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  1. 841

    Multi-label remote sensing classification with self-supervised gated multi-modal transformers by Na Liu, Ye Yuan, Guodong Wu, Sai Zhang, Jie Leng, Lihong Wan

    Published 2024-09-01
    “…In this paper, we pretrain the ViT model based on BigEarthNet dataset by combining two commonly used SSL algorithms, and propose an intra-modal and inter-modal gated fusion unit for feature learning by combining multispectral (MS) and synthetic aperture radar (SAR). Our method can effectively combine different modal data to extract key feature information.Results and discussionAfter fine-tuning and comparison experiments, we outperform the most advanced algorithms in all downstream classification tasks. …”
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  2. 842

    FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion by Rumei Li, Liyan Zhang, Zun Wang, Xiaojuan Li

    Published 2024-10-01
    “…The fusion of low-resolution hyperspectral images (LR-HSI) with high-resolution multispectral images (HR-MSI) provides a cost-effective approach to obtaining high-resolution hyperspectral images (HR-HSI). Existing methods primarily based on convolutional neural networks (CNNs) struggle to capture global features and do not adequately address the significant scale and spectral resolution differences between LR-HSI and HR-MSI. …”
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  3. 843
  4. 844

    Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network by Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA

    Published 2025-04-01
    “…To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater objects based on a lightweight gated convolutional network. …”
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  5. 845
  6. 846

    AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder by Yunseung Lee, Pilsung Kang

    Published 2022-01-01
    “…Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images. Therefore, current image anomaly detection methods have commonly used convolutional encoder-decoders to extract normal information through the local features of images. …”
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  7. 847

    Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model by Hongdong Fan, Jialin Xin, Tao Lin, Jun Wang

    Published 2025-01-01
    “…Therefore, this study develops a wide-area subsidence calculation model integrating convolutional neural network and transformer. Initially, a training sample set for mining subsidence interferometric synthetic aperture radar was constructed by leveraging the probability integral method, Generic Atmospheric Correction Online Service, coherence maps, and zero-mean Gaussian noise. …”
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  8. 848

    A robust in planta Agrobacterium‐mediated transformation in red chili (Capsicum annuum L.) by Anti Damayanti Hamdani, Syarul Nugroho, Rizkita Rachmi Esyanti, Ahmad Faizal, Sony Suhandono

    Published 2024-12-01
    “…Therefore, this study aimed to develop an Agrobacterium‐mediated in planta transformation method applicable to various red chili cultivars. …”
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  9. 849

    Impact of anthropogenic landscape transformation on soil fertility and diversity of carabid beetles and butterflies in Poland by Katarzyna Szyszko-Podgórska, Joanna Ukalska, Krzysztof Ukalski, Marek Kondras

    Published 2025-09-01
    “…Anthropogenic landscape transformation, including urbanization and intensive agriculture, significantly affects the structure and functioning of ecosystems. …”
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  10. 850

    A Spatial–Frequency Combined Transformer for Cloud Removal of Optical Remote Sensing Images by Fulian Zhao, Chenlong Ding, Xin Li, Runliang Xia, Caifeng Wu, Xin Lyu

    Published 2025-04-01
    “…FreSA leverages fast Fourier transform to convert features into the frequency domain, using frequency differences between object and cloud regions to achieve precise cloud detection and fine-grained removal. …”
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  11. 851
  12. 852

    Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition by Jinghang Liu, Xiangyuan Xu, Yan Qiu, Chunzhi Wang

    Published 2025-07-01
    “…Comprehensive evaluations demonstrate that GaitSMAT achieves state-of-the-art (SOTA) performance on multiple public datasets (GREW, Gait3D, and SUSTech1K), exhibiting significant improvements over existing approaches. The method shows particular efficacy in complex environments, demonstrating superior robustness and accuracy. …”
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  13. 853

    STARTeCH for asynchronous interactive grammar learning: Transforming ESL mastery in Malaysian schools by Siti Shuhaida Shukor, Qiu Chuane, Intan Safinas Mohd Ariff Albakri, Noor Alhusna Madzlan, Revathi Gopal

    Published 2025-02-01
    “…The post-pandemic emphasis on educational experimentation underscores STARTeCH’s call for swift school reform and the transformative potential of extracurricular learning. …”
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  14. 854
  15. 855

    Utilizing Clinical Transformation Criteria for Prognostic Stratification in Follicular Lymphoma Prior to Initial Immunochemotherapy by Yoshikazu Hori, Hiroki Hosoi, Takayuki Hiroi, Ke Wan, Shogo Murata, Masaya Morimoto, Toshiki Mushino, Akinori Nishikawa, Takashi Sonoki

    Published 2024-10-01
    “…We retrospectively applied the clinical transformation criteria used for FL transformation assessments at relapse or disease progression to conduct transformation assessments before the initial immunochemotherapy. …”
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  16. 856

    Accurate Rainfall Prediction Using GNSS PWV Based on Pre-Trained Transformer Model by Wenjie Yin, Chen Zhou, Yuan Tian, Hui Qiu, Wei Zhang, Hua Chen, Pan Liu, Qile Zhao, Jian Kong, Yibin Yao

    Published 2025-06-01
    “…Unlike previous studies mainly focusing on rainfall occurrences, this study proposes a transformer-based model for hourly rainfall prediction, integrating the GNSS PWV and ERA5 meteorological data. …”
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  17. 857

    «Eternal» themes and their transformation in perestroika-era fiction story Avariya by Y. M. Korotkov by Vadim S. Zhupikov, Olga N. Provatorova

    Published 2025-01-01
    “…The purpose of this article is to investigate the realization of «eternal» themes in the fiction story Avariya by Y.M.Korotkov, identifying their specific in the text of perestroika-epoch. Materials and methods. In this work the method of analysis and synthesis of theoretical information was applied to understand the essential characteristics of the theme as a literary category for further researching «eternal» themes in the fiction story Avariya (their transformation on the example of text of perestroika-epoch), produced by textual analysis. …”
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  18. 858

    Significance of indexes of cytokine status in evaluation of clinical course of hemorrhagic transformation of ischemic stroke by Tatiana А. Nikiforova, Boris M. Doronin, Sergey A. Peskov, Anastasia А. Maruschak

    Published 2017-10-01
    “…To determine the features of cytokine status in ischemic stroke patients with hemorrhagic transformation and its importance in the evaluation of the clinical course and outcome of the disease.Materials and methods. …”
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  19. 859

    The Effect of Tamponade on Postoperative Bleeding after Electrical Loop Excision of the Transformation Zone (LLETZ) by Andrej Cokan, Eva Timošek, Tamara Serdinšek, Žan Mavc, Andraž Dovnik, Jure Knez, Leyla Al Mahdawi, Maja Pakiž

    Published 2023-05-01
    “…Background: This two-armed clinical audit aimed to evaluate the effectiveness of vaginal tamponade in reducing postoperative bleeding after large loop excision of the uterine cervix’s transformation zone (LLETZ). Methods: We included patients after LLETZ with and without vaginal tamponade in this clinical audit analysis. …”
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  20. 860