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A dual attentional skip connection based Swin‐UNet for real‐time cloud segmentation
Published 2024-10-01Get full text
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E-Book Mobile Application: A Case of Kabale University Mukombe Library, Uganda
Published 2022Get full text
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3525
Pattern transition recognition based on transfer learning for exoskeleton across different terrains
Published 2025-08-01Get full text
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3526
G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images
Published 2023-01-01“…Remote sensing images (RSIs) contain important information, such as airports, ports, and ships. By extracting RSI features and learning the mapping relationship between image features and text semantic features, the interpretation and description of RSI content can be realized, which has a wide range of application value in military and civil fields, such as national defense security, land monitoring, urban planning, and disaster mitigation. …”
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3527
Variability of the Skin Temperature from Wrist-Worn Device for Definition of Novel Digital Biomarkers of Glycemia
Published 2025-06-01“…Characterization of the skin temperature signal measured through the Empatica E4 device was obtained in 16 subjects (data taken from a dataset freely available on PhysioNet) by deriving standard metrics and a set of novel metrics describing both the current and the retrospective behavior of the signal. …”
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Multimodal Contrastive Learning for Remote Sensing Image Feature Extraction Based on Relaxed Positive Samples
Published 2024-12-01“…The proposed method for remote sensing image feature extraction has been validated on four datasets. On the PatternNet dataset, it achieved a 91.1% accuracy with just one-shot.…”
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MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data
Published 2025-06-01“…To fully leverage the complementary properties of RGB and CHM, we present a novel <b>M</b>ultimodal learning-based <b>T</b>ree <b>C</b>rown <b>D</b>etection <b>Net</b>work (MTCDNet). Specifically, a transformer-based multimodal feature fusion strategy is proposed to adaptively learn correlations among multilevel features from diverse modalities, which enhances the model’s ability to represent tree crown structures by leveraging complementary information. …”
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3534
Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements
Published 2025-01-01“…Similarly, the GANM model demonstrated robust performance on the FakeNewsNet dataset by integrating text and social features. …”
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City-scale industrial tank detection using multi-source spatial data fusion
Published 2024-12-01Get full text
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MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture
Published 2025-01-01“…The decoder progressively upsamples to restore the original point cloud and injects multi-scale feature information to achieve precise segmentation. Based on the aforementioned encoding-decoding structure and multi-scale feature fusion, MFFTNet outperforms existing methods on the point cloud semantic segmentation datasets ShapeNetPart and S3DIS.…”
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High Quality Dynamic Occlusion Computational Ghost Imaging Guided Through Conditional Diffusion Model
Published 2025-01-01Get full text
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