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Machine-Learning-Based Prediction Modeling for Debris Flow Occurrence: A Meta-Analysis
期刊论文
WATER, 2024, 卷号: 16, 期号: 7, 页码: 22
作者:
Yang, Lianbing
;
Ge, Yonggang
;
Chen, Baili
;
Wu, Yuhong
;
Fu, Runde
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/15
machine learning
debris flow
occurrence
prediction
meta-analysis
An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 909, 页码: 11
作者:
Hong, Pingping
;
Xiao, Jingen
;
Liu, Hongtao
;
Niu, Zhiguang
;
Ma, Yini
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/01/26
Microplastics
Remote sensing
Inversion model
Abundance
Bohai Sea
A feasibility study on applying meta-heuristic optimization and Gaussian process regression for predicting the performance of pantograph-catenary system
期刊论文
ACTA MECHANICA SINICA, 2024, 卷号: 40, 期号: 1, 页码: 12
作者:
Zhang MH(张莫晗)
;
Yin B(银波)
;
Sun ZX(孙振旭)
;
Bai, Ye
;
Yang GW(杨国伟)
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/26
Pantograph-catenary system
Gaussian process regression
Surrogate model
Physical-based model
An Annual Temperature Cycle Feature Constrained Method for Generating MODIS Daytime All-Weather Land Surface Temperature
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14
作者:
Yang, Yujia
;
Zhao, Wei
;
Yang, Yanqing
;
Xu, Mengjiao
;
Mukhtar, Hamza
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  |  
浏览/下载:0/0
  |  
提交时间:2024/05/28
Land surface temperature
Climate change
Random forests
Surface treatment
Image resolution
Spectroradiometers
MODIS
Global warming
Meteorology
Surface reconstruction
Spatial resolution
Remote sensing
Clouds
Annual surface temperature cycle
land surface temperature (LST)
Moderate Resolution Imaging Spectroradiometer (MODIS)
random forest regression (RFR)
reconstruction
Enhancing Dimensional Emotion Recognition from Speech through Modulation-Filtered Cochleagram and Parallel Attention Recurrent Network
期刊论文
ELECTRONICS, 2023, 卷号: 12, 期号: 22, 页码: 15
作者:
Peng, Zhichao
;
Zeng, Hua
;
Li, Yongwei
;
Du, Yegang
;
Dang, Jianwu
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  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
modulation-filtered cochleagram
parallel attention recurrent neural network
dimensional emotion recognition
auditory signal processing
noise-robust
PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12287-12303
作者:
Zhang, Hongwen
;
Tian, Yating
;
Zhang, Yuxiang
;
Li, Mengcheng
;
An, Liang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/16
Expressive human mesh recovery
full-body motion capture
mesh alignment feedback
monocular 3D reconstruction
LARNeXt: End-to-End Lie Algebra Residual Network for Face Recognition
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11961-11976
作者:
Yang, Xiaolong
;
Jia, Xiaohong
;
Gong, Dihong
;
Yan, Dong-Ming
;
Li, Zhifeng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/16
Face recognition
lie algebra
pose estimation
profile face
Locating Dipole Source Using Self-Propelled Robotic Fish With Artificial Lateral Line System
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:
Qiu, Changlin
;
Wu, Zhengxing
;
Wang, Jian
;
Tan, Min
;
Yu, Junzhi
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/16
Underwater robot
robotic fish
artificial lateral line
noise estimation
dipole source localization
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning
期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:
Ma CC(马成丞)
;
Dong WM(董未名)
;
Xu CS(徐常胜)
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/01/29
Semi-supervised few-shot learning
few-shot learning
pseudo-labeling
linear regression
low-rank reconstruction
Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square
期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 292, 页码: 17
作者:
Shan, Peng
;
Bi, Yiming
;
Li, Zhigang
;
Wang, Qiaoyun
;
He, Zhonghai
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Model adaptation
Domain-invariant feature representation
Projected maximum mean discrepancy
Kernel partial least squares
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