针对声音信号分析在诊断带式输送机托辊故障中的高维特征存在信息冗余、计算量大和诊断效果不理想等问题,笔者构建了声音信号特征精简策略,基于Circle混沌映射、Levy飞行策略和正弦因子改进了霜冰优化算法(rime optimization algorithm,简称RIME),记作CLSRIME。再结合极致梯度提升模型(extreme gradient boosting,简称XGBOOST),构建了CLSRIME‑XGBOOST带式输送机托辊轴承故障诊断方法。首先,利用梅尔倒谱系数(Mel⁃scale ...
doaj +1 more source
[Research progress on quantitative magnetic susceptibility imaging reconstruction method based on improved U-network model]. [PDF]
Yang W, Zhang R, Keung S.
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[Advances in application of digital orthopedic technology in total hip arthroplasty for developmental dysplasia of hip]. [PDF]
Zhang B, Li H, Li M, Kong X, Chai W.
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[Comparative study on the accuracy of extraoral scanning versus intraoral scanning in digital impressions for implant restoration in edentulous jaws]. [PDF]
Yang Y +7 more
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[Application of an interpretable neural network framework based on the LASSO-proj algorithm for warfarin dose prediction]. [PDF]
Zhong C, Zhu Y, Gu X.
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[Discrimination of macrotrabecular-massive hepatocellular carcinoma based on fusion of multi-phase contrast-enhanced computed tomography radiomics features]. [PDF]
Zhang Z +7 more
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[A motor imagery decoding study integrating differential attention with a multi-scale adaptive temporal convolutional network]. [PDF]
Dong Z, Bao X, Yang Y, Wu J.
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“原本”与“改变”的颠倒:论日常因果叙事的本体论错位 [PDF]
本文提出并论证一个关于日常因果叙事的根本性颠倒:在“某行为改变了某事态”这类表述中,我们所设想的“原本”状态(未干预前的假设状态)并非宇宙动力学流变的真实样貌,而所谓“改变后”的状态,恰恰是宇宙唯一且本然的动力学流变。这一颠倒源于人类认知将自身建构的反事实模型(“如果我不干预,则X会发生”)误认为本体论上优先的“默认路径”,从而制造出“我改变了世界进程”的幻象。通过剖析这一认知错位的结构、根源与影响,本文指出,传统因果叙事在本体论上是一种系统性的“时间与逻辑的误置”,它遮蔽了宇宙流变唯一、必然且不可 ...
Yu, Xiaoyang
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[Progresses on temporal interference electromagnetic stimulation for non-invasive deep brain function modulation]. [PDF]
Zhou T, Yu P, Xu Y.
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