Transfer Learning for Spatial Temporal Modeling of Air Quality Data in Under-Resourced Areas

Cross-lingual Transfer and Multilingual Learning for Detecting Harmful Behaviour in African Under-Resourced Language Dialogue

Most harmful dialogue detection models are developed for high-resourced languages. Consequently, users who speak under-resourced languages cannot fully benefit from these models in terms of usage, development, detection and mitigation of harmful dialogue utterances

Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions

Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations

Urban air pollution is a public health challenge in low- and middle-income countries (LMICs). Howeve

Analysis and evaluation of comparable corpora for under resourced areas of machine translation

Explainable PSO-optimised machine learning models for multi-pollutant air quality forecasting in major African cities with transfer learning

Poor air quality is responsible for deaths, particularly in African cities, where rapid urbanisation

Early Childhood Teachers’ Lives in Context: Implications for Professional Development in Under‐Resourced Areas

Abstract This study explores the personal, professional, and contextual conditions faced by early c