Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and ...

Abstract: In this paper, we tackle the challenge of real-time detection of social engineering attacks, specifically focusing on phishing Uniform Resource Locator (URL) classification. We apply machine ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

A research team at Universidad Carlos III de Madrid (UC3M) has developed technology using advanced machine learning techniques that detects signs of gender violence from paralinguistic characteristics ...

Abstract: The manual identification of plant diseases through visual examination demands large amounts of labor while showing restricted accuracy and variable scope. The implementation of automatic ...

Crop Disease Detection using Machine Learning is a CNN-based system that identifies crop diseases from leaf images and provides preventive measures, helping farmers detect diseases early and reduce ...