Results 61 to 70 of about 18,123 (142)

Adaptive time series analysis of Mauna Loa CO2 data: tvf-EMD based detrend and extraction of seasonal variability

, 2020
8 pages, 3 ...
Bianchi, Stefano, Longo, Alessandro, Plastino, Wolfango   +2 more
openaire   +2 more sources

A Fault Diagnosis Method for Rolling Bearings Based on Improved Speed Time-Varying Filtering Empirical Mode Decomposition and Adaptive Sine–Cosine Optimization Algorithm

Machines
As a critical mechanical component, the operational integrity of rolling bearings is essential for equipment safety. However, under strong noise interference, the weak fault features in vibration signals are difficult to extract. To address this issue, a
Lifeng Wang, Mingchen Lv, Wenming Cheng, Xiao Xu, Zejun Zheng, Dongli Song   +5 more
doaj   +1 more source

Linking deterministic and probabilistic paradigms: a peak-sensitive prediction framework for heterogeneous runoff processes

Geomatics, Natural Hazards & Risk
With intensifying hydroclimatic nonstationarity and human regulation, seasonal runoff peaks have become erratic, undermining conventional deterministic forecasts.
Xuehua Zhao, Jiatong An, Bowen Zhu, Qiucen Guo, Huifang Wang, Xiaoqi Guo   +5 more
doaj   +1 more source

Short-term wind power forecasting method integrating TWP and Time-frequency dual-channel FxLSTM architecture

工程科学学报
Accurate short-term wind power forecasting is essential for ensuring grid stability, optimizing energy dispatch, and promoting the large-scale integration of renewable energy in the context of global low-carbon development.
Rui WANG, Chenjie YUAN, Jing LU
doaj   +1 more source

Débruitage fréquentiel de signaux par EMD [PDF]

, 2013
Dans cet article, nous proposons un nouveau schéma de débruitage des signaux basé sur la décomposition modale empirique associée à une analyse fréquentielle.
DARE, Delphine, DARE-EMZIVAT, Delphine, BOUDRAA, Abdel-Ouahab, KOMATY, Ali   +3 more
core  

A novel multivariate decomposition-based hybrid model for interpretable multi-step-ahead daily reference evapotranspiration forecasting

Journal of Hydrology: Regional Studies
Study region: The Yazd and Ramsar stations are located in hybrid arid and humid climates in Iran, respectively. Study focus: This research study develops a complementary expert system for accurately forecasting reference evapotranspiration (ET0) over one,
Ali Matoog Obaid Lebawi, Mahnoosh Moghaddasi, Mehdi Mohammadi Ghaleni, Mansour Moradi   +3 more
doaj   +1 more source

Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learning

Journal of Hydrology: Regional Studies
Study region: The Bam and Babolar stations are located in hyperarid and humid climates in Iran, respectively. Study focus: The primary objective of this study is to implement Artificial Intelligence (AI) to enhance multistep forecasting of the ...
Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, Mehdi Jamei   +3 more
doaj   +1 more source

Extraction and performance analysis of tidal signals from non-stationary continuous gravity data based on TVF-EMD

Geophysical Journal International
SUMMARY The precise extraction of tidal signals from non-stationary gravity observations is a central challenge in geophysics, where accuracy is often limited by mode mixing in data pre-processing algorithms. This study evaluates the performance of the Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD) method to address ...
Zhongkun Qiao, Qiuzhu Jiang, Peng Yuan, Xinyi Huang, Jin Wei, Yunfeng Zhao, Xiaodong Chen, Bin Wu, Qiang Lin   +8 more
openaire   +1 more source

Blood Glucose Concentration Prediction Based on Double Decomposition and Deep Extreme Learning Machine Optimized by Nonlinear Marine Predator Algorithm

Mathematics
Continuous glucose monitoring data have strong time variability as well as complex non-stationarity and nonlinearity. The existing blood glucose concentration prediction models often overlook the impacts of residual components after multi-scale ...
Yang Shen, Deyi Li, Wenbo Wang, Xu Dong
doaj   +1 more source

Air travel demand forecasting based on big data: A struggle against public anxiety. [PDF]

Front Psychol, 2022
Liang X, Hong C, Zhou W, Yang M.
europepmc   +1 more source