机构

• 自动化研究所 [202]
• 心理研究所 [120]
• 地理科学与资源研... [111]
• 计算技术研究所 [79]
• 西安光学精密机械研... [34]
• 沈阳自动化研究所 [28]
• 更多

采集方式

• OAI收割 [805]
• iSwitch采集 [9]

内容类型

• 期刊论文 [632]
• 学位论文 [99]
• 会议论文 [81]
• EI期刊论文 [1]
• SCI/SSCI论文 [1]

发表日期

• 2024 [14]
• 2023 [95]
• 2022 [118]
• 2021 [102]
• 2020 [108]
• 2019 [72]
• 更多

学科主题

• Engineerin... [9]
• Biochemist... [8]
• Chemistry [4]
• Physics [4]
• 天文学 [4]
• Ecology [3]
• 更多

筛选

浏览/检索结果: 共814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 Spatio-temporal fusion graph convolutional network for traffic flow forecasting 期刊论文  OAI收割 INFORMATION FUSION, 2024, 卷号: 104, 页码: 11 作者:  Ma, Ying;  Lou, Haijie;  Yan, Ming;  Sun, Fanghui;  Li, Guoqi   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/02/22 Graph convolutional network  Spatio-temporal data  Traffic forecasting   Evaluation of machine learning method in genomic selection for growth traits of Pacific white shrimp 期刊论文  OAI收割 AQUACULTURE, 2024, 卷号: 581, 页码: 9 作者:  Luo, Zheng;  Yu, Yang;  Bao, Zhenning;  Li, Fuhua   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/07 Growth traits  Genomic selection  Auto-machine learning  Prediction accuracy  Litopeneaus vannamei   A review of global products of air-sea turbulent heat flux: accuracy, mean, variability, and trend 期刊论文  OAI收割 EARTH-SCIENCE REVIEWS, 2024, 卷号: 249, 页码: 31 作者:  Tang, Ronglin;  Wang, Yizhe;  Jiang, Yazhen;  Liu, Meng;  Peng, Zhong   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/04/01 Latent heat flux  Sensible heat flux  Air-sea turbulent heat flux  Variability  Trend   NDVI joint process-based models drive a learning ensemble model for accurately estimating cropland net primary productivity (NPP) 期刊论文  OAI收割 FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 卷号: 11, 页码: 15 作者:  Wang, Zhaosheng;  Liu, Zhengjia;  Huang, Mei   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/01 cropland NPP (net primary productivity)  learning ensemble model  NDVI  process-based model  China   Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2024, 页码: 13 作者:  Qi, Jifeng;  Sun, Guimin;  Xie, Bowen;  Li, Delei;  Yin, Baoshu   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/07 machine learning  convolutional neural network (CNN)  ocean subsurface salinity structure (OSSS)  Indian Ocean  satellite observations   Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology 期刊论文  OAI收割 SENSORS, 2024, 卷号: 24, 期号: 2 作者:  Du, Jian;  Tao, Chenglong;  Qi, Meijie   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/04 micro-hyperspectral technology  bacterial infection  positive-negative determination  spectral feature  directly smeared urine sample  deep learning   A Novel Computational Imaging Algorithm for Electrical Capacitance Tomography 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 2 作者:  Zhao, Qing;  Liu, Shi;  Chen, Weining   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/04 electrical capacitance tomography  reconstruction algorithm  inverse problem  regularized extreme learning machine   Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal Patterns 期刊论文  OAI收割 arXiv, 2024 作者:  Ji, Wenqi;  Liu, Fang;  Du, Xinxin;  Liu, Niqi;  Zhou, Chao   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/01/29 Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data 期刊论文  OAI收割 ATMOSPHERE, 2024, 卷号: 15, 期号: 1, 页码: 20 作者:  Xie, Bowen;  Qi, Jifeng;  Yang, Shuguo;  Sun, Guimin;  Feng, Zhongkun   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/04/07 sea surface temperature  deep learning  3D U-Net model  marine heat waves  South China Sea  multi-source data   A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981 作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/03/18 Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning