Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and unsupervised domain adaptation (UDA) to enhance model generalisability for ...
Machine learning algorithms have fundamentally transformed how geological data reveals subsurface mineral deposits, creating unprecedented opportunities for exploration efficiency across diverse ...
Optical computing presents a promising avenue to meet the escalating computational demands. However, optical analog computing is susceptible to environmental perturbations, relies heavily on ...
Abstract: Edge devices powered by convolutional neural networks (CNNs) are being rapidly developed and utilized in image recognition, classification, and generation. As these devices become more ...
Point of care ultrasound (POCUS) is commonly used for diagnostic triage of internal injuries in both civilian and military trauma. In resource constrained environments, such as mass-casualty ...
Background Colonoscopy is a crucial method for the screening and diagnosis of colorectal cancer, with the withdrawal phase directly impacting the adequacy of mucosal inspection and the detection rate ...
Code for Paper Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases We use GroupEmoW in this demo code. GroupEmoW is a new ...