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浏览/检索结果: 共85条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Active Disparity Sampling for Stereo Matching With Adjoint Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 354-365 作者:  Zhang, Chenghao;  Meng, Gaofeng;  Tian, Kun;  Ni, Bolin;  Xiang, Shiming   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/02/21 Stereo matching  domain generalization  active sampling  adjoint network  Bayesian optimization   Large-scale spatiotemporal deep learning predicting urban residential indoor PM2.5 concentration 期刊论文  OAI收割 ENVIRONMENT INTERNATIONAL, 2023, 卷号: 182, 页码: 12 作者:  Dai, Hui;  Liu, Yumeng;  Wang, Jianghao;  Ren, Jun;  Gao, Yao   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/01/22 Indoor PM 2.5  Bayesian neural network  Low-cost sensor  Human exposure  Health effect   Point and interval estimation of rock mass boreability for tunnel boring machine using an improved attribute-weighted deep belief network 期刊论文  OAI收割 ACTA GEOTECHNICA, 2023, 卷号: 18, 期号: 4, 页码: 1769 作者:  Yin, Xin;  Huang, Xing;  Pan, Yucong;  Liu, Quansheng   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/08/02 Bayesian optimization  Deep belief network  Field penetration index  Point and interval estimation  Rock mass boreability  Tunnel boring machine   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：9/0  |  提交时间：2023/06/19 Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network   An advanced plasma current tomography method based on Bayesian inference and neural networks for real-time application 期刊论文  OAI收割 PLASMA PHYSICS AND CONTROLLED FUSION, 2022, 卷号: 64 作者:  Liu, Zijie;  Luo, Zhengping;  Wang, Tianbo;  Huang, Yao;  Wang, Yuehang   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/12/23 plasma current tomography  Bayesian inference  neural network   Water depth and land-use intensity indirectly determine phytoplankton functional diversity and further regulate resource use efficiency at a multi-lake scale 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 834, 页码: 13 作者:  Zhou, Qichao;  Zhang, Yun;  Tao, Juan;  Ye, Lin;  Wang, Haijun   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/10/14 Phytoplankton  Biodiversity-ecosystem functioning (BEF)  Lake depth  Land use  Total phosphorus  Bayesian network   Effect of physical geographic and socioeconomic processes on interactions among ecosystem services based on machine learning 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 359, 页码: 11 作者:  Sun, Xiaoyin;  Ye, Dunyu;  Shan, Ruifeng;  Peng, Qin;  Zhao, Zhongqiang   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/09/26 Ecosystem services  Trade-off  Synergy  Bayesian belief network  Nansihu Lake Basin   Effect of physical geographic and socioeconomic processes on interactions among ecosystem services based on machine learning 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 359, 页码: 11 作者:  Sun, Xiaoyin;  Ye, Dunyu;  Shan, Ruifeng;  Peng, Qin;  Zhao, Zhongqiang   |  收藏  |  浏览/下载：13/0  |  提交时间：2022/09/26 Ecosystem services  Trade-off  Synergy  Bayesian belief network  Nansihu Lake Basin   Integrating a mixed-cell cellular automata model and Bayesian belief network for ecosystem services optimization to guide ecological restoration and conservation 期刊论文  OAI收割 LAND DEGRADATION & DEVELOPMENT, 2022, 页码: 17 作者:  Zhou, Shuang;  Peng, Li   |  收藏  |  浏览/下载：51/0  |  提交时间：2022/05/16 Bayesian belief network  ecological restoration and conservation  land use pattern  scenario simulation  uncertainty   An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文  OAI收割 APPLIED ENERGY, 2022, 卷号: 306, 页码: 16 作者:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang   |  收藏  |  浏览/下载：51/0  |  提交时间：2022/04/02 Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network