Dennis K. Muriithi

Verified

Dennis verified their affiliation via an institutional email.

Learn more

Verified

Dennis verified their affiliation via an institutional email.

Learn more

• PhD
• Professor at Chuka University

Deep learning has transformed artificial intelligence (AI), yet fairness concerns persist due to biases in training datasets. ImageNet, a key dataset in computer vision, contains demographic imbalances in its "person" categories, raising concerns about biased AI models. This study is to examine these biases, evaluate their impact on model performan...

The article aims to develop interpretable Machine Learning models using R statistical programming language for malaria risk prediction in Kenya, emphasizing leveraging Explainable AI (XAI) techniques to support targeted interventions and improve early detection mechanisms. The methodology involved using synthetic data with 1000 observations, employ...

Deep learning has transformed artificial intelligence (AI), yet fairness concerns persist due to biases in training datasets. ImageNet, a key dataset in computer vision, contains demographic imbalances in its "person" categories, raising concerns about biased AI models. This study is to examine these biases, evaluate their impact on model performan...

The adoption of digital banking channels has gained significant importance in recent years. Although extensive research highlights the benefits of individual digital banking services, few studies have investigated their collective impact on bank performance, especially in developing countries like Kenya. This study examines the impact of digital ba...

The increasing use of digital banking channels has transformed the financial landscape globally, including in Kenya. While digital banking is believed to enhance financial sustainability, the role of financial inclusion in explaining this relationship remains unclear. Previous studies have examined the impacts of digital banking and financial inclu...

Groundnut production faces several constraints, including poor soil fertility, small land sizes, and inappropriate agricultural techniques. The study aimed to optimize groundnut (Archis hypogeal) yield using response surface methodology (RSM). It explored the use of CCD and RSM to determine the optimal application of rabbit, poultry, and sheep manu...

The outpatient department (OPD) is the first point of contact in all hospitals, and patients create opinions about the hospital based on the quality of service they receive at OPD. The purpose of the study is to develop a Statistical model to forecast outpatient attendance at Marimanti Level 4 Hospital using SARIMA modeling. Monthly outpatient visi...

Most developing Africa countries have a high need for capital projects that requires a lot of government spending and attention. However, it is unfortunate that in Kenya, borrowed cash intended for capital projects is diverted to recurrent requirements putting a damper on national investment in viable projects. This poses a significant threat to th...

For many years' malaria has been a health public concern in Kenya as well as many parts of Africa and other parts of the world. The purpose of this study is to develop and evaluate a supervised machine learning model to predict malaria occurrence (final malaria test results) in Kenya. The study investigated twelve predictor variables on the outcome...

Short-term capital flows that are continuous have two disadvantages. Although they are attractive to investors, their tendency toward volatility and reversals increases the possibility of causing instability in the macroeconomy. There's little question that Kenya's open account policy and Vision 2030 goals will attract more short- and long-term inv...

Modelling and forecasting the volatility of a financial time series has become essential in many economic and financial applications like portfolio optimization and risk management. The symmetric-GARCH type models can capture volatility and leptokurtosis. However, the models fail to capture leverage effects, volatility clustering, and the thick tai...

Kenya has experienced effects of climate change because most of the arable land is rain-fed yet the economy is dependent on agriculture. Climate change greatly affects crop production and has constrained legume yield globally. Green gram is an important and appropriate legume for Arid and Semiarid Lands (ASALs) as a source of livelihood yet climate...

Exchange rate volatility has received much attention in economic research especially with the advent of floating exchange regimes. The volatile nature of exchange rate is generally perceived as having negative affect on international trade. However, the theoretical and empirical perspective are mixed on the nature of the relationship. This study ai...

Price instability has been a major concern in most economies. Kenya's commodity markets have been characterized by high price volatility affecting investment and consumer behaviour due to uncertainty on future prices. Therefore, precise forecasting models can help consumers plan for their expenditure and government policymakers formulate price cont...

The aim of this paper was to apply Principal Component Analysis (PCA) and hierarchical regression model on Kenyan Macroeconomic variables. The study adopted a mixed research design (descriptive and correlational research designs). The 18 macroeconomic variables data were extracted from Kenya National Bureau of Statistics and World Bank for the peri...

Time series modeling and forecasting techniques serve as gauging tools to understand the time-related properties of a given time series and its future course. Most financial and economic time series data do not meet the restrictive assumptions of normality, linearity, and stationarity of the observed data, limiting the application of classical mode...

Price stability is the primary monetary policy objective in any economy since it protects the interests of both consumers and producers. As a result, forecasting is a common practice and a vital aspect of monetary policymaking. Future predictions guide monetary and fiscal policy tools that that be used to stabilize commodity prices. As a result, de...

Response Surface Methodology (RSM) is a critical technology in developing new processes, optimizing their performance and improving the design. In Kenya, watermelon cultivation is gradually gaining ground. It is a crop with huge economic importance to man as well as highly nutritious, sweet and thirst- quenching. In order to increase crop productio...

This paper discusses the use of Central Composite Design approach to plan the experiments for growth and yield of watermelon with an overall objective of optimizes the multiple responses of watermelon to organic manure. Response Surface methodology (RSM) has been adopted to express the output parameters (responses) that are decided by the input pro...

Debt financing is the acquisition of funds through borrowing. Most Sacco's results into borrowing to finance their increased customer's demands thus increasing the leverage if not controlled. This study determined the effects of debt finance on financial performance measured ROE. The study investigated the effect of interest rate, loan tenure, debt...

One of the Millennium Development Goals is the reduction of infant and child mortality by two-thirds by year 2015. To achieve this goal, efforts need be concentrated at identifying cost-effective strategies as many international agencies have advocated for more resources to be directed to health sector. One way of doing this is to identify the impo...

The Author investigates the operating conditions required for optimal production of potato tuber yield in Kenya. This will help potato farmers to safe extra cost of input in potato farming. The potato production process was optimized by the application of factorial design 2 3 and response surface methodology. The combined effects of water, Nitrogen...

The Author investigates the operating conditions required for optimal production of potato tuber yield in Kenya. This will help potato farmers to safe extra cost of input in potato farming. The potato production process was optimized by the application of factorial design 2 3 and response surface methodology. The combined effects of water, Nitrogen...

Modelling and forecasting the Kenyan economy is a vital concern. In this paper, the annual gross domestic product (GDP) is forecasted using autoregressive integrated moving average models (ARIMA) so as to determine the most efficient and adequate model for analyzing the Kenyan GDP. The study

Results from Kenya National Examination Council (KNEC) indicate that there are schools that have had an upward trend in performance while others have continued to show a decline. This paper seeks to find out the principal components, in terms of subjects, that contribute to this performance. Principal Component Analysis (PCA), a data reduction proc...

A comprehensive deterministic HIV/AIDS transmission model incorporating social behaviour, treatment, vaccination, stages of infection, age structures, discrete time delay and vertical transmission is presented and rigorously analyzed. Two age structures are considered with group one consisting of children aged (0-a) years and group two consisting o...

This paper looks into the allocations made by the Higher Education Loans Board (HELB) relative to the economic status of the student. In this paper, we modelled HELB loan application data from three public universities to determine whether the loan was allocated based on the needs of the respective applicants. The data was classified to consider th...

This paper examines two different methodologies to a classification problem of higher education loan applicants. The paper looks into the allocations made by the Higher Education Loans Board (HELB) relative to the economic status of the applicant. In this article, we modeled Higher Education Loans Board (HELB) loan application data from three publi...