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  1. 1741
  2. 1742

    High-Resolution Reflected Wave Extraction and Imaging Enhancement for Array Acoustic Logging by YUE Wenzheng, LIU Dongming, TIAN Bin, QIN Minjun

    Published 2024-12-01
    “…This proposed method combines the shearlet transform with two-dimensional Fourier transform to achieve multi-scale and multi-directional decomposition of array acoustic logging signals. …”
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  3. 1743

    GOAT: a novel global-local optimized graph transformer framework for predicting student performance in collaborative learning by Tianhao Peng, Qiang Yue, Yu Liang, Jian Ren, Jie Luo, Haitao Yuan, Wenjun Wu

    Published 2025-03-01
    “…A global-local optimization module is introduced to model intricate relationships within and between teams, highlighting commonalities and differences among team members. Our framework is backed by theoretical analysis and validated through extensive experiments on real-world datasets, which demonstrate its superiority over existing methods.…”
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  4. 1744
  5. 1745

    Multi-stream feature fusion of vision transformer and CNN for precise epileptic seizure detection from EEG signals by Qi Li, Wei Cao, Anyuan Zhang

    Published 2025-08-01
    “…Methods Our study proposes an epilepsy detection model, CMFViT, based on a Multi-Stream Feature Fusion (MSFF) strategy that fuses a Convolutional Neural Network (CNN) with a Vision Transformer (ViT). …”
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  6. 1746

    SET: A Shared-Encoder Transformer Scheme for Multi-Sensor, Multi-Class Fault Classification in Industrial IoT by Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli

    Published 2025-01-01
    “…Our experimental results indicate that SET consistently outperforms baseline methods, including Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN)-LSTM, and Multilayer Perceptron (MLP), as well as the proposed comparative variant of SET, Multi-Encoder Transformer (MET), in terms of accuracy, precision, recall, and F1-score across different fault intensities. …”
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  7. 1747

    HNF-DDA: subgraph contrastive-driven transformer-style heterogeneous network embedding for drug–disease association prediction by Yifan Shang, Zixu Wang, Yangyang Chen, Xinyu Yang, Zhonghao Ren, Xiangxiang Zeng, Lei Xu

    Published 2025-04-01
    “…Experimental results on two benchmark datasets demonstrate that HNF-DDA outperforms several state-of-the-art methods. Additionally, it shows superior performance across different dataset splitting schemes, indicating HNF-DDA’s capability to generalize to novel drug and disease categories. …”
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  8. 1748

    Optimize multi-objective transformation rules of water-sediment regulation for cascade reservoirs in the Lower Yellow River of China by Kunhui Hong, Aixing Ma, Wei Zhang, Mingxiong Cao

    Published 2025-08-01
    “…We analyzed the impact and transformation rules of multiple objectives under various optimization schemes. …”
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  9. 1749

    ViTMa: A Novel Hybrid Vision Transformer and Mamba for Kinship Recognition in Indonesian Facial Micro-Expressions by Ike Fibriani, Eko Mulyanto Yuniarno, Ronny Mardiyanto, Mauridhi Hery Purnomo

    Published 2024-01-01
    “…In this paper, we propose a kinship recognition that exploits facial micro expressions using a hybrid Vision Transformer and Mamba (ViTMa) model with modified Deep Feature Fusion, which combines different backbone architectures and feature fusion strategies. …”
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  10. 1750

    Semantic Transformations of Word <i>bomb</i> and Its Derivatives as a Reflection of Shifts in the Linguistic Picture of World by E. A. Kitanina, D. S. Trukhanova

    Published 2020-04-01
    “…In addition, the authors turn to sociolinguistic research methods. It is shown that individual units and new meanings are poorly represented in lexicography. …”
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  11. 1751

    Study on the Geographic Traceability and Growth Age of <i>Panax ginseng</i> C. A. Meyer Base on an Electronic Nose and Fourier Infrared Spectroscopy by Jinying Li, Jianlei Qiao, Chang Liu, Zhigang Zhou, Cheng Kong, Zhiyong Chang, Xiaohui Weng, Shujun Zhang

    Published 2025-05-01
    “…In this study, a new method is proposed and developed for the classification of ginsengs with diverse geographical traceability and with various growth ages by combining an electronic nose (E-nose) system and machine learning with Fourier-transform infrared spectroscopy (FTIR) as a calibration technology. …”
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  12. 1752

