×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [121]
北京航空航天大学 [76]
山东大学 [49]
湖南大学 [42]
武汉大学 [40]
大连理工大学 [35]
更多...
内容类型
期刊论文 [507]
会议论文 [134]
学位论文 [13]
其他 [11]
会议 [7]
发表日期
2024 [1]
2023 [22]
2022 [39]
2021 [40]
2020 [47]
2019 [167]
更多...
学科主题
Imaging Sc... [2]
Remote Sen... [2]
模式识别与智能系统 [2]
Big Data -... [1]
Computer S... [1]
Engineerin... [1]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共672条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
发表日期升序
发表日期降序
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
Learning to Branch in Combinatorial Optimization With Graph Pointer Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169
作者:
Rui Wang
;
Zhiming Zhou
;
Kaiwen Li
;
Tao Zhang
;
Ling Wang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/01/02
Branch-and-bound (B&B)
combinatorial optimization
deep learning
graph neural network
imitation learning
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
作者:
Zhang, Lei
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
收藏
  |  
浏览/下载:1/0
  |  
提交时间: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
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis
期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:
Zhang, Chang
;
Meng, Xiangzhu
;
Liu, Qiang
;
Wu, Shu
;
Wang, Liang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/11/16
Functional magnetic resonance image
Brain network
Federated learning
Deep neural networks
Brain disease diagnosis
Chromosome classification via deep learning and its application to patients with structural abnormalities of chromosomes
期刊论文
MEDICAL ENGINEERING & PHYSICS, 2023, 卷号: 121, 页码: 11
作者:
Yang, Chuan
;
Li, Tingting
;
Dong, Qiulei
;
Zhao, Yanyan
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Karyotyping
Chromosome classification
Machine learning
Deep convolutional neural network
CASOG: Conservative Actor–Critic With SmOoth Gradient for Skill Learning in Robot-Assisted Intervention
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 页码: 10
作者:
Li, Hao
;
Zhou, Xiao-Hu
;
Xie, Xiao-Liang
;
Liu, Shi-Qi
;
Feng, Zhen-Qiu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Deep neural network
offline reinforcement learning
robot-assisted intervention
vascular robotic system
Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN
期刊论文
JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12
作者:
He, Deqiang
;
Zou, Xueyan
;
Jin, Zhenzhen
;
Yan, Jingren
;
Ren, Chonghui
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/12/07
intelligent fault diagnosis
train bearing
improved sooty tern optimization algorithm
variational mode decomposition
deep convolutional neural network
Boosting deep cross-modal retrieval hashing with adversarially robust training
期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 13
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Mao, Wenji
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Cross-modal retrieval
Adversarial training
Deep hashing model
Deep neural network
A multi-view co-training network for semi-supervised medical image-based prognostic prediction
期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:
Li, Hailin
;
Wang, Siwen
;
Liu, Bo
;
Fang, Mengjie
;
Cao, Runnan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Deep neural network
Medical image analysis
Prognostic prediction
Semi-supervised learning
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:
Guo, Yu
;
Liu, Ryan Wen
;
Qu, Jingxiang
;
Lu, Yuxu
;
Zhu, Fenghua
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Inland waterways
vessel traffic surveillance
deep neural network
anti-occlusion tracking
data fusion
Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:
Li, Kunqian
;
Wu, Li
;
Qi, Qi
;
Liu, Wenjie
;
Gao, Xiang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Training
Image enhancement
Visualization
Task analysis
Generators
Deep learning
Oceans
Underwater image enhancement
deep learning
convolutional neural network
comparative learning
blind image quality assessment
©版权所有 ©2017 CSpace - Powered by
CSpace