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    Landslide mapping with deep learning: the role of pre-/post-event SAR features and multi-sensor data fusion by Aiym Orynbaikyzy, Frauke Albrecht, Wei Yao, Mahdi Motagh, Wandi Wang, Sandro Martinis, Simon Plank

    Published 2025-12-01
    “…Landslide mapping is critically important for providing detailed spatial information on hazard extent in a timely manner that ultimately contributes to the protection of human lives and critical infrastructure. …”
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  14. 4514

    A Deep Learning Method for Inversing 3D Temperature Fields Using Sea Surface Data in Offshore China and the Northwest Pacific Ocean by Xiangyu Wu, Mengqi Zhang, Qingchang Wang, Xidong Wang, Jian Chen, Yinghao Qin

    Published 2024-12-01
    “…In recent years, with the rapid development of remote sensing data, deep learning methods have provided new ideas for the reconstruction of ocean information. In the present study, based on sea surface data, a deep learning model is constructed using the U-net method to reconstruct the three-dimensional temperature structure of the Northwest Pacific and offshore China. …”
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    A Comprehensive Survey on Detection of Ocular and Non-Ocular Diseases Using Color Fundus Images by Megha Gupta, Sneha Gupta, Gopinath Palanisamy, J. S. Nisha, Veerapu Goutham, S. Arun Kumar, K. Gavaskar, Ganesh R. Naik

    Published 2024-01-01
    “…Fundus images provide essential diagnostic information for a range of retinal and systemic conditions. …”
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  20. 4520

    Prognostic value of lymph node metrics in lung squamous cell carcinoma: an analysis of the SEER database by Lei Liu, Qiao Zhang, Shuai Jin, Lang Xie

    Published 2024-12-01
    “…A prognostic model was established using a multivariate Cox regression model, and the model was evaluated using the C index, Kaplan–Meier, the Akaike information criterion (AIC), decision curve analysis (DCA), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI), and the predictive efficacy of different models was compared. …”
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