机构

• 数学与系统科学研究... [15]
• 地理科学与资源研究所 [9]
• 自动化研究所 [5]
• 力学研究所 [3]
• 上海药物研究所 [1]
• 武汉岩土力学研究所 [1]
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采集方式

• OAI收割 [35]

内容类型

• 期刊论文 [31]
• SCI/SSCI论文 [3]
• 会议论文 [1]

发表日期

• 2026 [1]
• 2025 [1]
• 2024 [4]
• 2023 [3]
• 2022 [4]
• 2021 [5]
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学科主题

• Engineerin... [1]
• Geology [1]

筛选

浏览/检索结果: 共35条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Integrating spatiotemporal similarity for robust gap-filling in continuous surface water mapping with uncertainty quantification 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2026, 卷号: 234, 页码: 134-150 作者:  Xiao, Zhen;  Li, Runkui;  Song, Xianfeng;  Ding, Mingjun;  Liang, Shunlin   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Surface water  Gap-filling framework  Spatio-Temporal similarity  Uncertainty quantification  Landsat  Remote sensing   Bayesian analysis for varying coefficient autoregressive models 期刊论文  OAI收割 JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2025, 卷号: N/A 作者:  Wu, Ying;  Xiong, Shifeng;  Tang, Zhipeng;  Xiong, Hui   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 Gaussian process  massive data  reconstruction parameterization  uncertainty quantification   A stochastic Galerkin lattice Boltzmann method for incompressible fluid flows with uncertainties 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 517, 页码: 22 作者:  Zhong, Mingliang;  Xiao, Tianbai;  Krause, Mathias J.;  Frank, Martin;  Simonis, Stephan   |  收藏  |  浏览/下载：60/0  |  提交时间：2024/10/08 Stochastic Galerkin method  Generalized polynomial chaos  Uncertainty quantification  Lattice Boltzmann method  Incompressible fluid flow  Computational fluid dynamics  OpenLB   Revisiting Confidence Estimation: Towards Reliable Failure Prediction 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 5, 页码: 3370-3387 作者:  Zhu, Fei;  Zhang, Xu-Yao;  Cheng, Zhen;  Liu, Cheng-Lin   |  收藏  |  浏览/下载：57/0  |  提交时间：2024/07/03 Confidence estimation  uncertainty quantification  failure prediction  misclassification detection  selective classification  out-of-distribution detection  confidence calibration  model reliability  trustworthy  flat minima   Safe Motion Planning for Autonomous Vehicles by Quantifying Uncertainties of Deep Learning-Enabled Environment Perception 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 2318-2332 作者:  Li, Dachuan;  Liu, Bowen;  Huang, Zijian;  Hao, Qi;  Zhao, Dezong   |  收藏  |  浏览/下载：42/0  |  提交时间：2024/07/22 Uncertainty  Planning  Three-dimensional displays  Decision making  Detectors  Trajectory  Probabilistic logic  Autonomous driving  motion planning  object detection  Bayesian deep learning  uncertainty quantification   Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330 作者:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen   |  收藏  |  浏览/下载：65/0  |  提交时间：2024/05/22 Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification   A Flux Reconstruction Stochastic Galerkin Scheme for Hyperbolic Conservation Laws 期刊论文  OAI收割 JOURNAL OF SCIENTIFIC COMPUTING, 2023, 卷号: 95, 期号: 1, 页码: 18 作者:  Xiao TB(肖天白);  Kusch, Jonas;  Koellermeier, Julian;  Frank, Martin   |  收藏  |  浏览/下载：102/0  |  提交时间：2023/04/20 Computational fluid dynamics  High order methods  Flux reconstruction  Uncertainty quantification  Stochastic Galerkin   Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387 作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu   |  收藏  |  浏览/下载：51/0  |  提交时间：2023/05/29 Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)   Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift 期刊论文  OAI收割 Neural Computing and Applications, 2023, 页码: 28 作者:  Wang Huanjie;  Bai Xiwei;  Tan Jie;  Liu Chengbao   |  收藏  |  浏览/下载：36/0  |  提交时间：2023/06/19 Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network   Monte Carlo fPINNs: Deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 400, 页码: 17 作者:  Guo, Ling;  Wu, Hao;  Yu, Xiaochen;  Zhou, Tao   |  收藏  |  浏览/下载：68/0  |  提交时间：2023/02/07 Physics -informed neural networks  Fractional Laplacian  Nonlocal operators  Uncertainty quantification