兰州大学机构库

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Spatiotemporal Changes and Driver Analysis of Ecosystem Respiration in the Tibetan and Inner Mongolian Grasslands 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 15
Authors:  Liu, Weihua;  He, Honglin;  Wu, Xiaojing;  Ren, Xiaoli;  Zhang, Li;  Zhu, Xiaobo;  Feng, Lili;  Lv, Yan;  Chang, Qingqing;  Xu, Qian...Liu, Weihua;  He, Honglin;  Wu, Xiaojing;  Ren, Xiaoli;  Zhang, Li;  Zhu, Xiaobo;  Feng, Lili;  Lv, Yan;  Chang, Qingqing;  Xu, Qian;  Zhang, Mengyu;  Zhang, Yonghong;  Wang, Tianxiang
Adobe PDF(13173Kb)  |  Favorite  |    Submit date:2022/11/09
ecosystem respiration  spatiotemporal changes  deep learning model  environment control  alpine grasslands  temperate grasslands  Deep learning  Ecosystems  Learning systems  Organic carbon  Soils  Textures  Alpine grasslands  Deep learning model  Ecosystem respiration  Enhanced vegetation index  Environment control  Learning models  Northern China  Soil textures  Spatio-temporal changes  Temperate grasslands  
Remote sensing retrieval based on machine learning algorithmUncertainty analysis 期刊论文
遥感学报, 2023, 卷号: 27, 期号: 3, 页码: 724-737
Authors:  Wang, Jingping;  Wu, XD(吴小丹);  Ma, Dujuan;  Wen, Jianguang;  Xiao, Qing
Favorite  |    Submit date:2023/09/04
Complex networks  Deep learning  Economic and social effects  Forestry  Learning algorithms  Learning systems  Neural networks  Sampling  Soil moisture  Support vector machines  Uncertainty analysis  Deep learning  Literature analysis  Machine learning algorithms  Machine-learning  On-machines  Quantitative remote sensing  Remote-sensing  Retrieval  Training sample  Uncertainty  
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition 期刊论文
Information Sciences, 2021, 卷号: 569, 页码: 90-109
Authors:  Rao, Haocong;  Xu, Shihao;  Hu, XP(胡希平);  Cheng, Jun;  Hu, B(胡斌)
Adobe PDF(1305Kb)  |  Favorite  |    Submit date:2021/06/18
3D skeleton  Action learning  Action recognition  Action representations  Contrastive learning  Learn+  Momentum LSTM  Skeleton based action recognition  Skeleton data augmentation  Unsupervised deep learning  3D skeleton  Action learning  Action recognition  Action representations  Contrastive learning  Learn+  Momentum LSTM  Skeleton based action recognition  Skeleton data augmentation  Unsupervised deep learning  
Application advances of deep learning methods for de novo drug design and molecular dynamics simulation 期刊论文
Wiley Interdisciplinary Reviews-Computational Molecular Science, 2021, 卷号: 12, 期号: 3
Authors:  Bai, QF(白启峰);  Liu, Shuo;  Tian, Yanan;  Xu, Tingyang;  Banegas-Luna, Antonio Jesus;  Perez-Sanchez, Horacio;  Huang, Junzhou;  Liu, HX(刘焕香);  Yao, XJ(姚小军)
Favorite  |    Submit date:2021/12/15
de novo drug design  deep learning  explainable artificial intelligence  interpretable machine learning  MD simulation  Computational chemistry  Learning systems  Ligands  Deep learning  Design  De novo drug design  Drug Design  Drug discovery  Explainable artificial intelligence  Interaction mechanisms  Interpretable machine learning  Learning methods  Molecular force field  Novel ligands  
Identification Tool for Gastric Cancer Based on Integration of 33 Clinical Available Blood Indices Through Deep Learning 期刊论文
IEEE Access, 2022, 卷号: 10, 期号: 99, 页码: 106081-106092
Authors:  Zhang, Bowen;  Cheng, Long;  Niu, Yuzhen;  Wang, Aming;  Zhang, Pengyi;  Shen, Tiantian;  Xi, Lili;  Zhang, Dekui;  Li, Shuyan
Adobe PDF(3196Kb)  |  Favorite  |    Submit date:2023/01/03
