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浏览/检索结果: 共510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提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Research on the spatial correlation network and its driving factors for synergistic development of pollution reduction, carbon reduction, greening, and growth in China's tourism industry 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 卷号: 377, 页码: 124579 作者:  Li, Ying;  Hao, Shizhuan;  Liu, Yaping;  Chen, Beilei;  Zou, Tongqian   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/04/21 Tourism industry  Social network analysis  Coupled coordination degree model  Modified gravity model   Physics-enhanced data-driven turbulence model for flow around submerged bodies 期刊论文  OAI收割 OCEAN ENGINEERING, 2025, 卷号: 315, 页码: 13 作者:  Zhang,Zhen;  Li,Haohan;  Ye SR(叶舒然);  Wang JZ(王静竹);  Wang YW(王一伟)   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/01/06 Data-driven  Physical enhancement  Turbulence model  Combined neural network   Exploring symbiotic pathways: Unveiling the evolution and key drivers of China's human-environment relationship 期刊论文  OAI收割 HABITAT INTERNATIONAL, 2024, 卷号: 154, 页码: 103195 作者:  Yang, Mingying;  Chen, Yufu;  Yang, Yuanyuan;  Bao, Wenkai   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/12/20 Human-environment relationship  Four-quadrant model  Trend analysis  Bayesian network model  Sustainable development  China   A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 514, 页码: 20 作者:  Zhou ZD(周志登);  Li SL(李世隆);  He GW(何国威);  Yang XL(杨晓雷)   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/12/23 Distributed force model  Equivalent sandgrain roughness height  Deep neural network  Rough-wall turbulence  Large-eddy simulation   Rapid Detection of Soil Available Phosphorus using Capacitively Coupled Contactless Conductivity Detection 期刊论文  OAI收割 CURRENT ORGANIC SYNTHESIS, 2024 作者:  Gao, Jun;  Li, Wei;  Li, Jiaoe;  Wang, Rujing   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/11/20 Soil available phosphorus  on-site rapid pretreatment, detection, capacitively coupled contactless conductivity detection  capillary electrophoresis  back propagation neural network model   Bayesian multivariate receptor model and convolutional neural network to identify quantitative sources and spatial distributions of potentially toxic elements in soils: A case study in Qingzhou City, China 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 476, 页码: 13 作者:  Kong, Xiangyi;  Liu, Yang;  Duan, Zongqi;  Lv, Jianshu   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/10/08 Source apportionment  Spatial distribution  Potentially toxic elements  Bayesian receptor model  Convolutional neural network   Evaluation of precipitation forecasting methods and an advanced lightweight model 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 9, 页码: 12 作者:  Yang, Nan;  Wang, Chong;  Li, Xiaofeng   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/08/30 precipitation forecasting  model analysis  deep learning  adversarial generative network   The non-negligible contribution of foundation species to artificial reef construction revealed by Ecopath models 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 366, 页码: 10 作者:  Wang, Xu;  Lin, Chenggang;  Wang, Weizhong;  Zhang, Libin   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/08/30 Foundation species  Artificial reefs  Ecopath model  Ecological network analysis  Dimensionless indices   A hybrid pore-network-continuum modeling framework for flow and transport in 3D digital images of porous media 期刊论文  OAI收割 ADVANCES IN WATER RESOURCES, 2024, 卷号: 190, 页码: 14 作者:  Zhang, Li;  Guo, Bo;  Qin, Chaozhong;  Xiong, Yongqiang   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/09/13 Pore network model  Multiscale pore structure  3D digital images  Hybrid modeling  Continuum   An adaptive joint optimization framework for pruning and quantization 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 17 作者:  Li, Xiaohai;  Yang, Xiaodong;  Zhang, Yingwei;  Yang, Jianrong   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/12/06 Model compression  Network pruning  Quantization  Mutual learning  Multi-teacher knowledge distillation