Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Abstract: The Gaussian process regression (GPR) model, which is a powerful machine learning tool for probabilistic prediction, is introduced into slope displacement prediction. Using this model, the ...

To harness biological systems (plants and microbes) for next-generation energy production and advanced materials, researchers ...

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed healing, persistent inflammation and a higher risk of infection. Traditional ...

The microneedle system is inspired by the carnivorous plant Drosera capensis, known for capturing prey through coordinated ...

Abstract: A novel method is proposed for forecasting the capacity of lithium-ion battery cells. The method uses a Gaussian Process Regression model, a machine learning framework. Besides the high ...

Researchers have developed an AI-guided, shape-changing microneedle patch that speeds wound healing while reducing infection ...

Geographical Gaussian Process Regression (GGPR): A Spatial Machine Learning Model Based on Spatial Similarity: defined as A-Xing Zhu et al. (2018): "The more similar geographic configurations of two ...

Beyond Installation, Operational, and Performance Qualifications: A Risk-Based Validation Framework for AI-Driven Software in ...

Chronic diabetic wounds heal slowly and are highly vulnerable to infection. Researchers have developed an AI-guided, 4D-printed microneedle patch that actively closes wounds, fights bacteria, and ...

When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...