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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  |  浏览/下载：198/0  |  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
收藏  |  浏览/下载：11/0  |  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
收藏  |  浏览/下载：74/0  |  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
收藏  |  浏览/下载：59/0  |  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
收藏  |  浏览/下载：177/0  |  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
收藏  |  浏览/下载：54/0  |  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
收藏  |  浏览/下载：393/0  |  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)  |  收藏  |  浏览/下载：145/0  |  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)  |  收藏  |  浏览/下载：233/0  |  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)  |  收藏  |  浏览/下载：149/0  |  提交时间：2019/06/24
NIR facial expression recognition  SE block  3D CNN  adaptive feature weights calibration