336
Publications
1035
Auteurs uniques
3
Pays représentés
Afrique du SudGhanaÉthiopie

Publications

336 publication(s) trouvée(s)
Article scientifique
Prediction of incomplete vaccination among children aged 12-35 months in sub-Saharan Africa: Application of machine learning algorithm using recent (2021-2024) Demographic and Health Survey Data
Article scientifique
Compressed deepfake detection via GA-LASSO selection of deep features and machine learning models
In an era of advanced synthetic media, deepfake detection is challenged by high-dimensional feature spaces, compression artifacts, and poor generalization. …
Article scientifique
Comparison of AutoML frameworks for effective analysis in MAPE-K self adaptive systems
Abstract Typically, the MAPE-K (Monitoring, Analysis, Planning, Executing–Knowledge) loop represents the cornerstone of Self-Adaptive Systems (SASs). These systems require highly …
Article scientifique
KM-DBSCAN: an enhanced density and centroid based border detection framework for data reduction towards green AI
Green AI aims to design and train machine learning models while taking into consideration sustainable resource usage without sacrificing model …
Article scientifique
Towards Self-Defending SDN Infrastructures: Real-Time Honeypot-Enabled Botnet Detection Using ONOS
Modern Software-Defined Networks (SDNs), while benefiting from centralized programmability, remain vulnerable to fast-evolving botnet attacks. This paper presents and evaluates …
Article scientifique
A Hybrid Machine Learning and Signature-Based Approach for Detecting Network Pivoting in BYOD Environments
This study addresses the challenge of detecting network pivoting, a lateral movement technique that is difficult to identify in insider …
Article scientifique
Hierarchical forecasting of COVID-19 cases in Africa using machine learning models
Introduction: The COVID-19 pandemic posed significant challenges for public health systems, especially in Africa, where data scarcity, inadequate healthcare infrastructure, …
Article scientifique
Federated Mayfly Optimization for Privacy-Preserving Chronic Kidney Disease Diagnosis
Chronic kidney disease (CKD) is a globally pervasive and insidious health crisis, frequently escaping detection until its advanced stages, which …
Rapport d'évaluation
Review of: "Accuracy Without Profit: A Statistical Evaluation of Machine Learning Profitability in the English Premier League"
Article scientifique
Anomaly-resilient geofencing and predictive navigation in IoT environments using machine learning and federated learning for metaverse workplaces and smart shopping malls
The rapid convergence of physical and digital environments is redefining user interactions in both professional and retail sectors. While the …
Article scientifique
AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends
Predicting emerging trends is vital for businesses, researchers, and policymakers; yet traditional approaches often lack scalability and adaptability. This paper …
Article scientifique
Machine Learning–Driven Drug Optimization for Typhoid Fever Based on Patient Profiles
Abstract Introduction Typhoid fever remains a major Global public health concern, with treatment outcomes dependent on antimicrobial resistance (AMR) and …
Article scientifique
Convolutional Neural Network and GridSearch for Predicting Learner Performance in E-Learning
Predicting student performance earlier is among the most significant research areas in e-learning. Accurate prediction allows educators and stakeholders to …
Article scientifique
Yoruba Sign Language Digit Recognition System using Deep Convolution Neural Network and Machine Learning
Article scientifique
Association Rules Machine Learning complete intersection Calabi-Yau 5-Folds and 6-Folds
Article scientifique
Nigeria: The Gulf of Guinea’s Energy Hub – Mapping the Pathway
This research proposal investigates the impact of implementing a five-pillar HSSE-integrated framework known as PATHS (Protect, Advance, Trade, Harness, and …
Article scientifique
Theoretical investigation and practical validation of AI based fault detection in BJT amplifier circuits
Analog circuits are essential to electronic systems due to their variety of critical functions. Catastrophic faults, such as short- and …
Rapport d'évaluation
Peer Review Report For: Predicting determinants of modern contraceptive use among reproductive-age women in Ethiopia using machine learning algorithm: Evidence from the Performance Monitoring and Accountability (PMA) Survey 2019 dataset [version 1; peer review: 1 approved, 1 approved with reservations]
Introduction Globally, around 40% of women report unintended pregnancies, with approximately 214 million women in developing countries wanting to avoid …
Article scientifique
Application of Machine Learning in predicting intimate partner-based violence among reproductive age women in Rwanda
Article scientifique
Forecasting Nigeria’s Inflation Components Using Machine Learning and Econometric Models: A Comparative Analysis