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M-Learning Adoption Among Open and Distance Learners in Nigeria
Abstract: The perennial challenge of infrastructural deficits has continued to haunt higher educational development in developing economies of the world. Citizens have resulted to the ‘jakpa phenomenon’ in search for quality and accessible education. Coincidentally, as smartphones continue to swiftly penetrate all continents of the world, a sound understanding of users’ adoption intentions remain critical
Enhancing Classification in Imbalanced Symbol Engineering Drawings using Affine 2D Geometric Transformation
Abstract In the design of smart cities, the digitisation of engineering symbols ensures that accurate intelligent systems can be deployed. Errors, resulting from the inability of humans to accurately read and analyse manual engineering symbols often lead to catastrophic consequences. However, the digitised engineering symbols come hampered with the class imbalance problem. Some recent publications
Explorative Analysis on Email Spam Filtering Sampling a Deep learning and non-deep learning algorithm
ABSTRACT Email spam includes unwanted emails with tendency of causing harm to the receiver. Addressing this gave rise to spam detection and filtering. While several deep learning and non-deep learning algorithms have been applied for email spam filtering with different data for each of the research, this paper is geared towards combining most of these
Inclusive Education of The Digitally Neglected Population Through Smart Education for Economic Development in Nigeria
ABSTRACT The role of education is to increase human capital, that is; improved knowledge base and to increase creativity generally in the population which further makes the nation wealthy. The work concentrated on the digitally neglected population (DNP) where most of them are engaged in basic and low-level agricultural businesses as farming or traders of
An Expert System For Malaria Management Using Fuzzy Logic
ABSTRACT Malaria has been identified as a significant threat to human life, resulting in millions of deaths each year and hindering economic progress. Many countries, especially in Africa and Asia, invest considerable resources and time to combat the disease. The high mortality rate associated with malaria has often been attributed to the shortage of medical
Boosting Nigeria’s Foreign Exchange Earnings: Unlocking New Revenue Streams through Artificial Intelligence-Driven Multimedia-Based Smart Tourism
ABSTRACT Nigeria, a country highly reliant on oil exports, is looking for new revenue streams as global oil prices fluctuate, and the economy has to diversify. This article proposes leveraging AI and big data analytics to increase tourism growth. Specifically, we recommend using AI multimedia data labelling to train computer algorithms that can power innovative
Comparative Study of K-Nearest Neighbour and Random Forest Machine Learning Algorithms for Spam Email Classification
Abstract: Communication via email remains one of the cheapest and fastest means of communication in our society. An increase in the number of people who use email to send and receive messages has led to a subsequent increase in email spam. Email spam is a prevalent issue we face in our society to date. Spam
Curated Big Data for Supervised Machine Learning: A Case of Malaria Indicator and Demographic Health Surveys Data
Abstract: Quality data remains an indispensable asset of data driven models required for solving analytical problems using machine learning tools and techniques. However, raw data is characterized by feature dependency, class imbalance, outliers, missing data, and so on, which oftentimes degrade the performance of machine learning models. To improve the quality of data for machine
An Effective Model for Diabetes Prediction Using Wrapper Technique
Abstract: The eighth most common cause of elevated death rates in emerging nations is diabetes. When it is not appropriately monitored, it may develop into more severe, complex illnesses. Deficiency or ineffective insulin production is the major cause of diabetes and it has no permanent cure. Medical practitioners sometimes advise a healthy balanced routine, exercise,
