Data augmentation is a crucial stage in any deeplearning model training process due to the scarcity of satellite images. It is able to contextually alter the present dataset to provide additional ...

Machine learning methods have been widely applied in predicting the residual strength of corroded pipelines due to their powerful predictive capabilities. However, the effective application of these ...

Evaluation of an automated artificial intelligence (AI)/ natural language processing (NLP) engine to match patients (pts) with advanced solid cancers to biomarker-driven early phase (EP) clinical ...