Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Machine learning models show promise in predicting colorectal cancer and advanced polyps, but validation gaps remain.

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

Alibaba Cloud has developed a new cluster management system called Eigen+ that achieved a 36% improvement in memory ...

How a Kellogg GIM trip unfolded to be a masterclass in astute observation, product design and building intelligent systems ...

Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...

The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier transform ...

Hossain, E. , Tahia, F. , Siemens, A. , Islam, M. , Rahman, Z. and Ahmad, I. (2025) Spatiotemporal Dynamics of Land Use ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Background and objective Prior studies have suggested that patients with premature ventricular complexes (PVCs) may have an ...

Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...