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浏览/检索结果: 共437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 Mechanistic Insights into the Differential Toxicity and Antagonistic Interactions of the Rare Earth Elements Cerium and Yttrium Toward Rice Roots 期刊论文  OAI收割 BIOLOGICAL TRACE ELEMENT RESEARCH, 2026, 卷号: N/A 作者:  Meng, Yingyi;  Li, Wanshu;  Ming, Di;  Bai, Xiaoyan;  Wang, Lingqing   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/04/16 Rare earth elements  Rice  Mixture toxicity  Antagonistic effects  Model prediction   Interval Prediction of Total Nitrogen Using a Hybrid BiLSTM-Res Model and Bayesian Optimization: A Case Study in the Pearl River Delta 期刊论文  OAI收割 WATER, 2026, 卷号: 18, 期号: 5, 页码: 578 作者:  Zhang, Hanzhi;  Niu, Guoqiang;  Li, Xiaoyong;  Lin, Mi;  Fan, Kai   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 total nitrogen  interval prediction  deep learning  BILSTM model   The stacking method enhances machine learning models for monitoring and understanding regional soil available nitrogen variations in croplands 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2026, 卷号: 256, 页码: 106880 作者:  Lei, Sihong;  Shao, Mingan;  Jia, Xiaoxu;  Zhu, Zhaocen;  Zhao, Chunlei   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/10/20 Agricultural ecosystem  Machine learning  Model ensemble  Quantitative prediction   Predicting inter-state cyberattacks with graph-text fusion using graph neural networks and large language models 期刊论文  OAI收割 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2026, 卷号: 165, 页码: 113465 作者:  Dong, Jiping();  Hao, Mengmeng();  Ding, Fangyu();  Chen, Shuai();  Wu, Jiajie   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Cyberattack prediction  Graph neural network  Large language model  Multimodal fusion  Bilateral relations   Flood predictions from metrics to classes by multiple machine learning algorithms coupling with clustering-deduced membership degree 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2026, 卷号: 36, 期号: 1, 页码: 149-176 作者:  Zhai, Xiaoyan;  Zhang, Yongyong;  Xia, Jun;  Zhang, Yongqiang;  Tang, Qiuhong   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 flood regime metrics  class prediction  machine learning algorithms  hydrological model   Simulating and predicting lake dynamics by fusing HBV modeling, machine learning approach and remote sensing data 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 663, 页码: 134303 作者:  Naeem, Muhammad;  Zhang, Yongqiang;  Ma, Ning;  Tang, Zixuan;  Miao, Ping   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/17 Hydrological dynamics  HBV model  Machine learning  Random Forest  CA-Markov model  Climate change  Lake area prediction  Water resource management   Probability-creep strain-time curve and size effect of creep strain measurement 期刊论文  OAI收割 MATERIALS RESEARCH EXPRESS, 2025, 卷号: 12, 期号: 9, 页码: 11 作者:  Guo YY(郭艺云);  Wu H(仵涵);  Li JH(李江华);  Sun CQ(孙成奇)   |  收藏  |  浏览/下载：12/0  |  提交时间：2025/09/29 Ti-6Al-4V titanium alloy  compressive creep  probability-creep strain-time curve  size effect  prediction model   Construction prediction of horizontal energy storage salt caverns using a novel concentration-field model 期刊论文  OAI收割 RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2025, 卷号: 216, 页码: 14 作者:  Zhu, Song;  Ling, Daosheng;  Liu, Jia;  Wang, Zhuoteng;  Gao, Wu   |  收藏  |  浏览/下载：34/0  |  提交时间：2025/06/27 Energy storage  Horizontal salt caverns  Construction prediction  Concentration field model  Bedded salt   A Study of the Correlation Between English Academic Exchanges and Academic Influence 期刊论文  OAI收割 SAGE OPEN, 2025, 卷号: 15, 期号: 3, 页码: 21 作者:  Zhou, Hong;  Xu JY(许晶禹)   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/09/15 non-native English speakers  academic impact  English-language academic exchanges  database analysis  evaluation model  academic impact prediction   A deep learning-based hybrid model for improved SST prediction in the tropical Pacific Ocean 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2025, 页码: 17 作者:  Ma, Yuanzhe;  Xie, Bowen;  Feng, Zhongkun;  Sun, Guimin;  Zhang, Cong   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/08/21 sea surface temperature (SST)  deep learning  hybrid model  prediction  tropical Pacific Ocean