    Impact of Adding Fast Switching Fault Current Limiter (FSFCL) to the Neutral Point of 220 kV Transformer by Lujian Dai, Jun Zhao, Meng Guo, Shuguo Gao, Chenmeng Xiang, Bin Wei, Weiqi Qin, Guoming Ma, Yuan Tian

    Published 2024-09-01
    “…The paper first analyzes the current-limiting performance of the FSFCL under different installation configurations, transformer operating conditions, and fault conditions through theoretical calculations. …”
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  13. 1753

    Flexible loop-closing scheme for distribution network based on cascaded power electronic transformer with multiple-AC-ports by LI Qian, ZHAO Junyu, WANG Shengnan, XIE Sizhe, XU Yonghai, WEN Xian

    Published 2025-07-01
    “…For this application scenario and the demand for uninterrupted loop-closing load transfer, flexible loop-closing can be achieved based on the control of different ports of power electronic transformers to expand its application functions. …”
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  14. 1754

    The Comparison of De Novo Grade 3 Follicular Lymphoma and Transformed Grade 3 Follicular Lymphoma: Own Data by LV Plastinina, AM Kovrigina, TN Obukhova, ES Nesterova, AU Magomedova, YaK Mangasarova, AE Misyurina, FE Babaeva, SM Kulikov, AI Vorob’ev, SK Kravchenko

    Published 2017-10-01
    “…We described the morphological, immunohistochemical and cytogenetical characteristics of grade 3 de novo FL and grade 3 FL, transformed from grades 1 or 2. The described variants show different sensitivity to immunochemotherapy.…”
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  15. 1755

    Transforming a Cantilever with Fixed Joints into Trussed Configurations: A Case Study in Creative Design Thinking & Prototyping by Filz Günther H., Eberle Robert, Nagl Pia V., Weinold Thomas

    Published 2025-05-01
    “…In this study, a Y-shaped, polyhedral cantilever with fixed joints was transformed into five different trussed configurations using universal joints. …”
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  16. 1756

    The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer by Leilei Xie, Fenghua Zhu, Zhixue Wang

    Published 2025-05-01
    “…Traditional spatial pyramid pooling methods fuse multi-scale feature information but lack adaptability in dynamically adjusting convolution operations based on their actual needs. …”
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  17. 1757

    Temporal change of urea biochemical transformations and temperature sensitivity of ammonia volatilization in soil textural classes in the brazilian Cerrado by Mateus Henrique dos Santos Diniz, Fernando César Ferreira, Adão de Siqueira Ferreira

    Published 2025-05-01
    “…IntroductionSoil biochemical transformation of urea has important impacts on nitrogen (N) use efficiency in agricultural systems and environmental pollution, mainly due to N losses through ammonia volatilization (AV).MethodsThe present study aimed to evaluate and model the biochemical transformation of urea and ammonia volatilization in response to different urea doses and temperature conditions over time in sandy loam (SL) and sandy clay loam (SCL) soils in the Brazilian Cerrado. …”
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  18. 1758

    Abstract 256: Proposal of multimodal CT‐based scoring system in prediction of hemorrhagic transformation in acute ischemic stroke by Nada Elsaid

    Published 2023-11-01
    “…Conclusion Multimodal CT‐based scoring system may provide highly reliable predictive model of hemorrhagic transformation in acute ischemic stroke.…”
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  19. 1759

    LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation. by Ming Li, Jingang Ma, Jing Zhao

    Published 2025-01-01
    “…This network adopts a large-kernel depthwise convolution attention mechanism to simulate the self-attention mechanism of Transformers. Firstly, inspired by the Swin Transformer module, we investigate different-sized large-kernel convolution attention mechanisms to obtain larger global receptive fields, and replace the MLP in the Swin Transformer with the Inverted Bottleneck with Depthwise Convolutional Augmentation to reduce channel redundancy and enhance feature expression and segmentation performance. …”
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  20. 1760

    Gas Chromatography/Atmospheric Pressure Chemical Ionization-Fourier Transform Ion Cyclotron Resonance Mass Spectrometry of Pyrolysis Oil from German Brown Coal by Jan Zuber, Marius M. Kroll, Philipp Rathsack, Matthias Otto

    Published 2016-01-01
    “…Development of this ultrahigh-resolving analysis method is described, that is, optimization of specific GC and APCI parameters and performed data processing. …”
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