云南高校图书馆联盟文献共享服务平台- DENSE

DENSE: 作品数：714被引量：1713H指数：16; 导出分析报告; 相关领域：理学更多>>; 相关作者：吴艳兰李云红王振宇鞠忠建黄胜更多>>; 相关机构：东南大学太原科技大学北京邮电大学中国石油大学（华东）更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

基于深度学习的风机机组运行故障自动化监测系统: 《电子设计工程》2025年第7期95-98,共4页闫浩伟; 为了获得更优的风机机组故障监测结果,设计基于深度学习的风机机组运行故障自动化监测系统。采集风机机组运行高清图像,利用改进Stentiford视觉模型提取巡视图像的感兴趣区域,并迅速定位巡视图像的重要信息;通过基于DenseNet网络设计风...; 关键词：深度学习风机机组运行故障监测感兴趣区域 DenseNet网络

基于联合模型的脉冲星候选体筛选方法研究: 《德州学院学报》2025年第2期7-12,18,共7页石纯高袁浩然赵一王洪丰; 作为一种快速旋转的中子星,脉冲星除了具有强磁场以及强引力的作用之外,其自身的特点是具有稳定的自转周期。现代射电望远镜数据量的增加,搜索到大量的候选样本,人工智能技术在脉冲星候选识别领域为解决海量数据的识别发挥着日益重要的...; 关键词：脉冲星筛选 ConvNeXt网络 DenseNet网络联合模型

High-resolution shallow structures of the Red River fault zone in the southeastern Tibetan Plateau of China revealed by multiple seismic dense linear arrays: 《Earth and Planetary Physics》2025年第2期195-211,共17页HongYu Ni JunLun Li Bao Deng JinYu Zhang YuanChao Lu Yan Zhao JianYe Chen Peng Su; funded by the National Key Research and Development Project of China (Grant No. 2021YFC3000600);the China Earthquake Science Experiment Field-Cross-fault Observation Array-Red River Fault Scientific Drilling Project Geophysical Prospecting Site Selection Project;Anhui Province Science and Technology Breakthrough Plan Project (Key Project,202423l10050030);the Earthquake Science and Technology Spark Program of the China Earthquake Administration (XH23020YA);the Anhui Mengcheng National Geophysical Observatory Joint Open Fund (MENGO-202307)。; The complex Red River fault zone(RRFZ), which is situated in the southwestern region of China and separates the Indochina plate and South China blocks, has diverse seismic activities in different segments. To reveal t...; 关键词：Red River fault zone shallow fault structure seismic dense array ambient noise tomography extended range phase shift method

Earthquake monitoring and high-resolution velocity tomography for the central Longmenshan fault zone by a temporary dense seismic array: 《Earth and Planetary Physics》2025年第2期239-252,共14页ShaoBo Yang HaiJiang Zhang MaoMao Wang Ji Gao Shuaijun Wang BaoJin Liu XiWei Xu; supported by the Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology under Grant 2024yjrc64;the National Key R&D Program of China under Grant 2018YFC1504102。; The Longmenshan(LMS) fault zone is located at the junction of the eastern Tibetan Plateau and the Sichuan Basin and is of great significance for studying regional tectonics and earthquake hazards. Although regional ve...; 关键词：Longmenshan fault zone dense seismic array deep learning double-difference seismic tomography seismic velocity model earthquake locations fault geometry

Dense Small Target Image Detection Algorithm Based on the Improved YOLOv8: 《印刷与数字媒体技术研究》2025年第2期65-71,97,共8页MA Jing-yu SI Zhan-jun; The YOLOv8 model faces challenges with dense target distribution and small size,resulting in lower accuracy in dense small target detection.To address these issues,an improved small target detection algorithm based on...; 关键词：YOLOv8 Small targets GAM SPD

A review on multi-scale structure engineering of carbon-based electrode materials towards dense energy storage for supercapacitors: 《Journal of Energy Chemistry》2025年第3期768-799,共32页Dongyang Wu Fei Sun Min Xie Hua Wang Wei Fan Jihui Gao Guangbo Zhao Shaoqin Liu; funded by the Joint Fund for Regional Innovation and Development of National Natural Science Foundation of China(U21A20143);the National Science Fund for Excellent Young Scholars(52322607);the Excellent Youth Foundation of Heilongjiang Scientific Committee(YQ2022E028)。; Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based elect...; 关键词：SUPERCAPACITORS Carbon-based electrodes Volumetric performances Multi-scale structure Dense energy storage

A model LayerDFN for characterizing the inherent anisotropic rocks with large-scale and dense joints: 《Journal of Rock Mechanics and Geotechnical Engineering》2025年第3期1569-1584,共16页Gang Han Shuling Huang Chuanqing Zhang Xiuli Ding Yuting Zhang Yang Gao Jun He; supported by financial support from the National Natural Science Foundation of China(Grant Nos.52309122 and U2340229);the Innovation Team of Changjiang River Scientific Research Institute(Grant No.CKSF2024329/YT).; Large-scale and heavily jointed rocks have inherent planes of anisotropy and secondary structural planes,such as dominant joint sets and random fractures,which result in significant differences in their failure mechan...; 关键词：Inherent anisotropic rocks Secondary structural planes Constitutive model Crack tensor Damage tensor

A thermodynamically complete multi-phase equation of state for dense and porous metals at wide ranges of temperature and pressure: 《Chinese Physics B》2025年第3期499-504,共6页Yanhong Zhao Li-Fang Wang Qili Zhang Le Zhang Hongzhou Song Xingyu Gao Bo Sun Haifeng Liu Haifeng Song; Project supported by the National Natural Science Foundation of China(Grant Nos.12205023,U2230401,12374056,U23A20537,11904027)。; A thermodynamically complete multi-phase equation of state(EOS)applicable to both dense and porous metals at wide ranges of temperature and pressure is constructed.A standard three-term decomposition of the Helmholtz ...; 关键词：equation of state multi-phase model porous metal

基于CAM-DenseNet模型的邮轮薄板焊缝缺陷识别算法: 《造船技术》2025年第1期78-84,共7页黎林发王岳; 江苏省研究生科研与实践创新计划项目(编号:SJCX23_2212)。; 邮轮薄板焊缝的熔深和熔宽相对较小,母材与焊缝区域差异性小,焊缝表面缺陷较难判别。为准确地定位焊缝位置,提出一种将注意力机制的坐标注意力模块(Coordinate Attention Module,CAM)融入密集链接卷积网络(Densely Connected Convolutio...; 关键词：邮轮薄板焊缝缺陷识别算法深度学习密集链接卷积网络坐标注意力模块 CAM-DenseNet模型激活函数贝叶斯优化算法

基于I_CBAM-DenseNet模型的小麦发育期识别研究: 《南京信息工程大学学报》2025年第1期42-52,共11页付景枝马悦宏观刘云平吴文宇丁明明尹泽凡; 国家自然科学基金(51305210);江苏省自然科学基金(BK20150924)。; 针对我国农作物发育期人工观测效率低、识别准确率不高等问题,提出一种基于I_CBAM-DenseNet模型的小麦发育期识别方法.该方法以密集连接卷积网络(DenseNet)为主干提取网络,融入卷积块注意模块CBAM.先将CBAM中的空间注意力模块(SAM)与通...; 关键词：小麦发育期 DenseNet 卷积块注意模块(CBAM)

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