The Carbon Trust's experts, Pierre-Victor and Saleem, explain how to get supplier data that informs more than just ...
Abstract: In this paper, we leverage unmanned aerial vehicles (UAVs) to enhance mobile crowd sensing (MCS) by addressing two critical challenges: uncontrollable data quality and inevitable unsensed ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes applications. By introducing ...
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