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    Swin Attention Augmented Residual Network: a fine-grained pest image recognition method by Xiang Wang, Zhiyong Xiao, Zhaohong Deng

    Published 2025-06-01
    “…To address these challenges, we propose an improved pest identification method based on the Swin Transformer architecture, named Swin-AARNet (Attention Augmented Residual Network). …”
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  4. 284

    A method of synthetic spoofing speech detection using self-supervised contrastive learning by YANG Man, JIAN Zhihua, LIANG Chenghan

    Published 2024-11-01
    “…In this method, the samples after pitch transformation were regarded as negative samples, and the neural network was trained to make the anchor sample features different from the negative sample features, so that the network could extract the features sensitive to pitch transformation. …”
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  5. 285
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    Evaluation and Comparison of the Knowledge Levels of Current Artificial Intelligence Programs on Retinal/Vitreous Diseases and Treatment Methods by Eyupcan Sensoy, Mehmet Citirik

    Published 2024-10-01
    “…Methods Forty-six questions related to retinal and vitreous diseases and treatment modalities were asked to ChatGPT, Bing, and Bard chatbots. …”
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  7. 287

    Study on Few-Shot Fault Diagnosis Method for Marine Fuel Systems Based on DT-SViT-KNN by Shankai Li, Liang Qi, Jiayu Shi, Han Xiao, Bin Da, Runkang Tang, Danfeng Zuo

    Published 2024-12-01
    “…To address the challenge of current data-driven fault-diagnosis-based methods, which have difficulty in feature extraction and low accuracy under small samples, this paper proposes a fault diagnosis method based on digital twin (DT), Siamese Vision Transformer (SViT), and K-Nearest Neighbor (KNN). …”
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  8. 288
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    Orchard Navigation Method Based on RS-SC Loop Frame Search Method and SLAM Technology by Ning Xu, Qingshan Meng, Fengping Liu, Zhihe Li, Guangming Wang, Na Guo, Wenxuan Wu

    Published 2025-01-01
    “…According to the environmental characteristics of apple orchard, the research preprocessed the point cloud data collected by LiDAR, and combined with the LiDAR odometer method based on line and plane feature point matching, the pose estimation and map construction were carried out. …”
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    Endurance determination of different buckwheat cultivars to aluminum by FTIR spectrum by ZHANG Ya-nan, WANG Ying, CHEN Qi, HUANG Shu-shi, LI Kun-zhi

    Published 2010-11-01
    “…The Al-tolerance of two different varieties (Chun-Hong 1, Chun-Hong 4) of buckwheat was analyzed and identified by Fourier transform infrared (FTIR) spectroscopy and conventional experimental method of root elongation. …”
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    A Multilevel and Hierarchical Approach for Multilabel Classification Model in SDGs Research by Berliana Sugiarti Putri, Lya Hulliyyatus Suadaa, Efri Diah Utami

    Published 2025-02-01
    “…Problem transformation methods used were binary relevance, label powerset (LP), and classifier chains. …”
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  14. 294

    Investigating the truncated fractional telegraph equation in engineering: Solitary wave solutions, chaotic and sensitivity analysis by Usman Younas, Jan Muhammad, Muhammad Amin S. Murad, D.K. Almutairi, Aziz Khan, Thabet Abdeljawad

    Published 2025-03-01
    “…Furthermore, two recently developed integration tools known as the generalized Arnous approach and modified F-expansion method have been adopted for analyzing the studied model. …”
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    Establishment of methods for identifying rapidly and precisely transgenic rice and soybean containing herbicide-resistant gene bar and EPSPS by MA Lin, ZHOU Lian, ZHOU Zheng-jian, TANG Gui-xiang, SHEN Zhi-cheng, SHOU Hui-xia

    Published 2012-11-01
    “…Thus, the development of methods for identifying transgenic plants in a robust, precise manner is of great importance.In this study, we assessed different methods for identifying rapidly and precisely transgenic rice and soybean plants containing herbicide resistant genes, including phosphinothricin acetyl transferase gene (bar) and modified 5-enolpyruvylshikimate-3-phosphate synthase gene (EPSPS). …”
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    Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

    Published 2025-06-01
    “…The method combines the advantages of convolutional neural networks (CNN) and Vision Transformers (ViT) to effectively realize hierarchical feature extraction and classification of SEM images of fracture morphologies, enabling accurate identification of metal failure mechanisms at different scales. …”
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  19. 299

    Three-Dimensional Axisymmetric Analysis of Annular One-Dimensional Hexagonal Piezoelectric Quasicrystal Actuator/Sensor with Different Configurations by Yang Li, Yang Gao

    Published 2024-11-01
    “…Subsequently, the propagator matrix method and inverse Hankel transform are used together to achieve the exact axisymmetric solution for the annular one-dimensional hexagonal piezoelectric quasicrystal actuator/sensor. …”
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  20. 300

    Acoustic Emission Signal Recognition of Different Rocks Using Wavelet Transform and Artificial Neural Network by Xiangxin Liu, Zhengzhao Liang, Yanbo Zhang, Xianzhen Wu, Zhiyi Liao

    Published 2015-01-01
    “…The wavelet transform provided a powerful method to acquire the basic characteristics of the rock AE and the environmental noises, such as the energy spectrum and the peak frequency, and the ANN was proved to be a good method to recognize AE signals from different types of rocks and the environmental noises.…”
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