机构

• 数学与系统科学研究院 [4]
• 沈阳自动化研究所 [3]
• 武汉岩土力学研究所 [2]
• 寒区旱区环境与工程研... [1]
• 合肥物质科学研究院 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [11]
• iSwitch采集 [1]

内容类型

• 期刊论文 [10]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2023 [1]
• 2022 [4]
• 2021 [3]
• 2020 [1]
• 2019 [2]
• 2018 [1]
• 更多

学科主题

• Geochemist... [1]

筛选

浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Research on Magnetohydrodynamic Angular Rate Sensor Denoising for a Space Laser Stabilization Control System 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 10 作者:  Su, Yunhao;  Ma, Caiwen;  Han, Junfeng;  Wang, Xuan;  Wang, Yuanyuan   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/07/03 harmonic vibration  MHD ARS  autocorrelation  CEEMDAN  WTD   A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN 期刊论文  OAI收割 JOURNAL OF SENSORS, 2022, 卷号: 2022 作者:  Li, Zebin;  Gao, Lifu;  Lu, Wei;  Wang, Daqing;  Cao, Huibin   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/12/22 Development and Application of a Novel Hybrid CEEMDAN-LWT Denoising Approach in Microseismic Monitoring 期刊论文  OAI收割 PURE AND APPLIED GEOPHYSICS, 2022, 卷号: 179, 期号: 9, 页码: 3279 作者:  Yin, Xin;  Liu, Quansheng;  Huang, Xing;  Pan, Yucong   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/08/02 Tunnel engineering  microseismic denoising  LWT  CEEMDAN   Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 20 作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/04/29 Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy   Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks 期刊论文  OAI收割 ENERGY, 2022, 卷号: 238, 页码: 22 作者:  Li, Dan;  Jiang, Fuxin;  Chen, Min;  Qian, Tao   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/04/02 Wind speed forecasting  Ensemble patch transform  Complete ensemble empirical mode  decomposition  Temporal convolutional network  Hybrid method   Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文  OAI收割 APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15 作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/04/29 PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning   Estimating the reaction of Bitcoin prices to the uncertainty of fiat currency 期刊论文  OAI收割 RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2021, 卷号: 58, 页码: 16 作者:  Jin, Xuejun;  Zhu, Keer;  Yang, Xiaolan;  Wang, Shouyang   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/04/02 Bitcoin  Fiat currency  Empirical mode decomposition  Event analysis   Anomaly Detection Collaborating Adaptive CEEMDAN Feature Exploitation with Intelligent Optimizing Classification for IIoT Sparse Data 期刊论文  OAI收割 Wireless Communications and Mobile Computing, 2021, 卷号: 2021, 页码: 1-13 作者:  Zhao JM(赵剑明);  Zeng P(曾鹏);  Wan M(万明);  Xu, Xinlu;  Li JF(李晋芳)   |  收藏  |  浏览/下载：16/0  |  提交时间：2021/10/30 Scale model test study of influence of joints on blasting vibration attenuation 期刊论文  OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2020, 页码: 18 作者:  Yu, Chong;  Yue, Haozhen;  Li, Haibo;  Xia, Xiang;  Liu, Bo   |  收藏  |  浏览/下载：12/0  |  提交时间：2021/05/25 Blasting vibration  Jointed rock masses  Model test  Attenuation law  Energy distribution   Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems 期刊论文  iSwitch采集 JOURNAL OF HYDROLOGY, 2019, 卷号: 570, 页码: 167-184 作者:  Wen, Xiaohu;  Feng, Qi;  Deo, Ravinesh C.;  Wu, Min;  Yin, Zhenliang 收藏  |  浏览/下载：81/0  |  提交时间：2019/10/08 Expert system  Runoff  Integrated model  Complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)  Variational mode decomposition (VMD)  Extreme learning machine (ELM)