[A lung sound classification model with a spatial and channel reconstruction convolutional module]. [PDF]
Ye N, Wu C, Jiang J.
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Preoperative CT radiomics<b>-</b>based model for predicting Ki<b>-</b>67 expression in clear cell renal cell carcinoma patients. [PDF]
Yang Z +5 more
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Liu HY +7 more
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Li J, Wu Z, Peng B.
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Zhang T +6 more
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本研究提出一种基于暂态录波技术的高压设备介损试验数据精准分析方法,解决复杂工况条件下信号扰动、波形失稳等难题,利用时频多尺度分解、自适应滤波和盲源分离等技术,实现高精度干扰抑制和工频分量稳定提取。利用多维特征参数融合和误差自适应修正方法,提高介损参数诊断的灵敏度和稳定性。结合典型工程案例验证,该方法具有较强的鲁棒性和预警能力,明显优于传统测量手段。研究成果可为高压设备绝缘状态在线监测和智能诊断提供技术支持,促进介损耗试验分析向多参数融合及智能化发展。
冯志睿
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