Results 11 to 20 of about 5,816 (193)
On the behavior of EMD and MEMD in presence of symmetric $\alpha$-stable noise [PDF]
IEEE Signal Processing Letters, 2014 Empirical Mode Decomposition (EMD) and its extended versions such as Multivariate EMD (MEMD) are data-driven techniques that represent nonlinear and non-stationary data as a sum of a finite zero-mean AM-FM components referred to as Intrinsic Mode Functions (IMFs).
Ali Komaty +3 more
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A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction [PDF]
IEEE Access, 2020 Accurate wind speed (WS) modelling is crucial for optimal utilization of wind energy. Numerical Weather Prediction (NWP) techniques, generally used for WS modelling are not only less cost-effective but also poor in predicting in shorter time horizon ...
Hai Tao +7 more
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Deep LSTM Surrogates for MEMD: A Noise-Assisted Approach to EEG Intrinsic Mode Function Extraction
InformationIn this paper, we propose a deep learning-based surrogate model for Multivariate Empirical Mode Decomposition (MEMD) using Long Short-Term Memory (LSTM) networks, aimed at efficiently extracting Intrinsic Mode Functions (IMFs) from ...
Pablo Andres Muñoz-Gutierrez +2 more
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A Hybrid Model of MEMD and PSO-LSSVR for Steel Price Forecasting
International Journal of Engineering and Management Research, 2022 Herein, we propose a novel hybrid method for forecasting steel prices by modeling nonlinearity and time variations together to enhance forecasting adaptability. The multivariate empirical mode decomposition (MEMD)–ensemble-EMD (EEMD) approach was employed for preprocessing to separate the nonlinear and time variation components of a hot-rolled coil ...
Shyu, Yih-Wen, , Chen-Chia Chang
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Aplikasi Filter Multivariate Empirical Mode Decomposition (MEMD) Untuk Mereduksi Noise Pada Data VLF-EM [PDF]
Jurnal Teknik ITS, 2017 Alat VLF-EM menangkap gelombang elektromagnetik dari medium-medium disekitarnya. Sehingga, alat VLF-EM ini sangat sensitif terhadap benda-benda yang memiliki komponen listrik dan magnet yang besar.
Muhammad Shafran Shofyan
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Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm [PDF]
IEEE Access, 2021 Evapotranspiration, as a combination of evaporation and transpiration of water vapour, is a primary component of global hydrological cycles. It accounts for significant loss of soil moisture from the earth to the atmosphere.
W. J. M. Lakmini Prarthana Jayasinghe +4 more
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MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis [PDF]
CoRR, 2023 Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-element ABSA tasks. However, the datasets currently used in the research are limited to individual elements of specific tasks, usually ...
Hongjie Cai +9 more
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Fast and Adaptive-MEMD for Oscillation Mode Identification
2025 IEEE Power & Energy Society General Meeting (PESGM)Very Low Frequency Oscillations (VLFOs) have been observed on the Irish grid since 2009. VLFOs have been associated with changes in the way power systems are operated. Mode detection methods suitable for VLFOs are therefore of concern for grid operators. Current multivariate methods remain too computationally complex to handle wide area measurements in
Maclean, Rossita +2 more
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Ain Shams Engineering Journal, 2018 This study proposes a novel method for estimation of reference evapotranspiration (ETo) by accounting the time scale of variability using the Multivariate Empirical Mode Decomposition (MEMD).
S. Adarsh +3 more
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MEMD-HHT based Emotion Detection from EEG using 3D CNN [PDF]
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022 Accepted in 44th International Engineering in Medicine and Biology Conference (EMBC 2022)
Monira Islam, Tan Lee
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