Abstract: To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Abstract: We propose a novel deep learning architecture, called XcelNet17, for image classification in remote sensing. Comprising fourteen convolutional and three fully connected layers, XcelNet17 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback