8,915 Result(s)
within
**a Jiang
Computer Science
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Article
Lyapunov-based nonlinear model predictive control for the path following of bevel-tip flexible needles in 3D environment
This paper develops a Lyapunov-based nonlinear model predictive control (NMPC) method for the path-following task of bevel-tip flexible needle in 3D environments. First, a nonholonomic and nonlinear kinematic ...
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A deep neural network-based end-to-end 3D medical abdominal segmentation and reconstruction model
In recent years, medical imaging-based disease detection and diagnosis have become a mainstream practice in the medical industry. Various computer-aided reconstruction models assist medical practitioners to de...
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Research on water level measurement technology based on the residual length ratio of image characters
Aiming at the low efficiency and poor adaptability of traditional water level measurement methods, a water level measurement technology based on the residual length ratio of image characters is proposed in thi...
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PMENet: a parallel UNet based on the fusion of multiple attention mechanisms for road crack segmentation
The presence of road cracks significantly impacts both traffic safety and road maintenance. Therefore, accurate detection of road cracks plays a crucial role in road maintenance and management. This study focu...
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The error sample feature compensation method for improving the robustness of underwater classification and recognition models
With the intensification of ocean exploration and development in recent years, the navigation equipment in the marine environment has become increasingly diversified, making the marine environment more complex...
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Binary task offloading strategy for cloud robots using improved game theory in cloud-edge collaboration
In this study, we address the challenge of efficiently processing cloud robot tasks within cloud-edge collaborative systems by designing a collaborative offloading system. Our focus lies in jointly optimizing ...
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A lightweight deep learning model for acute myeloid leukemia-related blast cell identification
Leukemia is a severe blood disorder that poses a threat to the life and well-being of patients. Accurate diagnosis of leukemia ty** is crucial for treatment and prognosis. However, manual diagnosis requires ...
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Multiple search operators selection by adaptive probability allocation for fast convergent multitask optimization
Evolutionary multitask optimization (EMTO) has developed fast recently, and many algorithms have emerged that solve several different problems simultaneously through knowledge transfer. Most algorithms use a s...
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Federated learning-based edge computing for automatic train operation in communication-based train control systems
Automatic train operation (ATO) is a critical component of automatic train control (ATC) systems. The ATO automatically adjusts the speed of trains, ensuring the safety of trains and increasing the passenger c...
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MA-DBFAN: multiple-attention-based dual branch feature aggregation network for aerial image semantic segmentation
Aerial image semantic segmentation has extensive applications in the fields of land resource management, ecological monitoring, and traffic management. Currently, many convolutional neural networks have been d...
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Open AccessEffectiveness assessment of recent large vision-language models
The advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the models’ effectiveness in both specialized and general tasks war...
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Open AccessWhen large language models meet personalization: perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has bee...
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Multi-granularity hypergraph-guided transformer learning framework for visual classification
Fine-grained single-label classification tasks aim to distinguish highly similar categories but often overlook inter-category relationships. Hierarchical multi-granularity visual classification strives to cate...
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Open AccessPrimitiveNet: decomposing the global constraints for referring segmentation
In referring segmentation, modeling the complicated constraints in the multimodal information is one of the most challenging problems. As the information in a given language expression and image becomes increa...
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DMFNet: deep matrix factorization network for image compressed sensing
Due to its outstanding performance in image processing, deep learning (DL) is successfully utilized in compressed sensing (CS) reconstruction. However, most existing DL-based reconstruction methods capture loc...
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Open AccessEffectiveness of spatial measurement model based on SDM-STIRPAT in measuring carbon emissions from transportation facilities
To gain a deeper understanding of the carbon emission mechanism from transportation facilities, all system elements affecting carbon emissions from regional transportation facilities are identified and analyze...
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Multi-feature fusion enhanced monocular depth estimation with boundary awareness
Self-supervised monocular depth estimation has opened up exciting possibilities for practical applications, including scene understanding, object detection, and autonomous driving, without the need for expensi...
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Prognostic prediction model for esophageal cancer based on probability membrane systems
Esophageal squamous cell carcinoma (ESCC) is a clinically common heterogeneous malignant tumor of the digestive system and also one of the diseases with a high incidence rate in China. Selecting appropriate tr...
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Exploring highly concise and accurate text matching model with tiny weights
In this paper, we propose a simple and general lightweight approach named AL-RE2 for text matching models, and conduct experiments on three well-studied benchmark datasets across tasks of natural language inf...
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A lightweight fire hazard recognition model for urban subterranean buildings suitable for resource-constrained embedded systems
To enhance spatial utilization, architectural facilities are gradually expanding into underground spaces. However, underground structures pose challenges due to their enclosed nature and poor ventilation, resu...
