8,195 Result(s)
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Computer Science
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Article
A novel defect detection method for color printing fabrics based on attention mechanism and space-to-depth transformation
Defect detection of color printing fabrics is a challenging branch of the textile industry. However, due to the issues of multi-scale defects and information loss of tiny objects, the defect accuracy of the ex...
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A lightweight road crack detection algorithm based on improved YOLOv7 model
Road crack detection plays a crucial role in protecting road safety. However, early manual detection is not only time-consuming and laborious but also highly inefficient. Although existing road inspection vehi...
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Transferable map** shift network for unsupervised domain adaptation using in vibration signal fault diagnosis under variable conditions
Unsupervised domain adaptation as one of the popular techniques of deep transfer learning used to tackle the model performance suffers the domain gap between the source and target data, and it is recently deve...
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Improving real-time small objects detection by fusion features of spatial coordinates
The small object detection has long limited the advanced development of deep learning-based detection models. The down-sampling of vision-models leads to a severe loss of spatial information of small objects c...
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A three-stage quality evaluation method for experience products: taking animation as an example
The diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a three-stage quality assessment method based on grounded theory, asso...
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An improved multi-scale and knowledge distillation method for efficient pedestrian detection in dense scenes
Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision. Existing approaches often address detection leakage by enhancing mo...
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Subgraph matching-based reference placement for printed circuit board designs
Reference placement is promising to handle the increasing complexity in printed circuit board (PCB) designs, which aims to find the isomorphism of the placed template in component combination to reuse the plac...
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Improved V-detector algorithm based on bagging for earthquake prediction with faults
With the highly nonlinear relationship between various seismic feature indicators and earthquakes, the researchers can hardly construct an earthquake model. Meanwhile, the lack of samples for destructive earth...
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Inertial randomized Kaczmarz algorithms for solving coherent linear systems
In this paper, by regarding the two-subspace Kaczmarz method as an alternated inertial randomized Kaczmarz algorithm we present a better convergence rate estimate under a mild condition. Furthermore, we accele...
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DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of contemporary society have placed a significant burden on pow...
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Open AccessFrequency stability of new energy power systems based on VSG adaptive energy storage coordinated control strategy
A self-adaptive energy storage coordination control strategy based on virtual synchronous machine technology was studied and designed to address the oscillation problem caused by new energy units. By simulatin...
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Open AccessFedSHE: privacy preserving and efficient federated learning with adaptive segmented CKKS homomorphic encryption
Unprotected gradient exchange in federated learning (FL) systems may lead to gradient leakage-related attacks. CKKS is a promising approximate homomorphic encryption scheme to protect gradients, owing to its u...
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Correction: Learning sample-aware threshold for semi-supervised learning
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Differentially private federated learning with non-IID data
In Differentially Private Federated Learning (DPFL), gradient clip** and random noise addition disproportionately affect statistically heterogeneous data. As a consequence, DPFL has a disparate impact: the a...
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CLIP-guided black-box domain adaptation of image classification
Recently, the significant success of the large pre-trained models have attracted great attentions. How to sufficiently use these models is a big issue. Black-box domain adaptation is a way which tries to train...
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Open AccessSemantic guidance incremental network for efficiency video super-resolution
In video streaming, bandwidth constraints significantly affect client-side video quality. Addressing this, deep neural networks offer a promising avenue for implementing video super-resolution (VSR) at the use...
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Deep reinforcement learning framework for end-to-end semiconductor process control
This work focuses on bringing state-of-the-art artificial intelligence and deep reinforcement learning to the manufacturing of semiconductor devices. The main goal of this research is to lay down the foundatio...
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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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STransLOT: splitting-refusion transformer for low-light object tracking
In the field of tracking, more and more trackers are using the great potential of the transformer to form the framework. Most of them use the Siamese-based backbone and employ the attention mechanism to captur...
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Online video visual relation detection with hierarchical multi-modal fusion
With the development of artificial intelligence technology, visual scene understanding has become a hot research topic. Online visual relation detection plays an important role in dynamic visual scene understa...
