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

The Data Science doctor delves into supporting vector machines, software systems that can perform binary classification such as creating a model to predict the gender of a person based on their age, ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed stark differences in the costs associated with their use.

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Researchers in China have used electrochemical impedance spectroscopy to analyze the state of health of sodium-ion batteries. Extracting four features from the measurements, they were able to create a ...

To solve the problem of difficult quantitative identification of surface defect depth during laser ultrasonic inspection, a support vector machine-based method for quantitative identification of ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...