Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: Deep learning in ultrasound(US) imaging aims to construct foundational models that accurately reflect the modality's unique characteristics. Nevertheless, the limited datasets and narrow ...

Abstract: Contrastive learning (CL) has emerged as a powerful approach for self-supervised learning. However, it suffers from sampling bias, which hinders its performance. While the mainstream ...