In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...

Maritime transportation and offshore renewable energy systems form the backbone of sustainable ocean economies. As these infrastructures scale in complexity ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost pressures persist.

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...