulations into a computer algorithm that was then used for data classification. The algorithm was evaluated and compared to other algorithms. The results of the evaluation show that the algorithm was accurate at binary classification. Comparisons to other algorithms using both the iris and breast cancer datasets show that algorithms based on Support Vectors are generally more accurate at data classification. This means that the approach that was used in this study can be used in businesses to determine whether a person will return loan or not or whether a particular student can finish a degree program or not based on past data. The study also indicated that Support Vector Machines algorithm training require more computing power as data gets bigger. Hence, it suggested use of high performance computing for big data analysis. Sun, 01 Jan 2017 00:00:00 GMT https://cris.library.msu.ac.zw//handle/11408/3994 2017-01-01T00:00:00Z Chirisa, Diamond Takudzwa https://cris.library.msu.ac.zw//handle/11408/3898 Title: Heat mass transfer with chemical reaction of an exponnetially stretching stenosed artery Authors: Majiri, Thandiwe Abstract: The laminar boundary layer flow in an exponentially stretching stenosed artery immersed in viscous and incompressible blood is investigated along with the effect of a chemical reaction. Many researchers have used mathematical modelling to predict blood flow through stenosed arteries. Pressure, shear stress and velocity are the parameters that have been analysed in the past. Not a lot of work has been done to highlight the effect of heat transfer on an exponentially stretching stenosed artery with a chemical reaction effect. In this research, stenosis is defined as a condition whereby arteries abnormally narrow. The ability to describe the flow of blood through a stenosed artery provides the possibility of diagnosing the related diseases even before they become clinically relevant. The governing partial differential boundary layer equations in Cartesian Co-ordinate form are first transformed into ordinary differential equations which are then solved by the Runge-Kutta and Shooting methods using the Matlab software package. Potential improvements to previous models have been made by the inco-operation of the effect of exponential stretching of the stenosed artery as blood flows and also by including the effect of a chemical reaction to blood flow. The researcher has come to conclude that the dimensionless temperature field depends on thermal diffusivity (α), the heat component (η) and the dimensionless (U0.D0)/ Re. U0 is the stretching velocity, D0 represents the length of the stenosed portion and Re is the Reynolds’ number. Also, chemical reactions mostly caused by foreign substances to the body, generally lower the flow of blood in arteries. The effects of asymmetric stenosis in a realm of the arterial plaque may be useful for early detection of cardiovascular diseases. Hence the researcher recommends that people take low fat and cholesterol diets as these highly lead to stenotic conditions. Stenotic conditions lead to diseases such as Athesclerosis, Coronary heart disease and high blood pressure. Sat, 01 Jun 2013 00:00:00 GMT https://cris.library.msu.ac.zw//handle/11408/3898 2013-06-01T00:00:00Z Majiri, Thandiwe https://cris.library.msu.ac.zw//handle/11408/3239 Title: The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital Authors: Mazibisa, Kudakwashe Abstract: Malaria is endemic in Sanyati, accounting to approximately 3000 patients both outpatient attendance and admissions diagnosed of the disease yearly and 15% of all hospital deaths. The research analyzed the efficacy of prognostic risk factors in classifying malaria patients into low and high risk groups using discriminant analysis: a case study of Sanyati Baptist Hospital. Secondary data was extracted from the inpatient morbidity and mortality register available in the information department from 1st of January 2013 to 31st December 2015. The results showed that prognostic factors that are age, distance, referral status, disease comorbidity were important predictors of malaria mortality and patient survival. However, it was found that the prognostics risk factors; gender, site of residence and number of reported symptoms were not good predictors of predicting whether a patient is in the high or low risk class. It was recommended, among other things that the hospital executives should implement the patient classification system to reduce malaria related deaths through effective distribution of scarcity drugs and doctors at Sanyati Baptist Hospital. Sun, 01 Jan 2017 00:00:00 GMT https://cris.library.msu.ac.zw//handle/11408/3239 2017-01-01T00:00:00Z Mazibisa, Kudakwashe https://cris.library.msu.ac.zw//handle/11408/2208 Title: Split-split plot design analysis, in exploring the efficacy of plants as natural measures, (biocides) of maize stem borer control Authors: Ziwakaya, Paul Kundai Abstract: In this paper, comparison between the use of botanical methods of pest control and dipterex 25% grounded in controlling maize stem borer was done. An experiment was carried out at Midlands State University main campus during the rainy season of 2015-2016. A split-split plot design was used with two nitrogen levels as whole plot factor (0kg/ha and 100kg/ha), two varieties of maize as subplot factor (SC627 SeedCo and Pioneer 30G95) and six treatments of maize stem borer control methods as sub-subplot factor (lantana camara leaves extract, lantana camara flowers extract, euphorbia flesh extract, euphorbia fruit extract, dipterex 25% granular, and a control with nothing applied). Model assumptions diagnostic checking was performed and all the assumptions were satisfied. Analysis was done using Genstat version 14 and the results showed that all the biocides perform better with lantana leaves being the most effective. Interactional effect of nitrogen (100kg/ha), maize variety (Pioneer 30G95) and lantana leaves was an effective combination that includes botanical methods of pest control. Wed, 01 Jun 2016 00:00:00 GMT https://cris.library.msu.ac.zw//handle/11408/2208 2016-06-01T00:00:00Z Ziwakaya, Paul Kundai