A new research paper shows the approach performs significantly better than the random-walk forecasting method.

The paper shows how artificial intelligence can transform wastewater treatment by making plants smarter, more ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Loot routes in "Borderlands 4" weapon farming remove the friction that defined earlier games. Moxxi's Encore Machines allow instant boss respawns for scalable fees, while nearby vending clusters keep ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

This finalizes our definition of adversarial location: the pitcher’s ability to locate pitches where a particular batter gets ...

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...

Automated three-stage analysis pipeline sifts out whale calls from terabytes of distributed acoustic sensing data.

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Abstract: In this study, we utilized the light gradient boosting machine (LightGBM) model for prediction analysis of single-vehicle motorcycle crash fatality in Japan. We develop the model using Japan ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that leaf optical behavior can be accurately inferred from measurable phenotypic ...

We evaluated machine learning algorithms (random forest [RF], extra-trees classifier, and light gradient boosting machine) and selected the RF model as the final model based on its performance. To ...