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Using Machine Learning Technique to Detect SMEs Tax Frauds in Nigeria
ABSTRACT: Tax fraud in Nigeria is on the increase and has led to the international community rating of Nigeria as one of the developing countries with a high rate of tax fraud; small and medium enterprises (SMEs) inclusive. Due to lack of introduction of advancements in technology to the SMEs taxation, government has lost most
Smart Monitoring System for Detection of Vandalism of Oil and Gas Pipeline
ABSTRACT: Pipeline infrastructure is one of the major means of transporting fluids, especially hydrocarbons; oil and gas resources in Nigeria, in which unresolved problems in pipeline facilities and their operations could result into unimaginable economic loss, environmental pollution and degradation, and loss of human lives. These problems majorly include theft of pipeline content and terrorism
A Review on Attack Landscape and Cybersecurity Challenges in Implementing Smart Education
ABSTRACT: Modern technologies such as cloud computing, AI-driven systems, and IoT devices, have completely changed the traditional learning methodologies integration of Smart education initiatives. However, a wide range of intricate cybersecurity issues are raised by this digital revolution, endangering the confidentiality and integrity of educational data and resources. A review of the attack landscape and
Cyber Security Risk Assessments, Compliance and Violations: A Systematic Review of The Intervening Role of Top Management in Organizations
ABSTRACT: Study on how managers respond to cyber security breaches has focused on exterior activities, such as customer service and crisis management. An internal breach inside the organisation might indicate more severe challenges, and a narrow emphasis on addressing immediate issues with technological solutions and controls may impede the implementation of broader managerial measures to
Implementing Machine Learning Techniques for Artificial Neural Networks in 5G Network Quality of Service Management
ABSTRACT: 5G-New scenario transparency in communication between various types of networks that are interconnected is expected in radio multimedia. A prevalent issue across all these diverse platforms is the equitable distribution of the restricted network resource among rival apps. A transcendent measure of how equitably properties are distributed to end-users is called Quality of Service
Improving Food Security in Nigeria Through Smart Agriculture: A Case Study of Rice Leaf Disease Classification
ABSTRACT In Nigeria, Agriculture has been the source of livelihood yielding sustainable development across the country. However, Agricultural System in Nigeria has been jeopardized by lack of automated and smart system of agricultural operations but this paper tends to proffer solutions through Smart Agriculture. This paper aims to develop rice leaf disease classification model that
Progressive Web Application for Seamless Primary Healthcare Delivery in Nigeria
ABSTRACT: This project presents the development of a Progressive Web Application (PWA) aimed at enhancing access to primary healthcare in Nigeria, using the FUTO Medical Centre as a case study. Drawing on actor-network and socio-technical theories, as well as Object-Oriented Analysis and Design Methodology (OOADM) and Unified Modeling Language (UML), the architecture was designed to
Charting the Course: A Bibliometric Exploration of Blockchain Traceability Systems
ABSTRACT: The emergence of blockchain technology, originally linked with bitcoin, has garnered significant academic and industrial interest due to its potential applications in supply chain management, tackling traceability issues. This study performs a thorough bibliometric analysis of 828 publications from 2016 to August 2023, sourced from Scopus, focusing on blockchain-based traceability systems (BTS). Unlike previous
Ensemble-Based Predictive Model for Crop Recommendation
ABSTRACT: Farmers frequently face the challenge of choosing the best crops for their specific locations to improve production and profitability. This paper developed a prediction model that uses stacking ensemble approaches to address this issue. The study involves the use of a correlation matrix to analyze secondary data obtained from Kaggle. The data was utilized
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Ensemble Intelligent Agent Model for Detection of ATM Card Frauds in Nigeria
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Predicting Cloud Computing Adoption in IoMT Using Deep Learning Approach
1 file(s) 1,002.72 KB