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• 力学研究所 [3]
• 地理科学与资源研究所 [3]
• 自动化研究所 [3]
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• OAI收割 [14]

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• 期刊论文 [12]
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• 2024 [1]
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筛选

浏览/检索结果: 共14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 A novel remote sensing method for monitoring Large-Scale grassland aboveground Biomass: The case study of grassland key belt in the Tibetan Plateau 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2024, 卷号: 169, 页码: 13 作者:  Wang, Juan;  Zhang, Aiwu;  Shi, Jiancong;  Kang, Xiaoyan;  He, Nianpeng   |  收藏  |  浏览/下载：12/0  |  提交时间：2025/03/03 Grassland key belt  Tibetan Plateau  Gradient variation of aboveground biomass  Multimodal features  Radiometric bit-depth & residual quantization   A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932 作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/09/07 Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth   Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong   |  收藏  |  浏览/下载：75/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling   Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling   Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文  OAI收割 Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560 作者:     |  收藏  |  浏览/下载：19/0  |  提交时间：2020/04/30 Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction   Color-Guided Depth Map Super-Resolution Using a Dual-Branch Multi-Scale Residual Network with Channel Interaction 期刊论文  OAI收割 SENSORS, 2020, 卷号: 20, 期号: 6, 页码: 16 作者:  Chen, Ruijin;  Gao, Wei   |  收藏  |  浏览/下载：15/0  |  提交时间：2020/06/22 depth map  super-resolution  guidance  residual network  channel interaction   Scaling Law in Laser-Induced Shock Effects of NiTi Shape Memory Alloy 期刊论文  OAI收割 METALS, 2018, 卷号: 8, 期号: 3, 页码: 174 作者:  Wang X(王曦);  Xia WG(夏伟光);  Wu XQ(吴先前);  Huang CG(黄晨光) 收藏  |  浏览/下载：42/0  |  提交时间：2018/07/17 Shape Memory Alloy  Laser Shock Peening  Dimensionless Parameters  Residual Stress  Plastically Affected Depth   Sensitivity analysis of the residual depth about the residual velocity in the angle domain 期刊论文  OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2015, 卷号: 58, 期号: 8, 页码: 2927-2934 作者:  Xu Jia-Liang;  Chang Xu;  Wang Yi-Bo   |  收藏  |  浏览/下载：16/0  |  提交时间：2017/12/07 Migration velocity analysis in depth domain  Angle domain common image gathers  Residual depth  Residual velocity   Parametric study on single shot peening by dimensional analysis method incorporated with finite element method 期刊论文  OAI收割 ACTA MECHANICA SINICA, 2012, 卷号: 28, 期号: 3, 页码: 825-837 作者:   收藏  |  浏览/下载：28/0  |  提交时间：2013/01/18 Shot peening  Maximum compressive residual stress  Maximum depth of the dent  Dimensional analysis method  Finite element method  Induced Residual-Stresses  Prediction  Simulation   A study on the properties of the 12 May Wenchuan earthquake-induced debris flow 会议论文  OAI收割 Padua, 2011 作者:  Han, Y.S.;  Han, J.;  Zhu, Y.Y.;  Kong, Y.P.;  Su, F.H.   |  收藏  |  浏览/下载：26/0  |  提交时间：2018/11/08 Debris flows  Flow depth  Residual layers  Roll waves  Velocity profiles