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    Quality of tracking methods with object reidentification by N. A. Maltceva, A. A. Polozov, N. V. Papulovskaya, S. L. Goldshtein

    Published 2024-10-01
    “…The study used the Re-Identification MSMT17, Market1501, DukeMTMCreID datasets; specialized neural networks OsNet, ResNet and MobileNet. Tracking algorithms BotSort, Bytetrack, OcSort, DeepOcSort, StrongSort. …”
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  3. 2663

    Sanctions and Foreign Direct Investment: Damage to Russia and Sanctioning Countries by S. V. Kazantsev

    Published 2020-11-01
    “…In particular, the author shows that the reduction in the foreign direct investment net inflows from Russia to the sanctioning countries was less significant for the leading EU States — Germany, France and United Kingdom — than for many other sanctioning countries The cuts in Russia’s foreign direct investment net outflows had almost no impact on the United States who was the main initiator of anti-Russian sanctions.…”
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    High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

    Published 2025-06-01
    “…The proposed EDeepLab outperforms other models including U-Net, ResNet and fully convolutional networks in the quantitative analysis of tiny cracks and noise interference.…”
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    A Cross-Spatial Differential Localization Network for Remote Sensing Change Captioning by Ruijie Wu, Hao Ye, Xiangying Liu, Zhenzhen Li, Chenhao Sun, Jiajia Wu

    Published 2025-07-01
    “…Finally, a causal Transformer decoder creates accurate descriptions by linking visual information with text. CTSD-Net achieved BLEU-4 scores of 66.32 and 73.84 on the LEVIR-CC and WHU-CDC datasets, respectively, outperforming existing methods in accurately locating change areas and describing them semantically. …”
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    Citrus Disease Classification Model Based on Improved ConvNeXt by Jichi Yan, Yongbin Mo, Yannan Yu, Shiqing Dou, Rongfeng Yang

    Published 2024-01-01
    “…Finally, the transfer learning method is used to conduct pre-training with ImageNet weight information to reduce the impact of insufficient samples. …”
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    A Federated Learning-Based Framework for Accurately Identifying Human Activity in the Environment by Nwadher Suliman Al-Blihed, Dina M. Ibrahim

    Published 2025-01-01
    “…Our study yielded promising results: ResNet—which, to the best of our knowledge, has not been used in previous studies in this context—achieved the best results with five clients, attaining a 93.05% Accuracy.…”
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