ABSTRACT Knowledge silos present an ongoing challenge in managing food safety due to the variety of agencies, ministries and departments that are responsible for food safety in Nigeria, leading to a proliferation of overlapping regulations and regulatory agencies. This paper presents an extensible Knowledge Graph based on Nigerian Agency for Food and Drug Administration and
ABSTRACT Dynamic Time Warping (DTW) remains an important technique in the temporal alignment of speech signals and continues to play an important role in the application of Automatic Speech Recognition (ASR), pronunciation evaluation, and other speech technologies. This comprehensive review provides an extensive overview of the contemporary developments in DTW, ranging from the classical, Multiview,
ABSTRACT It is important to identify university students with authentic entrepreneurial potential, since that spurs innovation, enables self-employment, and helps the economy keep improving. Conventional statistical methods and many machine learning models either do not reflect the complex determinants of entrepreneurship or achieve very high prediction accuracy without clarifying the basis for their decisions. An
Abstract Agricultural productivity across sub-Saharan Africa continues to face severe constraints from crop diseases, which account for yield losses estimated at 20–40% annually in smallholder farming systems. Automated, timely disease identification presents a viable pathway to mitigating these losses, yet existing deep learning models demand computational resources that far exceed those available in rural field
ABSTRACT Intelligent tutoring systems (ITS) have evolved through four technical eras: symbolic, rule-based expert systems; Bayesian and statistical student modelling; deep learning knowledge tracing; and, most recently, LLM-based conversational tutors. Existing reviews examine these eras separately, or discuss the history at a pedagogical rather than technique level, without one consistent comparative framework. Following an adapted
ABSTRACT An Intelligent Tutoring System (ITS) is a subfield of Artificial Intelligence in education focused on teaching and learning. Teachers/lecturers are using ITS to provide customized educational materials to the students while students learn a particular domain of knowledge at their own desired time without human intervention. The main goal is to provide highly developed
ABSTRACT The development of autonomous robotic systems is becoming more and more important to improve the traffic flow and safety in contemporary transportation. This paper presents a design and implementation of an automated obstacle-detecting robotic vehicle that can avoid collisions in real-time. The system uses a 180° scanning mechanism with a servo motor, powered by
ABSTRACT Cardiovascular diseases (CVDs) are the primary cause of mortality worldwide. As such, the need for effective early prediction techniques is paramount. Machine Learning (ML) algorithms can be used to predict heart disease; however, their effectiveness greatly depends on the quality of the input features. This study investigates the use of different filter-based feature selection
ABSTRACT The growing disconnect between higher education institutions’ computer science curricula and the rapidly evolving demands of modern labour markets continues to pose significant challenges to graduate employability worldwide. This paper investigates how strategic curriculum reforms, digital skill integration, industry-aligned training programmes, and adaptive pedagogical approaches can better equip computer science graduates for productive careers
ABSTRACT This study presents a lightweight deep neural network–based framework for cervical image reconstruction to improve the reliability of mobile health (mHealth) image transmission under adverse wireless conditions. Using the AVIVA mobile application as a real-world case study, the proposed framework addresses major issues that are common in low-resource clinical settings, such as low-resolution image