Abstract: Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks ...

Feature scaling is a crucial preprocessing step in machine learning, ensuring that different features contribute equally to the model's performance. By transforming data to a similar scale, we prevent ...

The final, formatted version of the article will be published soon. Abstract Introduction The eye lens is a sophisticated optical element that provides the eye with both refractive power and ...

Abstract: Online first-order algorithms for function identification and regression with noisy data often rely on replacing actual gradients with their constructed noisy estimates. Stochastic gradient ...

ABSTRACT: The diversity of snail intermediate hosts of schistosomes and infection rates are influenced by environmental determinants. Knowledge of these local environmental determinants is an ...