Wildfires do not grow in a straight line. They begin as tiny, ...

(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

The Deep User Preference Gating Transfer for Cross-Domain Recommendation (DUPGT-CDR) framework improves CDR by separately encoding high and low user feedback from the source domain and adaptively ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Overview: The choice of deep learning frameworks increasingly reflects how AI projects are built, from experimentation to ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Gathering and processing this data is time consuming and expensive, limiting the models' use to areas with long-term data records and high-powered computers. To overcome these limitations, the ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...