This includes all stages of their lifecycle–from discovery and classification to threat detection ... operational efficiency and compliance in logistics, serving as a model elsewhere. How are emerging ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Older Canadian adults whose physicians prescribe first-generation antihistamines in the hospital are more likely to ...

In the final analysis, the scope of any discipline/branch depends on employability. The engineers of the future will not be employed because they hold a degree in a certain branch they will be ...

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Abstract: A commonly recognized chronic metabolic condition known as Diabetes mellitus significantly affects the global, social and economic standing of people. Obesity, age, high blood pressure, ...

We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...

Abstract: This paper describes a strong machine learning system for monitoring students' mental health using classifier-based predictive modeling. Existing work indicates the application of supervised ...

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...