Research graph
References from Short- and long-term weather prediction based on a hybrid of CEEMDAN, LMD, and ANN. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Exploring the optimal climate conditions for maximum maize production in Ghana: implications for food security
10.1016/j.atech.2023.100370 · 2023 · External reference
Hedging the Effect of Climate Change on Crop Yields by Pricing Weather Index Insurance Based on Temperature
2022 · External reference
Weather derivatives for managing weather and climate risk in agriculture
10.1142/s2424786320500498 · 2020 · External reference
Index insurance benefits agricultural producers exposed to excessive rainfall risk
10.1016/j.wace.2018.10.003 · 2018 · External reference
Deterministic nonperiodic flow
10.1175/1520-0469(1963)020<0130:dnf>2.0.co;2 · 1963 · External reference
Boosting salp swarm algorithm by opposition-based learning concept and sine cosine algorithm for engineering design problems
10.1007/s00500-023-09147-z · 2023 · External reference
Extreme learning machine based prediction of daily dew point temperature
10.1016/j.compag.2015.08.008 · 2015 · External reference
Generalized linear modeling approach to stochastic weather generators
10.3354/cr034129 · 2007 · External reference
10.1088/1742-6596/1501/1/012012
10.1088/1742-6596/1501/1/012012 · External reference
Prediction of daily maximum temperature using a support vector regression algorithm
10.1016/j.renene.2011.03.030 · 2011 · External reference
Daily Weather Forecasting Based on Deep Learning Model: A Case Study of Shenzhen City, China
10.3390/atmos13081208 · 2022 · External reference
A two-level adaptive chirp mode decomposition and tangent entropy in estimation of single-valued neutrosophic cross-entropy for detecting impeller defects in centrifugal pump
10.1016/j.apacoust.2022.108905 · 2022 · External reference
A wind power forecasting method based on optimized decomposition prediction and error correction
10.1016/j.epsr.2022.107886 · 2022 · External reference
Monthly mean meteorological temperature prediction based on VMD-DSE and Volterra adaptive model
2020 · External reference
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
10.1098/rspa.1998.0193 · 1998 · External reference
Ensemble empirical mode decomposition: a noise-assisted data analysis method
10.1142/s1793536909000047 · 2009 · External reference
10.1109/icassp.2011.5947265
10.1109/icassp.2011.5947265 · External reference
A confidence limit for the empirical mode decomposition and Hilbert spectral analysis
10.1098/rspa.2003.1123 · 2003 · External reference
Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy
10.1016/j.knosys.2023.110984 · 2023 · External reference
Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould
10.1016/j.measurement.2021.109389 · 2021 · External reference
10.1007/978-3-642-38679-4_47
10.1007/978-3-642-38679-4_47 · External reference
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
10.1016/j.energy.2021.121981 · 2022 · External reference
On forecasting the intraday Bitcoin price using ensemble of variational mode decomposition and generalized additive model
10.1016/j.jksuci.2020.01.006 · 2022 · External reference
Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regression
2021 · External reference
Combining discrete wavelet decomposition with soft computing techniques to predict monthly evapotranspiration in semi-arid Hakkâri province, Türkiye
2023 · External reference
Hourly stepwise forecasting for solar irradiance using integrated hybrid models CNN-LSTM-MLP combined with error correction and VMD
10.1016/j.enconman.2023.116804 · 2023 · External reference
Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow
2019 · External reference
Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network
2007 · External reference
Optimal forecast combination based on ensemble empirical mode decomposition for agricultural commodity futures prices
10.1002/for.2665 · 2020 · External reference
10.5772/intechopen.86007
10.5772/intechopen.86007 · External reference
The performance analysis of robust local mean mode decomposition method for forecasting of hydrological time series
10.1007/s40996-021-00809-2 · 2022 · External reference
The local mean decomposition and its application to EEG perception data
10.1098/rsif.2005.0058 · 2005 · External reference
Elimination of end effects in local mean decomposition using spectral coherence and applications for rotating machinery
10.1016/j.dsp.2016.04.007 · 2016 · External reference
Time–frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis
10.1016/j.ymssp.2017.09.042 · 2018 · External reference
10.1109/pesgre52268.2022.9715954
10.1109/pesgre52268.2022.9715954 · External reference
Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature
10.5194/gmd-7-1247-2014 · 2013 · External reference
Summarizing multiple aspects of model performance in a single diagram
10.1029/2000jd900719 · 2001 · External reference
Model evaluation guidelines for systematic quantification of accuracy in watershed simulations
10.13031/2013.23153 · 2007 · External reference
Applicability of a three-stage hybrid model by employing a two-stage signal decomposition approach and a deep learning methodology for runoff forecasting at Swat River catchment, Pakistan
External reference
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
10.1016/j.jhydrol.2018.12.060 · 2019 · External reference
Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia
10.1016/j.rser.2019.109293 · 2019 · External reference