Blood  Deep learning  Diseases  E-learning  Blood  Cancer  Clinical available blood index  Deep learning  Gastric cancers  Identification  License  Neural-networks  Online servers  Identification tools  Clinical diagnosis  Neural networks  Online services  Ethics  Gastrointestinal tract  Biopsy  Biological system modeling  Prognostics and health management  Clinical available blood indices  deep learning  gastric cancer  identification  online server  
Experimental Study of Cloud-to-Ground Lightning Nowcasting with Multisource Data Based on a Video Prediction Method 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 3
Authors:  Guo, Shuchang;  Wang, JY(王金艳);  Gan, RH(甘茹蕙);  Yang, Zhida;  Yang, Y(杨毅)
Favorite  |    Submit date:2022/07/01
Clouds  Deep learning  Lightning  Numerical models  Potential energy  Deep learning  Input variables  Lightning forecasts  Lightning nowcasting  Long and short term memory  Nowcasting  Permutation importance  Physical variables  Prediction methods  Video prediction  lightning nowcasting  video prediction  deep learning  permutation importance  Learning systems  Forecasting  
Dual-Stream Multiple Instance Learning for Depression Detection With Facial Expression Videos 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 卷号: 31, 页码: 554-563
Authors:  Shangguan, Zixuan;  Liu, Zhenyu;  Li, Gang;  Chen, Qiongqiong;  Ding, Zhijie;  Hu, Bin
Adobe PDF(1771Kb)  |  Favorite  |    Submit date:2023/04/12
Deep learning  Diseases  Face recognition  Job analysis  Supervised learning  Three dimensional displays  Deep learning  Depression  Depression detection  Facial Expressions  Features extraction  Multiple-instance learning  Task analysis  Three-dimensional display  Video  Weakly supervised learning  
Remote sensing image classification using an ensemble framework without multiple classifiers 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 卷号: 208, 页码: 190-209
Authors:  Dou, Peng;  Huang, Chunlin;  Han, Weixiao;  Hou, Jinliang;  Zhang, Ying;  Gu, J(顾娟)
Favorite  |    Submit date:2024/03/15
Classification (of information)  Deep learning  Efficiency  Image classification  Learning systems  Pixels  Classification framework  Classification results  Deep learning  Ensemble classification  Ensemble learning  Feature relationship  Learning models  Multiple-classifiers  Remote-sensing  Training sets  
Improving brain age prediction with anatomical feature attention-enhanced 3D-CNN 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169
Authors:  Zhang, Yu;  Xie, Rui;  Beheshti, Iman;  Liu, Xia;  Zheng, Guowei;  Wang, Yin;  Zhang, Zhenwen;  Zheng, WH(郑炜豪);  Yao, ZJ(姚志军);  Hu, B(胡斌)...Zhang, Yu;  Xie, Rui;  Beheshti, Iman;  Liu, Xia;  Zheng, Guowei;  Wang, Yin;  Zhang, Zhenwen;  Zheng, WH(郑炜豪);  Yao, ZJ(姚志军);  Hu, B(胡斌)
Favorite  |    Submit date:2024/03/15
Convolution  Deep learning  Diagnosis  Forecasting  Learning systems  Population statistics  3d-CNN  Age predictions  Anatomical features  Attention  Brain age  Deep learning  Learning techniques  Machine-learning  Resonance imaging data  Structural magnetic resonance imaging  
Dual-stream Multiple Instance Learning for Depression Detection with Facial Expression Videos 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: PP, 期号: 99, 页码: 1-1
Authors:  Shangguan, Zixuan;  Liu, Zhenyu;  Li, Gang;  Chen, Qiongqiong;  Ding, ZhiJie;  Hu, Bin
Favorite  |    Submit date:2022/11/08
Deep learning  Diseases  Face recognition  Job analysis  Supervised learning  Three dimensional displays  Deep learning  Depression  Depression detection  Facial Expressions  Features extraction  Multiple-instance learning  Task analysis  Three-dimensional display  Video  Weakly supervised learning