机构

• 水生生物研究所 [5]
• 金属研究所 [3]
• 地质与地球物理研究所 [3]
• 地理科学与资源研究所 [2]
• 广州地球化学研究所 [2]
• 化学研究所 [2]
• 更多

采集方式

• OAI收割 [31]
• iSwitch采集 [1]

内容类型

• 期刊论文 [32]

发表日期

• 2023 [3]
• 2021 [3]
• 2020 [1]
• 2019 [2]
• 2018 [5]
• 2017 [1]
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学科主题

• Environmen... [2]
• Chemistry [1]
• Chemistry;... [1]
• Marine & F... [1]
• Materials ... [1]
• Nanoscienc... [1]
• 更多

筛选

浏览/检索结果: 共32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发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Selection and thermal physical characteristics analysis of in-situ condition preserved coring lunar rock simulant in extreme environment 期刊论文  OAI收割 International Journal of Mining Science and Technology, 2023, 卷号: 33, 期号: 11, 页码: 1411-1424 作者:  Haichun Hao;  Mingzhong Gao;  Cunbao Li;  Xuan Wang;  Yan Wu   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/03/14 UltraStar: A Lightweight Simulator of Ultra-Dense LEO Satellite Constellation Networking for 6G 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 632-645 作者:  Xiaoyu Liu;  Ting Ma;  Zhixuan Tang;  Xiaohan Qin;  Haibo Zhou   |  收藏  |  浏览/下载：40/0  |  提交时间：2023/03/02 Discrete event simulation (DES)  mega-constellation  network dynamics  performance evaluation  simulation architecture design   Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 1, 页码: 673-683 作者:  Teng, Siyu;  Chen, Long;  Ai, Yunfeng;  Zhou, Yuanye;  Xuanyuan, Zhe   |  收藏  |  浏览/下载：33/0  |  提交时间：2023/11/16 Semantics  Data models  Autonomous vehicles  Cameras  Reinforcement learning  Predictive models  Robustness  Autonomous driving  imitation learning  motion planning  end-to-End driving  interpretability   Crustal composition of the eastern South China Block based on the seismological study 期刊论文  OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 卷号: 64, 期号: 9, 页码: 3125-3138 作者:  Tan YuJuan;  Duan YongHong;  Lin JiYan;  Li Wei;  Wang GaoChun   |  收藏  |  浏览/下载：75/0  |  提交时间：2021/11/01 Eastern South China Block  Crustal composition  wt% SiO2  Joint inversion   Remote sensing inversion of grassland aboveground biomass based on high accuracy surface modeling 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 121, 页码: 10 作者:  Zhou, Wei;  Li, Haoran   |  收藏  |  浏览/下载：44/0  |  提交时间：2021/03/15 Aboveground biomass  High accuracy surface modelling  Random forest  Driving mechanism  Three-rivers source region   Remote sensing inversion of grassland aboveground biomass based on high accuracy surface modeling 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 121, 页码: 10 作者:  Zhou, Wei;  Li, Haoran;  Xie, Lijuan;  Nie, Xuemin;  Wang, Zong   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/03/15 Aboveground biomass  High accuracy surface modelling  Random forest  Driving mechanism  Three-rivers source region   A novel halloysite-CeOx nanohybrid for efficient arsenic removal 期刊论文  OAI收割 APPLIED CLAY SCIENCE, 2020, 卷号: 186, 页码: 10 作者:  Song, Yaran;  Yuan, Peng;  Du, Peixin;  Deng, Liangliang;  Wei, Yanfu   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/11/19 A study of the ionospheric disturbances associated with strong earthquakes using the empirical orthogonal function analysis 期刊论文  OAI收割 JOURNAL OF ASIAN EARTH SCIENCES, 2019, 卷号: 171, 页码: 225-232 作者:  Liu, Jing;  Wan, Weixing;  Zhou, Chen;  Zhang, Xuemin;  Liu, Yi   |  收藏  |  浏览/下载：71/0  |  提交时间：2019/04/18 GPS TEC  EOF method  Seismo-ionospheric disturbance   Microstructure and properties of Al-60wt.%Si composites prepared by powder semi-solid squeeze 期刊论文  OAI收割 POWDER TECHNOLOGY, 2019, 卷号: 343, 期号: 无, 页码: 95-100 作者:  Liu, Junwu;  Jiang, Daochuan;  Zhou, Xingxing;  Wang, Yonghong   |  收藏  |  浏览/下载：82/0  |  提交时间：2020/05/21 Powder semi-solid squeeze  Particle size  Al-Si composites  Passivation  Flexural strength  Thermal conductivity   Predicting TEC in China based on the neural networks optimized by genetic algorithm 期刊论文  OAI收割 ADVANCES IN SPACE RESEARCH, 2018, 卷号: 62, 期号: 4, 页码: 745-759 作者:  Song, Rui;  Zhang, Xuemin;  Zhou, Chen;  Liu, Jing;  He, Jianhui   |  收藏  |  浏览/下载：53/0  |  提交时间：2018/09/26 Ionosphere  TEC  Neural networks  Prediction  Modeling