Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Pore pressure stands as a foundation parameter for an optimal mud density window evaluation; thus, its accurate prediction plays an essential role in the success and safety of the well-drilling ...

Machine learning (ML) algorithms are widely utilized for processing hyperspectral data in tasks such as image classification or segmentation. Despite the rich hyperspectral feature space, ML-based ...

Deep learning models using routinely processed WSIs hold promise for DCIS risk stratification, while the benefits of integrating clinical data merit further investigation. Obtaining a larger, ...

This article introduces an innovative crop recommendation system that leverages an attention-based cascaded deep learning network (AACNet) optimized by an improved migration algorithm (IMA). The ...