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Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 3044-3057
作者:
Wan, Lin
;
Jing, Qianyan
;
Sun, Zongyuan
;
Zhang, Chuang
;
Li, Zhihang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Task analysis
Training
Feature extraction
Lighting
Cameras
Visualization
Self-supervised learning
Cross-modality person re-identification
self-supervised learning
multi-modality pre-training
Set Generation Networks for End-to-End Knowledge Base Population
会议论文
Online and Punta Cana, Dominican Republic, 2021-11
作者:
Sui DB(隋典伯)
;
Chenhao Wang
;
Yubo Chen
;
Kang Liu
;
Jun Zhao
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/06/28
Fault Identification of Rolling Bearing Using Variational Mode Decomposition Multiscale Permutation Entropy and Adaptive GG Clustering
期刊论文
SHOCK AND VIBRATION, 2021, 卷号: 2021
作者:
He, Tianjing
;
Zhao, Rongzhen
;
Wu, Yaochun
;
Yang, Chao
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  |  
浏览/下载:2/0
  |  
提交时间:2021/10/14
A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem
期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021
作者:
Zhao, Fuqing
;
Hu, Xiaotong
;
Wang, Ling
;
Li, Zekai
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/06/03
Distributed permutation flow shop scheduling
Neighborhood structures
Differential evolution
Knowledge
Makespan
Intelligent decision-making of scheduling for dynamic permutation flowshop via deep reinforcement learning
期刊论文
Sensors (Switzerland), 2021, 卷号: 21, 期号: 3, 页码: 1-20
作者:
Yang SL(杨圣落)
;
Xu ZG(徐志刚)
;
Wang JY(王军义)
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  |  
浏览/下载:14/0
  |  
提交时间:2021/02/14
permutation flowshop scheduling problem
deep reinforcement learning
actor-critic
dynamic scheduling
real-time scheduling
new job arrival
tardiness cost
Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning
会议论文
Chongqing, China, March 12-14, 2021
作者:
Yang SL(杨圣落)
;
Xu ZG(徐志刚)
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  |  
浏览/下载:11/0
  |  
提交时间:2021/05/10
dynamic scheduling
deep reinforcement learning
PFSP
deep Q network (DQN)
intelligent scheduling
dynamic job arrival
Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing
期刊论文
International Journal of Production Research, 2021, 页码: 1-18
作者:
Yang SL(杨圣落)
;
Xu ZG(徐志刚)
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/08/03
Deep reinforcement learning
dynamic scheduling and reconfiguration
A2C
reconfigurable manufacturing system (RMS)
intelligent scheduling
dynamic job arrival
An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling
期刊论文
COMPLEXITY, 2020, 卷号: 2020, 页码: 15
作者:
Wu, Peiliang
;
Yang, Qingyu
;
Chen, Wenbai
;
Mao, Bingyi
;
Yu, Hongnian
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  |  
浏览/下载:11/0
  |  
提交时间:2021/03/02
A Unified Framework for Low-Latency Speaker Extraction in Cocktail Party Environments
会议论文
Shanghai, China, October 25–29, 2020
作者:
Yunzhe Hao
;
Jiaming Xu
;
Jing Shi
;
Peng Zhang
;
Lei Qin
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2022/06/23
Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Adaptive Fractal and Network Analysis: A Clinical Perspective
期刊论文
FRONTIERS IN PHYSIOLOGY, 2020, 卷号: 11, 页码: 15
作者:
Li, Qiong
;
Gao, Jianbo
;
Zhang, Ziwen
;
Huang, Qi
;
Wu, Yuan
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2020/09/28
EEG
epileptiform discharges
adaptive fractal analysis
Hurst parameter
singular value decomposition
brain network
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