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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：199/0  |  提交时间：2024/01/17
chlorophyll fluorescence  deep learning  online monitoring  time-series decomposition  Dianchi Lake  
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：9/0  |  提交时间：2023/12/25
water level prediction  Three Gorges Reservoir  deep learning  hybrid model  
A new, feasible, and convenient method based on semantic segmentation and deep learning for hemoglobin monitoring 期刊论文
FRONTIERS IN MEDICINE, 2023, 卷号: 10, 页码: 9
作者:  Hu, Xiao-Yan;  Li, Yu-Jie;  Shu, Xin;  Song, Ai-Lin;  Liang, Hao;  Sun, Yi-Zhu;  Wu, Xian-Feng;  Li, Yong-Shuai;  Tan, Li-Fang;  Yang, Zhi-Yong;  Yang, Chun-Yong;  Xu, Lin-Quan;  Chen, Yu-Wen;  Yi, Bin
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
continuous hemoglobin monitoring  deep learning  semantic segmentation  mask R-CNN  MobileNetV3  
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  
Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 9, 页码: 19
作者:  Liao, Jun;  Lin, Yuanchang;  Ma, Tengyun;  He, Songxiying;  Liu, Xiaofang;  He, Guotian
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25
deep learning  facial expression recognition  attention mechanism  LBP features  
A comprehensive wind speed forecast correction strategy with an artificial intelligence algorithm 期刊论文
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 卷号: 10, 页码: 12
作者:  Zhao, Xueliang;  Sun, Qilong;  Tang, Wanru;  Yu, Shuang;  Wang, Boyu
收藏  |  浏览/下载：32/0  |  提交时间：2023/02/07
wind speed  numerical weather prediction  forecast correction  deep learning  artificial intelligence  
Convolutional-de-convolutional neural networks for recognition of surgical workflow 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2022, 卷号: 16, 页码: 10
作者:  Chen, Yu-wen;  Zhang, Ju;  Wang, Peng;  Hu, Zheng-yu;  Zhong, Kun-hua
收藏  |  浏览/下载：44/0  |  提交时间：2022/12/26
neural networks  convolutional-de-convolutional  transfer learning  surgical workflow  deep learning  
MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 15
作者:  Chen, Lin;  Song, Jingkuan;  Zhang, Xuerui;  Shang, Mingsheng
收藏  |  浏览/下载：96/0  |  提交时间：2022/08/22
Pedestrian attribute recognition  Multi-label contrastive loss  Deep convolutional neural network  Multi-label learning  Imbalanced learning  
Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文
WATER, 2022, 卷号: 14, 期号: 11, 页码: 21
作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun;  Li, Zhenghao;  Song, Jinxi;  Xia, Jun
收藏  |  浏览/下载：87/0  |  提交时间：2022/08/22
mid- to long-term runoff prediction  deep learning models  time lag  lead time  
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：74/0  |  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