12 publication(s) trouvée(s)
Article scientifique
A cognitively inspired feature-level fusion framework for interpretable retail sales forecasting using integration of extreme gradient boost machine, artificial neural network and attention mechanism model
Introduction: Accurate retail sales forecasting in modern data-intensive environments requires models that not only achieve high predictive accuracy but also …
Article scientifique
Using artificial intelligence to improve governance and public services in Africa
African governments continue to face persistent challenges in delivering efficient, transparent, and inclusive public services due to institutional constraints, rapid …
Article scientifique
Adaptive class-aware feature selection for high-dimensional and imbalanced multi-class network intrusion detection
High-dimensional feature spaces and severe class imbalance remain fundamental challenges for Machine Learning-based Network Intrusion Detection Systems (ML-NIDS), where minority …
Article scientifique
An empirical test of antecedents and perceived performance of big data analytics in telecommunication companies
The emergence of Data concepts, sources, types, and analysis mechanisms has changed dramatically in recent years. Nowadays, big data analytics …
Article scientifique
Data-driven adaptive hybrid models for exchange rate return forecasting
Background Exchange-rate return forecasting is challenging because financial time series may exhibit linearity, nonlinearity, regime-switching behavior, and volatility. To address …
Article scientifique
HK-DeepIV: heat-kernel geometric diagnostics and early-warning signals for curvature-induced interference in financial correlation networks
Financial correlation networks under infrastructure shocks undergo curvature-driven interference that standard estimators cannot detect. This study introduces Heat-Kernel Deep Instrumental …
Article scientifique
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers
In the face of increasing cyberattacks, Structured Query Language (SQL) injection remains one of the most common and damaging types …
Article scientifique
Enhancing intelligence source performance management through two-stage stochastic programming and machine learning techniques
Introduction: The effectiveness of intelligence operations depends heavily on the reliability and performance of human intelligence (HUMINT) sources. Yet, source …
Article scientifique
A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa
Introduction: Vaccination is critical for reducing childhood mortality, yet completion rates for the third dose of the pentavalent vaccine (Penta …
Article scientifique
Big data and personal information privacy in developing countries: insights from Kenya
The present study examined the correlation between big data and personal information privacy in Kenya, a developing nation which has …
Article scientifique
Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub
Background: Longitudinal studies are essential for understanding the progression of mental health disorders over time, but combining data collected through …
Article scientifique
Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa
The COVID-19 pandemic starting in the first half of 2020 has changed the lives of everyone across the world. Reduced …