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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing
期刊论文
WATER, 2023, 卷号: 15, 期号: 23, 页码: 19
作者:
Wang, Lan
;
Xie, Mingjiang
;
Pan, Min
;
He, Feng
;
Yang, Bing
;
Gong, Zhigang
;
Wu, Xuke
;
Shang, Mingsheng
;
Shan, Kun
收藏
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浏览/下载:200/0
  |  
提交时间:2024/01/17
chlorophyll fluorescence
deep learning
online monitoring
time-series decomposition
Dianchi Lake
Hyperparameter Learning for Deep Learning-Based Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 2699-2712
作者:
Wu, Di
;
Sun, Bo
;
Shang, Mingsheng
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浏览/下载:12/0
  |  
提交时间:2023/12/25
Terms-Deep learning
differential evolution
grid search
hyperparameter tuning
online services
recommender systems
Privacy-preserving and Communication-efficient Convolutional Neural Network Prediction Framework in Mobile Cloud Computing
期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2021, 卷号: 15, 期号: 12, 页码: 4345-4363
作者:
Bai, Yanan
;
Feng, Yong
;
Wul, Wenyuan
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  |  
浏览/下载:78/0
  |  
提交时间:2022/08/22
Privacy Preservation
Convolutional Neural Networks
Homomorphic Encryption
Mobile Cloud Computing
Deep Learning
cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU
期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13
作者:
Bai, Yanan
;
Liu, Quanliang
;
Wu, Wenyuan
;
Feng, Yong
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  |  
浏览/下载:60/0
  |  
提交时间:2022/08/22
privacy-preserving
convolutional neural network
homomorphic encryption
GPU computation
deep learning
cloud computing
Early Alzheimer's disease diagnosis with the contrastive loss using paired structural MRIs
期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 208, 页码: 11
作者:
Qiao, Hezhe
;
Chen, Lin
;
Ye, Zi
;
Zhu, Fan
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  |  
浏览/下载:179/0
  |  
提交时间:2021/10/13
Alzheimer's disease (AD)
Contrastive loss
Magnetic resonance imaging (MRI)
Mini-mental state examination (MMSE)
Convolutional neural network (CNN)
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 280-291
作者:
Zhang, Ce
;
Atkinson, Peter M.
;
George, Charles
;
Wen, Zhaofei
;
Diazgranados, Mauricio
;
Gerard, France
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浏览/下载:56/0
  |  
提交时间:2021/02/24
Multi-scale deep learning
Residual U-Net
Scale sequence
Semantic segmentation
Paramos
A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label
会议论文
15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019
作者:
Luo, Mengzhen
;
Shi, Xiaoyu
;
Ji, Qianqian
;
Shang, Mingsheng
;
He, Xianbo
;
Tao, Weiguo
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  |  
浏览/下载:397/0
  |  
提交时间:2020/02/18
Autonomic decentralized elasticity based on a reinforcement learning controller for cloud applications
期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 卷号: 94, 页码: 765-780
作者:
Nouri, Seyed Mohammad Reza
;
Li, Han
;
Venugopal, Srikumar
;
Guo, Wenxia
;
He, MingYun
;
Tian, Wenhong
Adobe PDF(2063Kb)
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  |  
浏览/下载:149/0
  |  
提交时间:2019/04/18
Cloud computing
Autonomic decentralized elasticity
Reinforcement learning
Resource provisioning
Cloud applications
Robust correlation filter tracking with deep semantic supervision
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760
作者:
Wang, Wei
;
Chen, Zhaoming
;
Douadji, Lyes
;
Shi, Mingquan
Adobe PDF(3083Kb)
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  |  
浏览/下载:236/0
  |  
提交时间:2019/06/24
particle filtering (numerical methods)
learning (artificial intelligence)
target tracking
convolutional neural nets
robust correlation filter tracking
high tracking performance
tracking failure
deep semantic supervision tracking framework
redetection tracking mechanism
particle filtering resampling
CF tracker
deep convolutional neural network
tracking frames
target occlusion
handcrafted features
real-time performance
OTB2013 benchmark datasets
OTB2015 benchmark datasets
Three-Stream Convolutional Neural Network with Squeeze-and-Excitation Block for Near-Infrared Facial Expression Recognition
期刊论文
ELECTRONICS, 2019, 卷号: 8, 期号: 4, 页码: 15
作者:
Chen, Ying
;
Zhang, Zhihao
;
Zhong, Lei
;
Chen, Tong
;
Chen, Juxiang
;
Yu, Yeda
Adobe PDF(1523Kb)
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  |  
浏览/下载:151/0
  |  
提交时间:2019/06/24
NIR facial expression recognition
SE block
3D CNN
adaptive feature weights calibration