Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

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

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

While beneficial uses of AI continue to increase, its biggest downfall is the pollution it produces. However, this tech may ...

The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

The ability of Machine learning and ensemble learning ... particularly focusing on algorithms like Random Forest, Gradient Boosting, and AdaBoost, in addition to traditional classification techniques ...

SVM is a machine learning algorithm used to address binary classification problems (Zhang et al., 2013). It maps the original vectors into a higher-dimensional space and constructs a hyperplane with ...

Existing diagnostic tools have yet to fully harness the combined strengths of neuroimaging and modern deep-learning architectures for nuanced, early-stage AD classification. In this study, we propose ...

Abstract: The field of cryptanalysis has lately witnessed considerable advancement due to the need for artificial intelligence technologies to simplify the complicated task of vulnerability ...