Praise Ifenna Okwuba discusses the future of AI-powered diagnostics in healthcare, emphasizing improved accuracy and patient ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
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 ...
Abstract: Deep learning-based techniques have emerged as powerful tools for fault diagnosis. However, conventional deep learning methods require designing and training fault diagnosis models from ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
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