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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,
Performance Evaluation of LTE And WiMAX Throughput Networks
Abstract: The Long Term Evolution (LTE) and worldwide Interoperability for Microwave Access (WiMAX) Technologies offer a long term solution to the Broadband wireless communication in the last decade. Each type of application needs a certain level of service commitment from LTE and WiMAX Networks in order to operate successfully. There are a number of factors
A Smart Fishpond Water Quality Monitoring and Control System
Abstract: Measuring and controlling Fishpond water quality is a significant challenge in fish farming, especially in Africa, and has posed unexpected loss and poor yield, thereby increasing the demand for supply of fish in many African countries. Various factors, such as untimely or inefficient measurement and control of water quality parameters, availability of water, environmental
A Review of Smart Health Care for a Secure and Sustainable Nation: An Implication on Nigeria
Abstract: A secure and sustainable nation is a complex concept that needed to be approached from diverse and various dimensions of the nation economy. This paper reviews smart health care as a desirable component required for a secure and sustainable nation. The review focused on the concept of smart health care, the requirements for smart
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Predicting Cloud Computing Adoption in IoMT Using Deep Learning Approach
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Ensemble Intelligent Agent Model for Detection of ATM Card Frauds in Nigeria
1 file(s) 880.23 KB