Interferometry is a highly versatile tool for probing physical and chemical phenomena. In
addition to the benefit of noncontact investigations, even spatially resolved information can …

Featured Application This research covers the development of a soft sensor model for
dynamic processes based on convolutional neural networks for the measurement of …

Advances in convolutional neural networks (CNNs) provide novel and alternative solutions
for water quality management. This paper evaluates state-of-the-art optimization strategies …

Las redes neuronales convolucionales (CNNs, por sus siglas en inglés) han demostrado un
gran potencial para resolver problemas de clasificación con imágenes médicas. En esta …

In this paper, an analysis of convolutional neural network (CNN) models to classify the
quality of dried chili pepper is described. The classifier models can determine the categories …