Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

The research group Functional Materials for Sustainability and Resilience (FunMat4SuRe) at University of Seville (Spain) has demonstrated the efficacy of a new "criticality-aware design strategy," ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

ABSTRACT: The objective of this study is to assess the trends and predict the maximum daily rainfall using Benin century rainfall gauges. The Pettitt, Buishand, and entropy breakpoint detection tests ...

Introduction: As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: In recent years, High Entropy Alloys (HEAs) have gained significant interest due to their unique properties such as high strength, wear resistance, and high temperature stability. However, ...

Beijing Advanced Innovation Center for Materials Genome Engineering, Department of Physical Chemistry, University of Science and Technology Beijing, Beijing 100083, China ...