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This paper introduces and analyzes a staggered discontinuous Galerkin (DG) method for quasi-Newtonian Stokes flow problems on polytopal meshes. The method introduces the flux and tensor gradient of the velocity as additional unknowns and ...

Deep learning has gained superior accuracy on Euclidean structure data in neural networks. As a result, non-Euclidean structure data, such as graph data, has more sophisticated structural information, which can be applied in neural networks as ...

Real-time bidding is the main way to display advertisements in the current e-commerce market. To maximize the revenue and investment reporting (ROI) brought by advertising, the platform should not only meet the needs of various brands for accurate ...

Brachytherapy is one of the most important treatment modalities for cervical cancer, and the delineation of organs at risk (OARs) plays a crucial role in medical image analysis. Accurate segmentation of OARs such as the bladder, rectum, and ...

Graph Contrastive Learning (GCL) aims to learn node representations by aligning positive pairs and separating negative ones. However, few of researchers have focused on the inner law behind specific augmentations used in graph-based learning. What kind ...

This paper proposes a framework for interaction design in museums that utilizes Mixed Reality (MR) technology. The framework combines virtual and real exhibition spaces to improve the connection between exhibit information and the user. The ...

Accurately identifying the Kirsten rat sarcoma virus (KRAS) gene mutation status in colorectal cancer (CRC) patients can assist doctors in deciding whether to use specific targeted drugs for treatment. Although deep learning methods are popular, ...

• We utilize the segmentation task to facilitate classification, which helps the model focus on lesion regions.
• An aggregation attention block consolidates shallow, deep, and spatial-frequency features, promoting a more comprehensive ...

Stroke classification for online handwriting and sketches, aimed at grouping strokes into different semantic categories, has drawn considerable attention due to its wide applications. This task is challenging since individual strokes look similar ...

• We propose a novel stroke classification method for online handwriting and sketches.
• We design an effective encoding scheme to represent the spatial relations among strokes.
• Extensive experiments demonstrate that our method is ...

Functional connectivity (FC) derived from resting-state fMRI (rs-fMRI) is a primary approach for identifying brain diseases, but it is limited to capturing the pairwise correlation between regions-of-interest (ROIs) in the brain. Thus, hyper-...

First, the resting-state functional Magnetic Resonance Imaging (rs-fMRI) data is preprocessed into fMRI time series and other functional indicators. Then, the fMRI time series is utilized for constructing effective hyper-connectivity (...

• We propose a novel effective hyper-connectivity (EHC) network modeling approach that effectively captures the directional information flow among multiple ROIs.
• Our proposed directed hypergraph convolutional network (DHGCN) to learn ...

In the existing spectral GNNs, polynomial-based methods occupy the mainstream in designing a filter through the Laplacian matrix. However, polynomial combinations factored by the Laplacian matrix naturally have limitations in message passing (e.g., over-...

Computer-aided diagnosis (CAD) systems play vital roles in the early detection of pulmonary nodules for reducing lung cancer mortality rates. To provide better services for professional doctors, this paper proposes an efficient open-source CAD ...

• Free and open-source platform with comprehensive core functionality.
• Scalability, supporting flexible system configurations.
• Assurance of stability and reliability, ensuring high platform availability.
• User-friendly interface ...

Software defects not only reduce operational reliability but also significantly increase overall maintenance costs. Consequently, it is necessary to predict software defects at an early stage. Existing software defect prediction ...

• Natural language knowledge is used in the program representation learning.
• A ...

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• Multispectral imaging accelerates alfalfa seed pelleting formulation development.

Seed pelleting is an advanced technology that can improve seed sowing and germination under abiotic stresses such as drought, promoting sustainable agriculture. However, the development of conventional seed pelleting formulations is ...

Neural networks have achieved state-of-the-art performance in many fields. However, they are often reported to produce overconfident predictions, especially for misclassifications. Therefore, confidence prediction ...

In the current industrial production process, fault data of rotating machinery are often difficult to obtain, and a small amount of fault data can lead to insufficient training of the model and reduced diagnostic accuracy. In addition, the ...

In order to enhance the post-production value of cherries, to improve the efficiency of cherry sorting, and to standardize and commercialize the industry, cherry grading detection becomes extreamly important. In this paper, we proposed a deep learning-...

We present a containerized mobile sensing simulation (CMOS) framework developed for smart agriculture applications. This framework includes 1) 3D environment and object modeling, 2) mobile platform motion planning and control, and 3) optical sensing ...

Prescribed‐time leader‐following consensus problem of multi‐agent systems with actuator saturation is considered in this paper. With the proposed protocol, the convergence time can be assigned off‐line, and actuator saturation problem is solved. A ...

String instruments, wind instruments and percussion instruments are three traditional categories of musical instruments, among which wind instruments play an important role. Usually, pitches of wind instruments are determined by the vibrating air ...

The theoretical model of a spherical involute surface is the premise and foundation of the 3D modelling design technology of spiral bevel gear. The forming process of the surface is also the forming process of its mathematical model. Based on the ...