Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.

Abstract: If an interaction exists in medical and health sciences, a proper statistical approach is required to avoid an erroneous conclusion. For example, different genders may introduce modified ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

Comparison of canopy height dynamics in plantations and secondary forests. (A) Violin plots of canopy height in 2019. (B) The regression slope of annual canopy height for 1986 to 2019. (C) The CV of ...

Researchers at China University of Petroleum (East China) present a comprehensive AI-driven strategy that enhances the efficiency and reliability of materials research across semiconductors, ...

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...