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Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1227-1238
作者:
Qinchen Yang
;
Fukai Zhang
;
Cong Wang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/04/10
Adaptive neural control (ANC)
deterministic learning (DL)
neural network (NN)
robot manipulators
Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657
作者:
Zhou, Yuan
;
Ren, Tian
;
Chen, Keran
;
Gao, Le
;
Li, Xiaofeng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/06/04
Forecasting
Predictive models
Atmospheric waves
Spatiotemporal phenomena
Sea surface
Ocean waves
Data models
Sea-surface height anomaly (SSHA)
deep learning (DL)
spatiotemporal prediction
Rossby waves
Reconstructing 3-D Thermohaline Structures for Mesoscale Eddies Using Satellite Observations and Deep Learning
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 16
作者:
Liu, Yingjie
;
Wang, Haoyu
;
Jiang, Fei
;
Zhou, Yuan
;
Li, Xiaofeng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/06/04
Deep learning (DL)
mesoscale eddies
prior knowledge-embedded
reconstruction of 3-D thermohaline structure
Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264
作者:
Yan, Shaohua
;
Xu, De
;
Tao, Xian
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  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Assembly model
demonstration learning (DL)
force-based control algorithm
hierarchical reinforcement learning (HRL)
peg-in-hole assembly
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:
Rui Jiang
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  |  
浏览/下载:10/0
  |  
提交时间:2023/05/29
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding
EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 207-219
作者:
Yuxian Gu
;
Jiaxin Wen
;
Hao Sun
;
Yi Song
;
Pei Ke
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  |  
浏览/下载:0/0
  |  
提交时间:2024/04/23
Natural language processing
deep learning (DL)
large-scale pre-training
dialogue systems
Chinese open-domain conversational model
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:
Rui Jiang
;
Ruixiang Zhu
;
Hu Su
;
Yinlin Li
;
Yuan Xie
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  |  
浏览/下载:1/0
  |  
提交时间:2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding
Circle-Net: An Unsupervised Lightweight-Attention Cyclic Network for Hyperspectral and Multispectral Image Fusion
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 4499-4515
作者:
Liu, Shuaiqi
;
Miao, Siyu
;
Liu, Siyuan
;
Li, Bing
;
Hu, Weiming
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  |  
浏览/下载:8/0
  |  
提交时间:2023/11/17
Attention mechanism
deep learning (DL)
hyperspectral images (HSIs)
image fusion
multispectral images (MSIs)
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 452-472
作者:
Wu, Jia-Geng
;
Yan, Yang
;
Zhang, Dong-Xu
;
Liu, Bo-Wen
;
Zheng, Qing-Bing
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  |  
浏览/下载:44/0
  |  
提交时间:2022/03/17
Machine learning
Periodic structures
Task analysis
Proteins
Photomicrography
Coronaviruses
Machine learning algorithms
Clustering
deep learning (DL)
image processing
machine learning
neural network (NN)
single-particle cryo-electron microscopy (cryo-EM)
A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:
Ren, Yibin
;
Li, Xiaofeng
;
Xu, Huan
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  |  
浏览/下载:42/0
  |  
提交时间:2022/02/18
Marine vehicles
Radar polarimetry
Feature extraction
Synthetic aperture radar
Data mining
Radar imaging
Oceans
Custom loss function
deep learning (DL)
deep neural network (DNN) regression
ship size extraction
synthetic aperture radar (SAR) image
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