Medical image segmentation has the priori guiding significance for clinical diagnosis and
treatment. In the past ten years, a large number of experimental facts have proved the great …

Object detection is one of the most basic and important research tasks in the field of
computer vision. The general trend in object detection has been to design large and over …

Students' head pose estimation is a very difficult task since the training data is insufficient for
many head pose angles. In this study, we consider each head pose image as a Gaussian …

Abstract Mobile Ad-hoc Networks (MANETs) consist of mobile nodes that usually have
limited energy resources. MANET routing protocols should consider the dynamics and …

Recently, the discriminative correlation filters (DCF)-based methods have performed
excellent precision and speed in object tracking. Due to the continuous change and …

Feature selection (FS) is an important pre-processing step in data mining and pattern
recognition. It can effectively compress the dimensionality of the feature space to reduce …

Cyber-physical systems (CPS) can significantly transform our daily lives as it is an emerging
area for future innovative services. CPS have the inherent features and benefits of using …

The main objective of this study is to propose a cyber–physical system (CPS)-based person
reidentification (P-ReID) framework for smart surveillance. The Internet of Things (IoT)-based …

To improve the ability of natural language information processing in mobile communication
networks, a system based on recurrent neural networks (RNN) is designed. The feedback …

High-dimensional images, known for their rich semantic information, are widely applied in
remote sensing and other fields. The spatial information in these images reflects the object's …