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2461
A lightweight Deeplab V3+ network integrating deep transitive transfer learning and attention mechanism for burned area identification
Published 2025-05-01“…For the process of DTTL, the improved Deeplab V3 + network was first pre-trained on ImageNet. Sequentially, WorldView-2 and the Sentinel-2 dataset were employed to train the proposed network based on the ImageNet pre-trained weights. …”
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2462
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2463
Reconstructing Ötzi’s shoes
Published 2023-06-01“…For making the shoes I used a flint knife, for both shoes I mostly used one knife. The net is made by hand so not many tools were needed to reconstruct the shoes. …”
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2464
Research on Pork Cut and Freshness Determination Method Based on Computer Vision
Published 2024-12-01Get full text
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2465
DEFENDIFY: defense amplified with transfer learning for obfuscated malware framework
Published 2025-04-01“…The proposed framework was configured to test four Convolutional Neural Network architectures: ResNet18, ResNet34, EfficientNetB3, and EfficientNetV2S. …”
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2466
An Efficient Method for Counting Large-Scale Plantings of Transplanted Crops in UAV Remote Sensing Images
Published 2025-02-01“…To address the aforementioned challenges, this paper first proposes an effective framework for farmland segmentation, named MED-Net, based on DeepLabV3+, integrating MobileNetV2 and Efficient Channel Attention Net (ECA-Net), enabling precise plot segmentation. …”
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2467
Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis
Published 2025-01-01“…We introduced a network-based transfer (NBT) of pan-cancer immunotherapy responses to enhance breast cancer prognosis using node embedding and heat diffusion algorithms, identifying gene signatures netNE and netHD. Our results showed that netHD and netNE outperformed seven established breast cancer signatures in prognostic metrics, with netHD excelling. …”
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2468
Understanding Point Clouds of Electrical Substations Using a Multi-View Multi-Scale Fusion With Transformer
Published 2025-01-01“…Our model shows a better performance than the state-of-the-art methods, and it achieves an overall accuracy of 91.15% on our dataset, 93.30% on ModelNet40, and 92.80% on ModelNet40-C, indicating its effectiveness and robustness.…”
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2469
Binary Transformer Based on the Alignment and Correction of Distribution
Published 2024-12-01Get full text
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2470
Pre-Routing Slack Prediction Based on Graph Attention Network
Published 2025-05-01Get full text
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2471
Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model
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2472
A facial expression recognition network using hybrid feature extraction.
Published 2025-01-01“…In response to this issue, this article proposes a facial expression recognition network called HFE-Net. In order to capture the subtle changes of expression features and the whole facial expression information at the same time, HFE-Net proposed a Hybrid Feature Extraction Block. …”
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2473
Research on adversarial examples defense method based on multi-modal feature fusion
Published 2025-04-01“…Initially, ViT-GPT2 was utilized to generate corresponding textual descriptions based on image information, while a feature pyramid network captured multi-scale information. …”
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2474
Transductive Radar Clutter Segmentation Network for Ionospheric Inhomogeneity Clutter Suppression
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2475
Multi-axis compression fusion network for vehicle re-identification
Published 2025-08-01“…Experiments show that MCF-Net achieves state-of-the-art performance on the vehicle Re-ID datasets VeRi-776 and VehicleID.…”
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2476
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2477
Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images
Published 2024-11-01Get full text
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2478
High-capacity phase-sensitively amplified transmission in a field-deployed fiber cable
Published 2025-07-01Get full text
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2479
A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion
Published 2025-08-01“…To address this issue, this paper proposes a Rotation Target Detection Network based on Multi-kernel Interaction and Hierarchical Expansion (MIHE-Net) as a systematic solution. Specifically, we first refine scale modeling through the Multi-kernel Context Interaction (MCI) module and Hierarchical Expansion Attention (HEA) mechanism, achieving sufficient extraction of local features and global information for targets of different scales. …”
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2480
The Two-Stage Alzheimer’s Disease Automatic Diagnosis Algorithm Based on ST-MBV3 Model
Published 2025-06-01Get full text
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