ABSTRACT The digital economy has transcended its role as a secondary sector to become the primary engine for high-quality economic growth. For developing nations, adopting a structured, data-driven growth model is no longer a luxury but a strategic necessity to avoid permanent marginalisation from the global economy. Therefore, it is imperative to understand how developing
ABSTRACT We present LinkedList-BART, an improvement to the chunk-based BART summarizing technique that dynamically manages sentence chunks using a linked-list data structure. In contrast to static chunking techniques, our method allows for efficient O(1) chunk insertion, deletion, and reorganization by representing sentence fragments as nodes in a linked list. By allowing adaptive chunk splitting or
ABSTRACT Malaria remains a leading cause of mortality in sub-Saharan Africa. While manual microscopy of Giemsa-stained blood films is the diagnostic gold standard, it is labor-intensive and prone to variability.Deep learning, particularly convolutional neural networks (CNNs), has shown strong potential for automated malaria diagnosis; however, clinical translation in African settings remains limited. This systematic review,
ABSTRACT Entrepreneurship education has been introduced in Nigeria as an intervention that signposts the socio-economic development of the country. The curriculum, delivery, implementation and operation of this intervention have become a constant discourse in most extant literature. In recent times, the adoption of digital marketing and other technological advances have been discussed to improve the
Abstract Financial inclusion remains an essential enterprise in many developing economies, especially in sub-Saharan Africa where a large proportion of the population lacks access to formal economic services. This study presents a machine learning framework for predicting economic inclusion using demographic, social and monetary records. Three models K-Nearest Neighbors (KNN), Random Forest (RF), and an
ABSTRACT Industrial M2M communication requires security coordination with three properties jointly unmet by existing systems: (R1) bounded-latency finality (<50 ms), (R2) multi-stakeholder governance preventing unilateral action, and (R3) resilience to intelligent insider non-reporting. This paper derives an architectural specialization of permissioned blockchain that satisfies these requirements through contextual validator eligibility and evidence-embedded transactions. Unlike prior
ABSTRACT Concurrent programming has become fundamental in modern software systems due to the widespread use of multicore processors. However, it introduces data race conditions, which remain one of the most difficult concurrency defects to detect because of their non-deterministic behaviour and complex thread interactions. Existing static and dynamic analysis techniques often suffer from high false-positive
ABSTRACT Agriculture is a vital component of Nigeria’s economy, yet the sector undergoes persistent rejection of its exports due to non-compliance with global food safety standards. This study deals with the limitations of manual, reactive quality monitoring by developing AgricQual, an intelligent decision-support system that predicts export compliance for Nigerian agricultural commodities. Adopting a Design
ABSTRACT Several metaheuristics algorithm (MA) such as Particle Swarm Optimization (PSO), Salp Swarm Algorithm (SSA) and Marine Predators Algorithm (MPA) have been considered in optimizing Feature Selection (FS) process. MPA as a recent and efficient population based MA has limitations in FS tasks with regards to its exploration/exploitation phase imbalance. This led to the development
Abstract Machine Learning (ML) is an essential tool in clinical decision-making, particularly for prognosis and diagnosis. This study systematically reviews literature on ML models and ensemble learning techniques for predicting Hepatitis B virus (HBV), adhering to PRISMA guidelines. Ensemble learning combines various ML models for improved accuracy, yet concerns persist regarding the number and types