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CASIA OpenIR

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AI for Supporting the Freedom of Drawing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 63-88
作者:  Xiaohua Sun;  Juexiao Qin
Adobe PDF(14055Kb)  |  收藏  |  浏览/下载：11/6  |  提交时间：2024/04/23
Intention understanding, drawing support, drawing, art, human-artificial intelligence (AI) collaboration  
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:  Yu Xi;  Ke Zhou;  Ling-Wen Meng;  Bo Chen;  Hao-Min Chen;  Jing-Yi Zhang
Adobe PDF(18337Kb)  |  收藏  |  浏览/下载：14/4  |  提交时间：2024/04/23
Insulator defect, object detection, Swin transformer, data augmentation, context information  
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：28/4  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：19/2  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
A multi-factor spatio-temporal correlation analysis method for PV development potential estimation 期刊论文
RENEWABLE ENERGY, 2024, 卷号: 223, 页码: 14
作者:  Xiang, Yue;  Tang, Qingwei;  Xu, Weiting;  Hu, Shuai;  Zhao, Pengfei;  Guo, Jingrong;  Liu, Junyong
收藏  |  浏览/下载：15/0  |  提交时间：2024/03/27
PV power generation  Correlation analysis  Probability distribution  XGBoost  Development potential  
Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 329-343
作者:  Yijing Xie;  Yichen Zhang;  Wei-Jen Lee;  Zongli Lin;  Yacov A. Shamash
Adobe PDF(798Kb)  |  收藏  |  浏览/下载：68/28  |  提交时间：2024/01/23
Climate change  renewable energy resources  resilience  smart grids  virtual power plants (VPPs)  
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
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
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载：257/184  |  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)  
Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping 期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 115367-115379
作者:  Wu, Jiapei;  Zhou, Yuke;  Wang, Han;  Wang, Xiaoying;  Wang, Jiaojiao
收藏  |  浏览/下载：91/0  |  提交时间：2023/12/21
Vegetation mapping  Climate change  Atmospheric measurements  Dynamic programming  Temperature sensors  Meteorological factors  Forestry  Terrestrial atmosphere  Remote sensing  Nonlinear systems  Vegetation dynamic  climate change  causal links  convergent cross mapping  empirical dynamic model  
Assessment of Spatiotemporal Patterns and the Effect of the Relationship between Meteorological Drought and Vegetation Dynamics in the Yangtze River Basin Based on Remotely Sensed Data 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 14, 页码: 17
作者:  Dong, Xiujuan;  Zhou, Yuke;  Liang, Juanzhu;  Zou, Dan;  Wu, Jiapei;  Wang, Jiaojiao
收藏  |  浏览/下载：90/0  |  提交时间：2023/11/17
climate change  meteorological drought  vegetation dynamics  SIF  NDVI  Yangtze River Basin  
Machine learning versus crop growth models: an ally, not a rival 期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:  Zhang, Ningyi;  Zhou, Xiaohan;  Kang, Mengzhen;  Hu, Bao-Gang;  Heuvelink, Ep;  Marcelis, Leo F. M.
收藏  |  浏览/下载：44/0  |  提交时间：2023/11/17
Knowledge  and data-driven modelling  Machine learning  Process-based models  yield prediction