The optic cup (OC) and optic disc (OD) are two critical structures in retinal fundus images, and their relative positions and sizes are essential for effectively diagnosing eye diseases. With the success of deep learning in computer vision, deep ...

• A simple and efficient DG method named AGSA is designed to generate a generic representation to avoid domain shift problem.
• RGB, HSV and LAB are introduced to tackle the problem of limited visual representation and brightness ...

In response to problems in using deep reinforcement learning to perform the stair climbing task for the crawler robot, such as the lack of theoretical values for stair size range, the inaccurate force on the model using wheel to simulate track ...

• We propose a dynamics parameter settings method to accurately simulate the track.
• We study kinematics and dynamics models to calculate the theoretical climbing ability.
• We propose a training course that reduces the impact of bad ...

• A two-stream network named GPONet is proposed to improve the performance of SOD.
• Using detail labels as additional supervised branch is designed in a two-stream network.
• A multi-level feature fusion network is explored to refine ...

The salient object detection task is to locate and detect salient regions in images, which is widely applied in various fields. In this paper, we propose a gated progressive optimization network (GPONet) for salient object detection. Firstly, to ...

We present a logical timestamping mechanism for ordering transactions in distributed databases, eliminating the single point of failure (SPoF) that bother existing timestamp "oracles". The main innovation is a bipartite client-server architecture, where ...

This paper proposes image processing technology and Beidou/SINS compact integrated navigation system, and analyses its performance. The experimental results show that in terms of attitude angle accuracy, the attitude data output by the integrated ...

Temporal action localization (TAL), which aims to identify and localize actions in long untrimmed videos, is a challenging task in video understanding. Recent studies have shown that the Transformer and its variants are effective at improving the ...

Considering the abnormal diffusion phenomena in the forming process of the sintered junction of metal fibers, a spatial fraction-order differential model is proposed based on the geometrical model and the integer-order differential ...

• A fractional differential model is built by geometrical and fractional flux models.

In this paper, a new unsupervised dimensionality reduction method named robust regularization non-negative matrix factorization with multi-constraint adaptive graph learning (RRNMF-MAGL) is developed. Compared with the existing methods,...

Image deblurring aims to restore the detailed texture information or structures from the blurry images, which has become an indispensable step in many computer vision tasks. Although various methods have been proposed to deal with the image deblurring ...

As one of the most effective feature learning methods, Nonnegative Matrix Factorization (NMF) has been widely used in many scientific fields, such as computer vision, data mining, and bioinformatics. However, NMF is an unsupervised method that ...

Recently, end‐to‐end deep neural networks‐based glaucoma diagnosis approaches have been gaining much attention. However, the feature extractor and classier in these approaches are trained together, which is known as coadaptation. Therefore, the ...

As fundamental and important problems in computer vision field, semantic segmentation and object detection have made a series of breakthroughs in recent years. Although the existing semantic segmentation and object detection methods have achieved ...

Forecasting energy demand accurately is the basis for the formulation and implementation of energy planning. In this paper, energy demand influencing factors are mainly decomposed into scale economy effect, population size effect, energy structure effect, ...

This paper focuses on the real-world automatic makeup problem. Given one non-makeup target image and one reference image, the automatic makeup is to generate one face image, which maintains the original identity with the makeup style in the reference ...

Non-negative matrix factorization (NMF) has recently attracted much attention due to its good interpretation in perception science and widely applications in various fields. In this paper, a novel graph regularized NMF algorithm called NMF with locality ...

 Gray fuzzy prediction model is suitable for small-sample-size prediction. The real per capita disposable income of urban residents in Hebei Province used as an example, and samples 3–35 in length selected, the influence of sample length on prediction ...

Urban noise recognition play a vital role in city management and safety operation, especially in the recent smart city engineering. Exiting studies on urban noise recognition are mostly based on conventional acoustic features, such as Mel-...

College students are facilitated with increasingly convenient access to the Internet, which has a civilizing influence on students' learning and living. This study attempts to reveal the association between Internet usage behaviors and ...

• New metrics to assess student's academic performance are proposed.
• Real ...

• A novel framework termed joint graph optimization and projection learning (JGOPL) is proposed for graph-based dimensionality reduction.
• The l 21-norm based distance measurement is adopted in the loss function of our JGOPL so that its ...

Nowadays, graph-based dimensionality reduction approaches have become more and more popular due to their successful utilization for classification and clustering tasks. In these approaches, how to establish an appropriate graph is critical. To ...

Earth surface vibration signals source classification and propagation distance estimation attract increasing attention in recent years due to the wide applications in many areas. In this study, the authors develop a hybrid classification and propagation ...