The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

Depression, one of the most widespread mental health disorders, is characterized by a persistent low mood and a loss of ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Abstract: Heart failure (HF) is a leading cause of mortality worldwide, with early detection critical for improving patient outcomes. This study investigates the application of machine learning (ML) ...

Abstract: Sentiment Analysis is considered one of the interesting topics of research in the field of Artificial Intelligence. People write or express their views on social platforms such as Facebook, ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Depression affects more than 280 million people worldwide and remains widely underdiagnosed due to the absence of reliable, objective biomarkers. Subtle changes in speech and acoustic features are ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...

Digital news environments are increasingly shaped by algorithmic amplification and fragmented audience engagement, enabling the unchecked spread of misinformation. Among the rhetorical strategies that ...