Managing heat generation in lithium-ion batteries remains a major obstacle, as excessive temperatures and non-uniform thermal distribution can significantly undermine safety, operational efficiency, and service life. To mitigate these challenges, thi... read more
The rapid expansion of biomedical datasets generated by international research programs across Africa highlights an urgent need for advanced data science expertise to translate these resources into impactful interventions. We designed an innovative t... read more
Bolted connections are widely adopted as primary structural joints in engineering infrastructure. However, conventional manual inspection remains labor-intensive and time-consuming. Deep learning-based automated defect detection faces significant cha... read more
Accurate remaining useful life (RUL) prediction of rolling element bearings is essential for implementing predictive maintenance strategies in rotating machinery. However, this task remains challenging due to severe signal noise and the inherently co... read more
Cross-cultural pragmatic reasoning requires computational systems to interpret implicit meanings and culturally-specific communication patterns beyond literal semantic comprehension. This study proposes a cognitive salience feature-driven multi-task ... read more
Major depressive disorder (MDD) is a prevalent mental health condition that negatively impacts both individual well-being and global public health. Automated detection of MDD using structural magnetic resonance imaging (sMRI) and deep learning (DL) m... read more
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