-
Analysing rural and urban differences in modern cooking energy use in Somalia using the Fairlie decomposition method
-
Solar photovoltaic fault classifications under normal and shading conditions using machine learning models
-
Female STEM lecturers as role models are associated with STEM self efficacy engagement and career aspirations among female students in Somalia
-
Climate change and security in Somalia evidence from a fragile and climate vulnerable state
-
IPSAS adoption associations with perceived financial reporting quality and institutional sustainability in the fragile state context of Somalia
-
Women’s political participation and service delivery in Mogadishu Somalia from a human rights based perspective
-
Multi-temporal modelling and projection of land use/land cover dynamics in the Dechatu River Catchment, Ethiopia using Google Earth Engine and machine learning
-
Using machine learning models to study the magnitude and associated factors of road traffic accidents among bus drivers in Marodijeh Region, Somaliland
-
Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning models
-
Machine Learning and Geospatial Modeling of Climate Change Impacts on Ethiopian Honeybees for Conservation and Resilient Agriculture
-
Atmospheric dispersion modelling at the London VAAC: development of quantitative and probabilistic volcanic ash forecasts
-
Cyberinfrastructure to support ecological forecasting challenges
-
Retrieval of rice biophysical parameters from Sentinel‑2 using parsimonious multi‑output machine learning
-
Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands
-
A systematic review on machine learning deep learning and IoT for water quality prediction
-
Artificial Neural Network forecasting of carbon dioxide emissions in India using socioeconomic and environmental determinants
-
Integrative Analysis of Abiotic Stress–Responsive Genes in Soybean Using Differential Gene Expression and Validation With Machine Learning
-
Mitigation of human cognitive bias in volcanic eruption forecasting
-
High-resolution, multi-depth mapping of soil bulk density and pH in China's forests using machine learning
-
The role of perceived tax knowledge and tax education exposure, trust in government and perceived tax fairness in voluntary tax compliance among SMEs in Mogadishu, Somalia
-
Machine learning model based analysis of land use land cover change and assessing its potential impact on surface runoff in meki watershed, rift valley lakes basin, Ethiopia
-
Machine learning and geospatial modeling of forest loss, drivers, and risk areas: advancing continuous cover forestry as a nature-based solution
-
Predicting Daily Cardiovascular Emergencies Using Weather and Air Quality Data: A 23‐Year Machine‐Learning Analysis in Taiwan
-
Associations of ChatGPT familiarity, student perceptions and learner digital literacy with perceived effectiveness and self-reported academic writing proficiency among university students in Mogadishu Somalia