云南高校图书馆联盟文献共享服务平台- S-TRANSFORM

S-TRANSFORM: 作品数：33被引量：60H指数：4; 导出分析报告; 相关作者：陆惠玲张金明杜正聪胥德平马宏斌更多>>; 相关机构：宁夏医科大学北方民族大学沈阳化工大学太原科技大学更多>>; 相关期刊：《物联网技术》《Digital Communications and Networks》《光学精密工程》《Science China Mathematics》更多>>; 相关基金：国家自然科学基金黑龙江省自然科学基金更多>>

Cauchy-Stieltjes Kernel Families and Free Multiplicative Convolution: 《Communications in Mathematics and Statistics》2024年第4期679-694,共16页Raouf Fakhfakh Abdelhamid Hassairi; supported by the Deanship of Scientific Research at Jouf University through research Grant No.(DSR-2021-03-03188).; In this paper,we determine the effect of the free multiplicative convolution on the pseudo-variance function of a Cauchy-Stieltjes kernel family.We then use the machinery of variance functions to establish some limit ...; 关键词：Variance function Cauchy kernel Free multiplicative convolution S-TRANSFORM

DRT Net:面向特征增强的双残差Res-Transformer肺炎识别模型: 《光学精密工程》2024年第5期714-726,共13页周涛彭彩月杜玉虎党培刘凤珍陆惠玲; 国家自然科学基金资助项目(No.62062003);宁夏自然科学基金资助项目(No.2022AAC03149)。; 针对肺部X射线图像的病灶区域较小、形状复杂,与正常组织间的边界模糊,使得肺炎图像中的病灶特征提取不充分的问题,提出了一个面向特征增强的双残差Res-Transformer肺炎识别模型,设计3种不同的特征增强策略对模型特征提取能力进行增强...; 关键词：肺炎识别 X射线图像特征增强双残差结构 Transformer

M^(3)Res-Transformer:新冠肺炎胸部X-ray图像识别模型被引量：3: 《电子学报》2024年第2期589-601,共13页周涛刘赟璨侯森宝常晓玉叶鑫宇陆惠玲; 国家自然科学基金(No.62062003);宁夏自治区重点研发计划(No.2020BEB04022);北方民族大学研究生创新项目(No.YCX22198,No.YCX22190)。; 新冠肺炎(COVID-19)自爆发以来严重影响人类生命健康,近年来残差神经网络广泛应用于COVID-19识别任务中,辅助医生快速地诊断COVID-19患者,但是COVID-19图像病变区域形状复杂、大小不一,与周围组织的边界模糊,导致网络难以提取有效特征....; 关键词：COVID-19 胸部X-ray图像残差神经网络 vision transformer 注意力机制

基于Res-Transformer模型的语音情感识别方法研究被引量：2: 《物联网技术》2023年第6期36-39,44,共5页刘方如王亮; 针对语音情感识别中数据样本不足、识别准确率不高等问题,本文将深度残差网络(Resnet)和Transformer模型相结合,设计了一种基于Resnet结构和Transformer结构的Res-Transformer模型,该模型由两个并行的Resnet结构和Transformer编码器结...; 关键词：语音情感识别深度残差网络 Transformer编码器 MFCC特征高斯白噪声中心损失函数

一种基于FAS-Transformer的人脸防伪方法: 《黑龙江大学自然科学学报》2023年第3期369-378,共10页魏鑫马宏斌王英丽; 黑龙江省自然科学基金(YQ2020F012);装备重大基础研究项目。; 针对人脸防伪方法在应对不同表征攻击和未知表征攻击时,普遍存在有效性和泛化性差的问题,提出了一种人脸防伪方法。将在自然语言处理领域应用的注意力机制引入人脸防伪任务,获取特征之间的成对相似性关系,提升方法的有效性和泛化性。针...; 关键词：注意力机制人脸防伪迁移学习 FAS-Transformer

Recognition of Hybrid PQ Disturbances Based on Multi-Resolution S-Transform and Decision Tree: 《Energy Engineering》2023年第5期1133-1148,共16页Feng Zhao Di Liao Xiaoqiang Chen Ying Wang; Foundation of China(No.52067013);the Key Natural Science Fund Project of Gansu Provincial Department of Science and Technology(No.21JR7RA280);the Tianyou Innovation Team Science Foundation of Intelligent Power Supply and State Perception for Rail Transit(No.TY202010);the Natural Science Foundation of Gansu Province(No.20JR5RA395).; Aiming at the problems of multiple types of power quality composite disturbances,strong feature correlation and high recognition error rate,a method of power quality composite disturbances identification based on mult...; 关键词：Hybrid power quality disturbances disturbances recognition multi-resolution S-transform decision tree

Identification Method for Users-Transformer Relationship in Station Area Based on Local Selective Combination in Parallel Outlier Ensembles Algorithm: 《Energy Engineering》2023年第3期681-700,共20页Yunlong Ma Junwei Niu Bo Xu Xingtao Song Wei Huang Guoqiang Sun; In the power distribution system,the missing or incorrect file of users-transformer relationship(UTR)in lowvoltage station area(LVSA)will affect the leanmanagement of the LVSA,and the operation andmaintenance of the d...; 关键词：Low-voltage station area users-transformer relationship identification line loss ensemble learning LSCP algorithm

High impedance fault detection in distribution network based on S-transform and average singular entropy被引量：3: 《Global Energy Interconnection》2023年第1期64-80,共17页Xiaofeng Zeng Wei Gao Gengjie Yang; financial supported by the Natural Science Foundation of Fujian,China(2021J01633).; When a high impedance fault(HIF)occurs in a distribution network,the detection efficiency of traditional protection devices is strongly limited by the weak fault information.In this study,a method based on S-transform...; 关键词：High impedance fault(HIF) Wavelet packet transform(WPT) S-transform(ST) Singular entropy(SE)

Time-extracting S-transform algorithm and its application in rolling bearing fault diagnosis被引量：5: 《Science China(Technological Sciences)》2022年第4期932-942,共11页XU YongGang WANG Liang HU AiJun YU Gang; supported by the National Natural Science Foundation of China (Grant Nos. 51775005 and 51675009); Time-frequency(TF)analysis(TFA)is one of the effective methods to deal with non-stationary signals.Due to their advantages,many experts and scholars have recently developed post-processing algorithms based on traditio...; 关键词：time-extracting S-transform time-frequency analysis pulse signal fault diagnosis short-time Fourier transform

Study on Azimuth Variation of Airgun Signal Propagation: 《Earthquake Research in China》2019年第4期557-572,共16页HE Suge ZHOU Qingyun; the Science for Earthquake Resilience of China Earthquake Administration(XH18042Y);the Science and Technology Special Project of Yunnan Earthquake Agency(2018ZX02); Based on the data recorded by the observation network during the intensive excitation period from November to December 2015 at Binchuan Earthquake Signal Transmitting Seismic Station(BESTSS)in Yunnan Province,the nois...; 关键词：Airgun source Azimuth change S-TRANSFORM Template matched filtering Crustal medium change

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