Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...
Abstract: Decision tree (DT), an efficient and interpretable machine learning algorithm, has been widely used in numerous industrial applications. As the demand for higher performance grows, there is ...
Abstract: Federated learning (FL) is a distributed machine learning technique that enables multiple decentralized clients to develop a model collaboratively without exchanging their local data.
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