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  1. 1001

    XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

    Published 2025-06-01
    “…This study introduces XSE-TomatoNet, an enhanced version of EfficientNetB0, incorporating Squeeze-and-Excitation (SE) blocks and multi-scale feature fusion to boost classification performance. …”
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    Efficacy and safety of left bundle branch area pacing versus biventricular pacing in heart failure patients with left bundle branch block: study protocol for a randomised controlled trial by Lin Zhao, Liting Cheng, Junmeng Zhang, Zefeng Wang, Mengge Zhou, Zhuo Liang, Jieruo Chen, Yongquan Wu

    Published 2020-09-01
    “…However, no randomised controlled study has evaluated the efficacy and safety of LBBaP in heart failure patients with left bundle branch block (LBBB). Therefore, we aimed to conduct this type of randomised controlled trial.Methods and analysis This study is a single-centre, randomised controlled non-inferiority trial. …”
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    Intelligent characterization of ultra-deep carbonate strike-slip fault zones based on 3DResNeSt-UNet: a case study of the YueMan Block in the Tarim Basin by Jin Hu, Shouyu Xu

    Published 2025-01-01
    “…The trained model achieves good recognition results on the seismic data of the YueMan block. Compared with traditional seismic interpretation results, the model’s recognition accuracy is significantly improved and more aligned with geological understanding. …”
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