机构

• 自动化研究所 [8]
• 地理科学与资源研究所 [6]
• 数学与系统科学研究院 [4]
• 地质与地球物理研究所 [3]
• 沈阳自动化研究所 [3]
• 长春光学精密机械与物... [2]
• 更多

采集方式

• OAI收割 [37]

内容类型

• 期刊论文 [36]
• 会议论文 [1]

发表日期

• 2021 [37]

学科主题

筛选

浏览/检索结果: 共37条，第1-10条 帮助 限定条件 发表日期：2021     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau 期刊论文  OAI收割 CATENA, 2021, 卷号: 207, 页码: 12 作者:  Zhang, Xuanchang;  Li, Yurui;  Liu, Yansui;  Huang, Yunxin;  Wang, Yongsheng   |  收藏  |  浏览/下载：47/0  |  提交时间：2021/11/05 Artificial slope instability  Gully Land Consolidation project  Back Propagation Neural Network (BPNN)  Gutun watershed   Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners 期刊论文  OAI收割 ENERGIES, 2021, 卷号: 14, 期号: 23, 页码: 19 作者:  Zeng, Isabella Yunfei;  Tan, Shiqi;  Xiong, Jianliang;  Ding, Xuesong;  Li, Yawen   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/04/02 real-world fuel consumption rate  machine learning  big data  light-duty vehicle  China   Stein variational gradient descent with local approximations 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20 作者:  Yan, Liang;  Zhou, Tao   |  收藏  |  浏览/下载：11/0  |  提交时间：2022/04/02 Stein variational gradient decent  Bayesian inference  Deep learning  Local approximation   Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau 期刊论文  OAI收割 CATENA, 2021, 卷号: 207, 页码: 12 作者:  Zhang, Xuanchang;  Li, Yurui;  Liu, Yansui;  Huang, Yunxin;  Wang, Yongsheng   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/11/05 Artificial slope instability  Gully Land Consolidation project  Back Propagation Neural Network (BPNN)  Gutun watershed   Accelerating evaluation of the mobility of ionic liquid-modulated PEDOT flexible electronics using machine learning 期刊论文  OAI收割 JOURNAL OF MATERIALS CHEMISTRY A, 2021, 卷号: 9, 期号: 45, 页码: 25547-25557 作者:  Ding, Wei-Lu;  Lu, Yumiao;  Peng, Xing-Liang;  Dong, Hao;  Chi, Wei-Jie   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/06/15 Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 12 作者:  Jin, Long;  Qi, Yimeng;  Luo, Xin;  Li, Shuai   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/08/22 Robot kinematics  Robots  Topology  Multi-robot systems  Heuristic algorithms  Task analysis  Collaboration  Multi-robot coordination  winner-take-all  gradient neural network  distributed control   High-Resolution Boundary Refined Convolutional Neural Network for Automatic Agricultural Greenhouses Extraction from GaoFen-2 Satellite Imageries 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 21, 页码: 25 作者:  Zhang, Xiaoping;  Cheng, Bo;  Chen, Jinfen;  Liang, Chenbin   |  收藏  |  浏览/下载：12/0  |  提交时间：2021/12/28 Agricultural Greenhouses  DCNN  Semantic Segmentation  high resolution  context integration  boundary refined  GaoFen-2   Classification of Pneumonia Images Based on Improved VGG19 Convolutional Neural Network (Invited) 期刊论文  OAI收割 Guangzi Xuebao/Acta Photonica Sinica, 2021, 卷号: 50, 期号: 10 作者:  Xiong, Feng;  He, Di;  Liu, Yujie;  Qi, Meijie;  Gao, Peng   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/12/13 Pneumonia image classification  Convolution neural network  Deep learning  VGG19  Support vector machine  eXtreme Gradient Boosting   Application of machine learning in the determination of impact parameter in the Sn-132 + Sn-124 system 期刊论文  OAI收割 PHYSICAL REVIEW C, 2021, 卷号: 104, 期号: 3, 页码: 8 作者:  Li, Fupeng;  Wang, Yongjia;  Gao, Zepeng;  Li, Pengcheng;  Lu, Hongliang   |  收藏  |  浏览/下载：20/0  |  提交时间：2021/12/08 Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong   |  收藏  |  浏览/下载：59/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling