Nowadays, there are significant issues in the classification of lithofacies and the
identification of rock types in particular. Zamzama gas field demonstrates the complex nature …

Facial expression recognition (FER) using a deep convolutional neural network (DCNN) is
important and challenging. Although a substantial effort is made to increase FER accuracy …

Facial expression recognition has become a newly-emerging topic in recent decades, which
has important value in the field of human-computer interaction. In this paper, we present a …

Expression recognition relies on intensity, edges, and geometry that overlooks the actual
shape curvatures of facial regions. This paper presents a novel two-stage approach to …

The extraction of salient objects from a cluttered background without any prior knowledge is
a challenging task in salient object detection and segmentation. A salient object can be …

Stratigraphic identification from wire-line logs and core samples is a common method for
lithology classification. This traditional approach is considered superior, despite its …

In the era of 5G and beyond, massive wireless connectivity will be further intensified, leading
to more severe spectrum shortages. Therefore, as a promising way to solve the spectrum …

Facial expression recognition using deep neural networks (DNN) is increasingly important
as applications in visual recognition rapidly evolve. Despite efforts to improve the accuracy …

Stratigraphic identification from wire-line logs and core samples is a common method for
lithology classification. This traditional approach is considered superior, despite its …

Shape descriptors are one of the tools commonly used in image processing applications. To
enable a computer to be able to tell what the camera sees, the objects in the image need to …