Young tropical forests can regrow twice as fast with enough nitrogen, dramatically increasing carbon capture, according to a ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

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

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

Fish across Michigan are getting smaller, and attempts to figure out why have left scientists scratching their heads. A study spanning 75 years and nearly 1,500 lakes was intended to provide clarity, ...

Researchers have developed a hybrid machine learning model combining Gradient Boosting Regression Trees with Bayesian Optimization to accurately predict the compressive strength of self-compacting ...

Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...

ABSTRACT: This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a ...

Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...