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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：8/0  |  提交时间：2023/12/25
water level prediction  Three Gorges Reservoir  deep learning  hybrid model  
Hand gesture recognition using smooth wavelet packet transformation and hybrid CNN based on surface EMG and accelerometer signal 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 卷号: 86, 页码: 10
作者:  Wang, Le;  Fu, Jianting;  Chen, Hui;  Zheng, Bin
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
Gesture recognition  sEMG  SWPT  CNN  LSTM  Accelerometer  
Long short-term memory with activation on gradient 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 135-145
作者:  Qin, Chuan;  Chen, Liangming;  Cai, Zangtai;  Liu, Mei;  Jin, Long
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25
Long short -term memory (LSTM)  Gradient activation  Vanishing gradient problem  Exploding gradient problem  Ill-conditioned problem  
Non-communicating Decentralized Multi-robot Collision Avoidance in Grid Graph Workspace based on Dueling Double Deep Q-Network 期刊论文
Journal of Physics: Conference Series, 2023, 卷号: 2456, 期号: 1
作者:  Liu,Yuanxin;  Tian,Delei;  Zheng,Bin
收藏  |  浏览/下载：49/0  |  提交时间：2023/08/18
Predicting Monthly Runoff of the Upper Yangtze River Based on Multiple Machine Learning Models 期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23
作者:  Li, Xiao;  Zhang, Liping;  Zeng, Sidong;  Tang, Zhenyu;  Liu, Lina;  Zhang, Qin;  Tang, Zhengyang;  Hua, Xiaojun
收藏  |  浏览/下载：39/0  |  提交时间：2022/12/26
monthly runoff prediction  machine learning  copula entropy  stepwise regression  Upper Yangtze River  
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  
Temporal prediction of algal parameters in Three Gorges Reservoir based on highly time-resolved monitoring and long short-term memory network 期刊论文
JOURNAL OF HYDROLOGY, 2022, 卷号: 605, 页码: 12
作者:  Shan, Kun;  Ouyang, Tian;  Wang, Xiaoxiao;  Yang, Hong;  Zhou, Botian;  Wu, Zhongxing;  Shang, Mingsheng
收藏  |  浏览/下载：49/0  |  提交时间：2022/08/22
Harmful algal bloom  Real-time monitoring  Long short-term memory network  Microcystin  Three Gorges Reservoir  
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
Runtime Quality Prediction for Web Services via Multivariate Long Short-Term Memory 期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 卷号: 2019, 页码: 14
作者:  Guo, Ling;  Wan, Ping;  Li, Rui;  Liu, Gang;  He, Pan
收藏  |  浏览/下载：186/0  |  提交时间：2019/12/03