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中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
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Learning transferable cross-modality representations for few-shot hyperspectral and LiDAR collaborative classification
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 126, 页码: 11
Authors:
Dai, Mofan
;
Xing, Shuai
;
Xu, Qing
;
Wang, Hanyun
;
Li, Pengcheng
;
Sun, Yifan
;
Pan, Jiechen
;
Li YQ(李玉琼)
Favorite
  |  
View/Download:21/0
  |  
Submit date:2024/02/26
Multimodal remote sensing data
Meta-learning
Few-shot learning
Cross-modality feature learning
Stochastic dynamics of aircraft ground taxiing via improved physics-informed neural networks
期刊论文
NONLINEAR DYNAMICS, 2024, 页码: 16
Authors:
Zhang, Ying
;
Jin, Zhengrong
;
Wang L(王笼)
;
Zheng, Kaixin
;
Jia, Wantao
Favorite
  |  
View/Download:18/0
  |  
Submit date:2024/02/19
PINNs
Aircraft ground taxiing model
Fokker-Planck equations
Inverse problem
Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
Authors:
Zhang, Lei
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
;
Saha, Sourav
;
Guo, Jiachen
;
Li, Yangfan
;
Abbott, Trevor
;
Wagner, Gregory J.
;
Tang, Shaoqiang
;
Liu, Wing Kam
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  |  
View/Download:48/0
  |  
Submit date:2024/01/08
Convolution isogeometric analysis (C-IGA)
Convolution hierarchical deep-learning neural network (C-hiDeNN)
Software 2.0
r-h-p-s-a adaptive finite element method (FEM)
High-order smoothness and convergence
Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime (vol 172, 107645, 2023)
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 176, 页码: 1
Authors:
Jia, Yinfeng
;
Fu, Rui
;
Ling, Chao
;
Shen, Zheng
;
Zheng, Liang
;
Zhong, Zheng
;
Hong YS(洪友士)
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View/Download:76/0
  |  
Submit date:2023/12/11
DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 491, 页码: 112344
Authors:
Lv JQ(吕家琦)
;
Hong QZ(洪启臻)
;
Wang XY(王小永)
;
Mao, Zhiping
;
Sun QH(孙泉华)
Favorite
  |  
View/Download:61/0
  |  
Submit date:2023/09/26
Hypersonic
Thermochemical nonequilibrium
State-to-state approach
Deep learning
Multiphysics
Data assimilation
Predicting continuum breakdown with deep neural networks
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278
Authors:
Xiao TB(肖天白)
;
Schotthoefer, Steffen
;
Frank, Martin
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  |  
View/Download:28/0
  |  
Submit date:2023/09/05
Computational fluid dynamics
Kinetic theory
Boltzmann equation
Multi-scale method
Deep learning
Distinguishing and Matching-Aware Unsupervised Point Cloud Completion
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 5160-5173
Authors:
Xiao, Haihong
;
Li YQ(李玉琼)
;
Kang, Wenxiong
;
Wu, Qiuxia
Favorite
  |  
View/Download:47/0
  |  
Submit date:2023/10/23
Deep learning
point cloud completion
3D vision
Force measurement using strain-gauge balance in shock tunnel based on deep learning
期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53
Authors:
Nie SJ(聂少军)
;
Wang YP(汪运鹏)
;
Jiang ZL(姜宗林)
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  |  
View/Download:13/0
  |  
Submit date:2024/02/26
Convolutional neural net-works
Deep learning
Frequency domain analysis
Force measurement
Time domain analysis
Recurrent neural networks
Unsupervised Noise Reductions for Gravitational Reference Sensors or Accelerometers Based on the Noise2Noise Method
期刊论文
SENSORS, 2023, 卷号: 23, 期号: 13, 页码: 6030
Authors:
Yang ZL(杨智岚)
;
Zhang HY(张昊越)
;
Xu P(徐鹏)
;
Luo ZR(罗子人)
Favorite
  |  
View/Download:22/0
  |  
Submit date:2023/09/05
Noise2Noise
deep learning
denoising
accelerometer
inertial sensor
Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 172, 页码: 107645
Authors:
Jia, Yinfeng
;
Fu, Rui
;
Ling, Chao
;
Shen, Zheng
;
Zheng, Liang
;
Zhong, Zheng
;
Hong YS(洪友士)
Favorite
  |  
View/Download:48/0
  |  
Submit date:2023/06/15
Fatigue life prediction
Deep learning method
Laser powder bed fusion
Ti-6Al-4V
Very -high -cycle fatigue