ABSTRACT Malaria is mostly a disease that is transmitted by the bite of an infected female Anopheles mosquitoes and it affects people mostly in tropical and subtropical countries. Although, previous researchers have tried sourcing for solution to this illness using symptomatic apparatuses, such as Rapid Demonstrative Tests (RDTs), but the study still prove that they
ABSTRACT In this study a comparative analysis of three machine learning models, Decision Tree (DT), Support Vector Machine, (SVM), and Neural Network (NN) were compared to predict and forecast the number of fruits per tree or an accession of Irvingia Gabonesis at every season for farmers to plan adequately for future harvest and to forestall
ABSTRACT Currency recognition is vital for banking automation, accessibility support for visually impaired individuals, and counterfeit detection. In Nigeria, the need for a robust, locally optimized mobile-based currency detection system is particularly significant due to the increasing use of smartphones and the threat of counterfeit currency. This research is focused on developing and implementing a deep learning-based mobile
ABSTRACT In this paper, I would have enhanced the efficiency of Foreign-Students Tuition Fee Payment Gateway System by providing a better Software Design Process and developing PGateway System using Web Application to solve the problem. In order to reach this purpose, research questions related to web applications and the category of student tuition fee payment
ABSTRACT With the recent interest in cryptocurrencies such as bitcoin, blockchain technology has become popular with its various applications. Unfortunately, oftentimes, hackers secretly extort victims’ resources, such as the Central Processing Unit (CPU), to mine cryptocurrencies through an attack called Cryptojacking. Specifically, browser-based cryptojacking has tremendous severity as it is perpetrated by visiting a website
ABSTRACT Nigeria faces a critical maternal health crisis, with a maternal mortality rate of 512 deaths per 100,000 live births – among the world’s highest. This dreadful situation stems from inadequate healthcare infrastructure, limited access to skilled care, and socioeconomic barriers. While several studies have employed machine learning techniques like Random Forest and SVM for
ABSTRACT This study investigates the impact of Generative AI (GenAI) tools on students’ confidence and competence in programming education. Using a quantitative approach to statistically analyse data from a survey of 485 students at a higher education institute in Nigeria based on a hybrid framework of the Social Cognitive Theory (SCT) and the Technology Acceptance
ABSTRACT Information Technology (IT) has greatly transformed the education landscape in Nigeria. Despite the different challenges and bottlenecks being experienced by stakeholders in deploying these tools and infrastructure, some institutions have recorded success in its implementation. This research is focused on comparing how Information Technology has impacted on the three (3) sectors of education (Primary,
ABSTRACT Cloud computing is a significant opportunity to revolutionize Nigeria’s public sector, yet government implementation across government institutions is fragmented. This position paper examines the root impediments—ranging from institutional fragmentation to regulatory resistance—that limit cloud integration in Ministries, Departments, and Agencies (MDAs). Drawing from comparative worldwide strategies and regional policy analysis, the paper proposes a
ABSTRACT This systematic review evaluates how emerging technologies can strengthen Nigeria’s social protection systems, which struggle with exclusion errors, inefficiencies, and data gaps. Analysing 57 studies (2018–2023), it finds machine learning improves poverty targeting (83% accuracy in cases like Jordan) but risks bias in diverse contexts. Blockchain enhances cash transfer transparency (28% fraud reduction), though