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A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging
Published 2024-01-01“…Additionally, we design a module that simultaneously learns in the spatial and frequency domains, which is used for upsampling and complementing the missing high-frequency information in the frequency domain. On the MNIST dataset, when the sampling rate is 0.025, VMSE achieved higher Peak Signal-to-Noise Ratio(PSNR) and Structural Similarity Index(SSIM) scores, especially with an SSIM score of 0.963, significantly surpassing Reconnet and DR2Net's scores of 0.930 and 0.920, respectively. …”
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RaDiT: A Differential Transformer-Based Hybrid Deep Learning Model for Radar Echo Extrapolation
Published 2025-06-01Get full text
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Detection of anomalous spatio-temporal patterns of app traffic in response to catastrophic events
Published 2025-05-01“…Abstract In this work, we uncover patterns of usage mobile phone applications and information spread in response to perturbations caused by unprecedented events. …”
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End-to-End Multi-Scale Adaptive Remote Sensing Image Dehazing Network
Published 2025-01-01“…This detailed information is crucial for applications such as Earth observation and environmental monitoring. …”
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Multi-Scenario Remote Sensing Image Forgery Detection Based on Transformer and Model Fusion
Published 2024-11-01“…Secondly, considering the small number of samples, we use the public ImageNet-1K dataset to pre-train the network to learn more stable feature expressions. …”
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Direction of Arrival Estimation Algorithm for Underwater Distributed Sources Based on Deep Neural Network
Published 2025-04-01Get full text
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You Only Attack Once: Single-Step DeepFool Algorithm
Published 2024-12-01“…Furthermore, we performed data visualization on the ImageNet dataset, demonstrating that the proposed algorithm focuses more on attacking important features. …”
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Enhancing Underwater Video from Consecutive Frames While Preserving Temporal Consistency
Published 2025-01-01“…In addition, to address the limitations of traditional U-Net models in handling complex multiscale feature fusion, this study proposes a novel underwater feature fusion module. …”
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Research on Path Planning of Agricultural UAV Based on Improved Deep Reinforcement Learning
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APO-CViT: A Non-Destructive Estrus Detection Method for Breeding Pigs Based on Multimodal Feature Fusion
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Improved YOLOv7-Tiny for the Detection of Common Rice Leaf Diseases in Smart Agriculture
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Does the registration system reform reduce the finance sector's risk spillover effect in China's stock market-Causal inference based on dual machine learning.
Published 2025-01-01“…The finance sector mainly accepts risk from the public utility sector and exports risk to the other 9 sectors, with the highest spillovers going to the communication and information technology sectors, showing extreme net ΔCoVaR values around -0.02. (2) The registration system reform increases the finance sector's risk spillover effect, and this conclusion remains the same after a series of robustness tests. (3) Sector heterogeneity tests show that the reform boosts the finance sector's risk spillovers to cyclical sectors and sectors with a low proportion of strategic emerging companies but reduces risk spillovers to midstream and supportive sectors. …”
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Seasonal and Interannual Variation in Energy Balance in the Semiarid Grassland Area of China
Published 2015-01-01“…The lowest are in winter. As for the net surface radiation, there is obvious decrease in southeast of study area due to returning cropland to grassland. …”
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Integration of Probability Maps into Machine Learning Models for Enhanced Crack Segmentation in Concrete Bridges
Published 2025-03-01“…This study focuses on evaluating and improving the performance of various deep learning models for crack segmentation, including U-Net, SegNet, ENet, HRNet, FastFCN, and DeepLab V3+. …”
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Resource‐adaptive and OOD‐robust inference of deep neural networks on IoT devices
Published 2025-02-01Get full text
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