In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR ... The random forest analysis was performed ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

An innovative new method developed by a Monash University-led research team aims to help conservationists identify more ...

Researchers in Netherlands and Belgium have created a numerical model to simulate the moisture ingress in PV modules. Their ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

An artificial intelligence model that is being trained on de-identified data from 57 million people in England has the potential to predict future ... he added. "Using national-scale data allows ...

Machine learning models using data from digital inhalers can successfully predict COPD exacerbations up to 5 days in advance.

Corporate accountants and financial analysts often use the capital asset pricing model (CAPM ... while also using historical data. This includes the beta, which is only available for publicly ...

Given where inflation and the economy are right now, markets are no longer predicting a rate cut this summer. "However, the situation could change quickly if there are new announcements out of the ...