Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

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

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...
IEEE

The Impact of Dimensionality Reduction Techniques on Classification Performance in Dry Bean Variety Classification Using Machine Learning

Abstract: In recent times, the increase in the human population has led to a growing demand for food. In response to this increasing demand, smart farming systems are being developed to enable ...