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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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共17条,第1-10条
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Combined Physical Process and Deep Learning for Daily Water Level Simulations across Multiple Sites in the Three Gorges Reservoir, China
期刊论文
WATER, 2023, 卷号: 15, 期号: 18, 页码: 16
作者:
Xie, Mingjiang
;
Shan, Kun
;
Zeng, Sidong
;
Wang, Lan
;
Gong, Zhigang
;
Wu, Xuke
;
Yang, Bing
;
Shang, Mingsheng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/25
water level prediction
Three Gorges Reservoir
deep learning
hybrid model
Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning
期刊论文
TOXINS, 2022, 卷号: 14, 期号: 8, 页码: 16
作者:
Wang, Xiaoxiao
;
Wang, Lan
;
Shang, Mingsheng
;
Song, Lirong
;
Shan, Kun
收藏
  |  
浏览/下载:113/0
  |  
提交时间:2022/10/14
Microcystis blooms
microcystins
nutrient
zooplankton
machine learning
risk management
Lake Taihu
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:
Yuan, Ye
;
He, Qiang
;
Luo, Xin
;
Shang, Mingsheng
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Big Data
Data models
Stochastic processes
Training
Software algorithms
Big data
latent factor analysis
generally multilayered structure
deep forest
multilayered extreme learning machine
randomized-learning
high-dimensional and sparse matrix
stochastic gradient descent
randomized model
An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Shang, Mingsheng
;
Yuan, Ye
;
Luo, Xin
;
Zhou, MengChu
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  |  
浏览/下载:54/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Convergence
Data models
Predictive models
Linear programming
Euclidean distance
-divergence
big data
convergence analysis
high-dimensional and sparse (HiDS) data
momentum
machine learning
missing data estimation
non-negative latent factor analysis (NLFA)
recommender system (RS)
Use statistical machine learning to detect nutrient thresholds in Microcystis blooms and microcystin management
期刊论文
HARMFUL ALGAE, 2020, 卷号: 94, 页码: 10
作者:
Shan, Kun
;
Wang, Xiaoxiao
;
Yang, Hong
;
Zhou, Botian
;
Song, Lirong
;
Shang, Mingsheng
收藏
  |  
浏览/下载:157/0
  |  
提交时间:2020/08/24
Bayesian modelling
Eutrophication
Nutrient thresholds
Cyanobacterial blooms
Microcystis
Microcystin
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:395/0
  |  
提交时间:2020/02/18
DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198
作者:
Wang, Qingxian
;
Peng, Binbin
;
Shi, Xiaoyu
;
Shang, Tianqi
;
Shang, Mingsheng
Adobe PDF(4751Kb)
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收藏
  |  
浏览/下载:144/0
  |  
提交时间:2019/06/24
Recommender systems
collaborative filtering
rating prediction
denoising autoencoders
multi layered perceptron
Self-training semi-supervised classification based on density peaks of data
期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 180-191
作者:
Wu, Di
;
Shang, Mingsheng
;
Luo, Xin
;
Xu, Ji
;
Yan, Huyong
;
Deng, Weihui
;
Wang, Guoyin
收藏
  |  
浏览/下载:168/0
  |  
提交时间:2018/03/05
Density peaks
Self-training
Semi-supervised classification
Supervised learning
On minimizing total energy consumption in the scheduling of virtual machine reservations
期刊论文
Journal of Network and Computer Applications, 2018, 卷号: 113, 页码: 64-74
作者:
Tian, Wenhong
;
He, Majun
;
Guo, Wenxia
;
Huang, Wenqiang
;
Shi, Xiaoyu
;
Shang, Mingsheng
;
Toosi, Adel Nadjaran
;
Buyya, Rajkumar
Adobe PDF(4775Kb)
  |  
收藏
  |  
浏览/下载:139/0
  |  
提交时间:2019/06/26
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications
期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Shang, Mingsheng
Adobe PDF(805Kb)
  |  
收藏
  |  
浏览/下载:416/0
  |  
提交时间:2019/06/26