In order to build a non-destructive tool for the recognition and classification of bread baking
stages, based exclusively on the color changes of the bread crust, the present work aims to …

Abstract A Computational Vision System (CVS) based on a Convolutional Neural Network
(CNN), operating with the module Inception v3 and reduced number of convolutional layers …

Deep auto-encoder neural networks have been widely used in several image classification
and recognition problems, including handwriting recognition, medical imaging, face …

Influenced by cultural background, economic development, social system, education system,
and other factors, there is still a big gap between Chinese institutions and developed …

In order to help pathologists quickly locate the lesion area, improve the diagnostic efficiency,
and reduce missed diagnosis, a convolutional neural network algorithm for the optimization …

Ambiguous appearance discrimination plays an important role in the impurity detection task.
Among the majority of deep learning models, images from every sequence are processed …

Impurity detection involves detecting small impurities in the liquid inside an opaque glass
bottle with complex textures by looking through the bottleneck. Sometimes experts have to …

γ photon pairs produced by positron annihilation can penetrate metals well; thus, they can
be used for nondestructive detection of the inner state of metal pipelines. An experimental …

Recently, lip reading has become one of the most important fields of study in the field of
artificial intelligence. In this study, lip reading process was performed in Turkish language …

ABSTRACT A Computational Vision System (CVS) based on a Convolutional Neural
Network (CNN), operating with the module Inception v3 and reduced number of …