This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

By integrating nanosensors with AI, a new IoNT framework enhances real-time water quality monitoring, outperforming traditional models in both accuracy and efficiency.

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

An Advanced AI Approach for Accurate Giant Panda Behavior Detection and Conservation Insights,” published in the journal Animals, researchers develop an AI-driven framework capable of accurately ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...

Evaluation of deep learning tools underscores the strengths, limitations and opportunities for next‑generation hybrid modeling.