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浏览/检索结果: 共2287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 Cadmium accumulation in tropical island paddy soils: From environment and health risk assessment to model prediction 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 465, 页码: 14 作者:  Guo, Yan;  Yang, Yi;  Li, Ruxia;  Liao, Xiaoyong;  Li, Yonghua   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/25 Cadmium  Pollution assessment  Probabilistic health risk  XGBoost   Fine simulation of PM2.5 combined with NPP-VIIRS night light remote sensing and mobile monitoring data 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 914, 页码: 13 作者:  Li, Daichao;  Xu, Fangnian;  Chen, Zuoqi;  Xie, Xiaowei;  Fan, Kunkun   |  收藏  |  浏览/下载：25/0  |  提交时间：2024/03/25 PM2.5 simulation  NPP-VIIRS  Mobile monitoring  Urban functional areas  GWR-GBDT  Spatiotemporal analysis   How does industrial transition drive low-carbon transition? Evidence from China's resource-based cities 期刊论文  OAI收割 ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 卷号: N/A 作者:  Lu, Shuo;  Liu, Qianqian;  Xia, Siyou;  Zhang, Wenzhong   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/04/08 Low-carbon transition  Industrial diversification  Direct effects  Mediating effect  RBCs   How does industrial transition drive low-carbon transition? Evidence from China's resource-based cities 期刊论文  OAI收割 ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 页码: 22 作者:  Lu, Shuo;  Liu, Qianqian;  Xia, Siyou;  Zhang, Wenzhong   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/04/01 Low-carbon transition  Industrial diversification  Direct effects  Mediating effect  RBCs   Spatial distribution and source identification of potentially toxic elements in Yellow River Delta soils, China: An interpretable machine-learning approach 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 912, 页码: 169092 作者:  Zhou, Mengge;  Li, Yonghua   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/01/26 Random forest  Source apportionment  Shapley additive explanations  t -Distributed random neighbor embedding  Heavy metals   Utilizing machine learning algorithm for finely three-dimensional delineation of soil-groundwater contamination in a typical industrial park, North China: Importance of multisource auxiliary data 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 911, 页码: 168598 作者:  Liu, Siyan;  Yang, Xiao;  Shi, Biling;  Liu, Zhaoshu;  Yan, Xiulan   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/01/04 Industrial site contamination  Three-dimensional spatial analysis  Hydrogeological features  Integrated modeling  Back propagation neural network algorithm   Design of Optical System for Ultra-Large Range Line-Sweep Spectral Confocal Displacement Sensor 期刊论文  OAI收割 SENSORS, 2024, 卷号: 24, 期号: 3 作者:  Yang, Weiguang;  Du, Jian;  Qi, Meijie;  Yan, Jiayue;  Cheng, Mohan   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/03/15 spectral confocal  precision measurement  dispersive objective  optical design  imaging spectrometer   Typological differentiation and time-series effects of urban renewal on housing prices 期刊论文  OAI收割 CITIES, 2024, 卷号: 145, 页码: 104668 作者:  Wu, Si -Min;  Deng, Yu   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/01/26 Urban renewal types  Housing prices  Stages  Scale  Shenzhen   Assessing spatial variations in soil organic carbon and C:N ratio in Northeast China's black soil region: Insights from Landsat-9 satellite and crop growth information 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2024, 卷号: 235, 页码: 14 作者:  Geng, Jing;  Tan, Qiuyuan;  Lv, Junwei;  Fang, Huajun   |  收藏  |  浏览/下载：41/0  |  提交时间：2023/11/13 Black soils  Landsat-9  Crop growth  Multi -temporal imagery   Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36 作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/01/02 Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)