Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and extreme variability in topography. To overcome these limitations, the study ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Businesses are still new at this. Here are some things to know about how to go about AI integration the right way.

Keywords: colorectal polyps, random forests, machine learning, colorectal cancer prevention, risk prediction model, artificial intelligence Citation: Avram M-F, Lupa N, Koukoulas D, Lazăr D-C, Mariș M ...

It also evaluates AI’s role in automation and prediction through portfolio management, predictive analysis, and risk mitigation, emphasizing advanced machine learning techniques, including deep ...

Researchers utilized computer vision and machine learning to develop an objective method for evaluating the color quality of ...

Researchers developed a machine learning technique to predict obesity risk by analyzing sociodemographic, lifestyle, and health factors. The study, which achieved 79% accuracy, identified significant ...