A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Integrated structural and functional MRI identifies brain-based biomarkers that distinguish active from remissive Crohn’s ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Research suggests that being happier may help you avoid developing common chronic diseases. However, the benefits only seem ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, M. and Nketia, E. (2026) Analyzing the Factors Influencing Sovereign Credit ...

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...