Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting ...

While machine learning can help manage many of these complexities facing marketing teams at telcos, it’s not the starting point.

Quasars acting as strong gravitational lenses are among the rarest finds in astronomy. Out of nearly 300,000 quasars ...

AI-assisted signal debugging has broad impact across many domains.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.