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浏览/检索结果: 共1851条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Evaluation of initial geostress field of underground powerhouse in the complex alteration area of western Sichuan based on back-propagation neural network method 期刊论文  OAI收割 GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES, 2025, 卷号: 11, 期号: 1, 页码: 25 作者:  Zheng, Hong;  Cao, Shiqi;  Jiang, Quan;  Li, Shaojun;  Xu, Dingping   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/06/27 Alteration development features  Classification of altered rocks  Back-propagation neural network  Geostress inversion   Damage assessment of ultra-high-performance concrete protective wall against gaseous explosion 期刊论文  OAI收割 ENGINEERING STRUCTURES, 2025, 卷号: 332, 页码: 14 作者:  Chen, Di;  Li, Jun;  Liu, Jian;  Wu, Chengqing   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/06/27 UHPC  Damage assessment  Gaseous explosion  KCC model  Artificial neural network   Estimation of Day-Time Seeing Changes at Huairou Solar Observing Station Based on Neural Networks from 1989 to 2010 期刊论文  OAI收割 UNIVERSE, 2025, 卷号: 11, 期号: 6 作者:  Hu, Xing;  Yang, Shangbin;  Song TF(宋腾飞);  Bao, Xingming;  Sun, Wenjun   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/07/14 day-time seeing  neural network  estimation  error analysis   Inverse multi-parameter analysis of oblique incidence laser interaction based on a multivariate thermal-mechanical response 期刊论文  OAI收割 THIN-WALLED STRUCTURES, 2025, 卷号: 210, 页码: 16 作者:  Du WQ(杜文琦);  Ma T(马特);  Lu LL(路玲玲);  Song HW(宋宏伟);  Liu YH(刘赟浩)   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/02/24 Laser identification  Multi-parameter inverse problem solution  Oblique incidence  Multivariate thermal-mechanical response  Physics-guided neural network   A wave-shaped CNN for marine-raft aquaculture-area extraction in SAR images 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2025, 卷号: 232, 页码: 110078 作者:  Guo, Yanjun;  Du, Yunyan;  Yan, Ming;  Xie, Ting;  Liu, Moyun   |  收藏  |  浏览/下载：19/0  |  提交时间：2025/04/21 Remote sensing  Synthetic aperture radar (SAR) images  Marine-floating-raft aquaculture  Deep learning  Convolutional neural network (CNN)   A deep learning architecture for aligning cross-domain geographic knowledge graph 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2025, 卷号: N/A 作者:  Qiu, Qinjun;  Zheng, Shiyu;  Li, Jiali;  Tian, Miao;  Li, Zixuan   |  收藏  |  浏览/下载：14/0  |  提交时间：2025/04/21 Knowledge graph alignment  graph neural network  geographic text  geographic information retrieval  deep learning   Neural texture synthesis and style transfer of coal-rock images in coal mine heading faces using very deep convolutional networks 期刊论文  OAI收割 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2025, 卷号: 157, 页码: 20 作者:  Xu, Shuzhan;  Liu, Quansheng;  Yu, Honggan;  Huang, Xing;  Bo, Yin   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/06/27 Coal-rock recognition  Neural style transfer  Image synthesis  Region similarity transform  VGG network  Bilateral segmentation network   Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 6798 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：8/0  |  提交时间：2025/04/21 Artificial neural network  Long short-term memory  Deep Learning  Ozone   Trajectory-User Linking via Multi-Scale Graph Attention Network 期刊论文  OAI收割 PATTERN RECOGNITION, 2025, 卷号: 158, 页码: 16 作者:  Li, Yujie;  Sun, Tao;  Shao, Zezhi;  Zhen, Yiqiang;  Xu, Yongjun   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/12/06 Trajectory-user linking  Graph neural network  Trajectory classification  Spatio-temporal data mining  Check-in data   Risk assessment of water inrush from coal floor based on enhanced samples with class distribution 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 16 作者:  Liu, Shiwei;  Zhao, Jiaxin;  Yu, Hao;  Chen, Jiaqi   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/06/27 Coal mining above a confined aquifer  Risk of water inrush from coal floor  Small sample  Data augmentation  Neural network