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科研机构
自动化研究所 [17]
力学研究所 [4]
数学与系统科学研究院 [3]
兰州理工大学 [2]
合肥物质科学研究院 [2]
内容类型
期刊论文 [28]
发表日期
2022 [28]
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A computational method for the load spectra of large-scale structures with a data-driven learning algorithm
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2022, 页码: 14
作者:
Chen, XianJia
;
Yuan, Zheng
;
Li, Qiang
;
Sun, ShouGuang
;
Wei, YuJie
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/02/09
load spectrum
computational mechanics
deep learning
data-driven modeling
gated recurrent unit neural network
DeSci Based on Web3 and DAO: A Comprehensive Overview and Reference Model
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 卷号: 9, 期号: 5, 页码: 1563-1573
作者:
Ding, Wenwen
;
Hou, Jiachen
;
Li, Juanjuan
;
Guo, Chao
;
Qin, Jirong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/11/14
Analytical models
Systematics
Protocols
Decentralized autonomous organization
Computational modeling
Education
Computer architecture
CPSS
DAO
decentralized autonomous operations
decentralized autonomous organizations
decentralized funding
decentralized science
DeSci
metaverses
parallel DeSci
parallel intelligence
Web3
Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Mao, Wenji
;
Zeng, Daniel Dajun
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/11/14
Perturbation methods
Semantics
Computational modeling
Codes
Task analysis
Privacy
Software
Adversarial perturbation
deep neural network (DNN)
privacy protection
semantic retrieval
Federated Vehicular Transformers and Their Federations: Privacy-Preserving Computing and Cooperation for Autonomous Driving
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 456-465
作者:
Tian, Yonglin
;
Wang, Jiangong
;
Wang, Yutong
;
Zhao, Chen
;
Yao, Fei
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/11/28
Transformers
Autonomous vehicles
Collaborative work
Point cloud compression
Trajectory
Computational modeling
Vehicle dynamics
Cooperative autonomous driving
Federated Vehicular Transformers
Federation of Vehicular Transformers
Vehicular Transformers
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:
Wang, Jiangong
;
Shen, Tianyu
;
Tian, Yonglin
;
Wang, Yutong
;
Gou, Chao
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/11/28
Object detection
Feature extraction
Data models
Training
Knowledge engineering
Detectors
Computational modeling
Computer vision
Unsupervised Domain Adaptation
Teacher-student learning
Traffic object detection
Robot Navigation Based on Situational Awareness
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 3, 页码: 869-881
作者:
Liu, Xilong
;
Cao, Zhiqiang
;
Yu, Yingying
;
Ren, Guangli
;
Yu, Junzhi
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/11/14
Navigation
Robots
Robot sensing systems
Fitting
Sensors
Computational modeling
Three-dimensional displays
Path perception
robot navigation
situational awareness fitting network
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Liu, Bin
;
Wang, Xiao
;
Mao, Wenji
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/11/14
Training
Task analysis
Semantics
Perturbation methods
Feature extraction
Computational modeling
Robustness
Adversarial perturbation
adversarially robust training
deep hashing
multimodal retrieval
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:
Ouyang, Liwei
;
Yuan, Yong
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/09/19
Collaboration
Artificial intelligence
Data models
Computational modeling
Smart contracts
Blockchain
Distributed databases
Artificial intelligence (AI) collaboration
blockchain
ensemble learning
federated learning (FL)
smart contracts
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Lin, Xixun
;
Li, Zhao
;
Zhang, Peng
;
Liu, Luchen
;
Zhou, Chuan
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/07
Task analysis
Kernel
Training
Decoding
Stochastic processes
Predictive models
Computational modeling
Few-shot learning
graph classification
graph neural networks (GNNs)
neural process (NP)
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022
作者:
Li, Bing
;
Chen, Jie
;
Huang, Zhixiang
;
Wang, Haitao
;
Lv, Jianming
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/12/23
Vehicles
Accidents
Feature extraction
Deep learning
Data models
Convolutional neural networks
Computational modeling
Unsupervised deep learning
driver distraction
fine-grained
comparative learning
stop-gradient
multilayer perceptron
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