Researchers have identified in a new study that perioperative dynamic alterations in systemic inflammatory markers are highly ...

Abstract: This research study proposes a novel hybrid model based on Recurrent Neural Network (RNN) combinatorial with Polar Bear Optimization (PBO) to improve air pollution prediction and control ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

The question of whether investors are missing the next crypto explosion is being raised daily. Ozak AI has emerged as the ...

Abstract: Predicting crop yields accurately is essential to improve agricultural planning, maximize resource allocation, and ensure food security. Predictive models can help farmers and policymakers ...

A research team has demonstrated that spectroscopy combined with partial least squares regression (PLSR) can accurately ...

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

Tokyo faces severe risks due to soil liquefaction, a phenomenon where the ground behaves like a liquid during strong seismic ...

The study used a framework that combines geotechnical data with artificial neural networks—a type of machine learning ...

Objective Missed hospital appointments are common among outpatients and have significant clinical and economic consequences. The purpose of this study is to develop a predictive model of missed ...

Power Division defends plan as transparent and cost-efficient, aimed at reducing future electricity costs and enhancing energy security.