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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system 期刊论文 ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 9, 页码: 12 作者:  Gholami, Hamid;  Mohammadifar, Aliakbar;  Malakooti, Hossein;  Esmaeilpour, Yahya;  Golzari, Shahram 收藏  |  浏览/下载：55/0  |  提交时间：2021/12/07 Dust spatial mapping  Effective factors  Deep learning  Hybrid copula-gcForest model  Gaussian copula model  Model sensitivity  Central asia   Analysis of Raman Spectra by Using Deep Learning Methods in the Identification of Marine Pathogens 期刊论文 ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 32, 页码: 11089-11098 作者:  Yu, Shixiang;  Li, Xin;  Lu, Weilai;  Li, Hanfei;  Fu, Yu Vincent 收藏  |  浏览/下载：22/0  |  提交时间：2021/11/02 An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume 期刊论文 Biomedical Signal Processing and Control, 2021, 卷号: 69, 期号: 无, 页码: 102829 作者:  Liu, Jing 收藏  |  浏览/下载：24/0  |  提交时间：2022/01/12 Neuron tracing  Electron microscopy  Deep learning  Convolutional LSTM   Deep Learning-Based Prediction of Wind Power for Multi-turbines in a Wind Farm 期刊论文 FRONTIERS IN ENERGY RESEARCH, 2021, 卷号: 9 作者:  Chen, Xiaojiao;  Zhang, Xiuqing;  Dong, Mi;  Huang, Liansheng;  Guo, Yan 收藏  |  浏览/下载：21/0  |  提交时间：2021/09/06 wind farm  wind turbine  convolutional neural network  long short-term memory network  spatiotemporal power prediction   A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者:  Zhao-Hua Liu 收藏  |  浏览/下载：14/0  |  提交时间：2021/07/20 Deep learning  fault diagnosis  fault prognosis  long and short time memory network (LSTM)  rolling bearing  rotating machinery  regularization  remaining useful life prediction (RUL)  recurrent neural network (RNN)   A deep learning model for joint prediction of three-dimensional ocean temperature, salinity and flow fields 会议论文 Dalian, China, July 15-17, 2021 作者:  Jin QL(金乾隆);  Tian Y(田宇);  Song SM(桑启明);  Liu SJ(刘世杰);  Yu JC(俞建成) 收藏  |  浏览/下载：7/0  |  提交时间：2021/11/21 ocean prediction  deep learning  convolutional LSTM  adaptive ocean sensing  marine vehicles   Deep Learning Anomaly Detection Based on Hierarchical Status-Connection Features in Networked Control Systems 期刊论文 INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2021, 卷号: 30, 期号: 1, 页码: 337-350 作者:  Zhao JM(赵剑明);  Zeng P(曾鹏);  Chen CY(陈春雨);  Dong, Zhiwei;  Han, Jongho 收藏  |  浏览/下载：12/0  |  提交时间：2021/08/12 Deep learning anomaly detection  networked control system  CNN  LSTM