Results 61 to 70 of about 49,831 (187)
Chinese Journal of Mechanical Engineering, 2022 Low excitation voltage for an electromagnetic acoustic transducer (EMAT) is necessary for the petrochemical equipment and facilities inspection, which work at high-temperatures, to avoid potential explosion.
Jinjie Zhou +4 more
doaj +1 more source
Multilevel ensemble Kalman filtering for spatio-temporal processes
, 2020 We design and analyse the performance of a multilevel ensemble Kalman filter method (MLEnKF) for filtering settings where the underlying state-space model is an infinite-dimensional spatio-temporal process.
Chernov, Alexey +4 more
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Jurnal Teknik Industri, 2020 Improving accuracy of wind power prediction is important to maintain power system stability. However, wind power prediction is difficult due to randomness and high volatility characteristics.
Irene Karijadi, Ig. Jaka Mulyana
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A decomposition clustering ensemble learning approach for forecasting foreign exchange rates
Journal of Management Science and Engineering, 2019 A decomposition clustering ensemble (DCE) learning approach is proposed for forecasting foreign exchange rates by integrating the variational mode decomposition (VMD), the self-organizing map (SOM) network, and the kernel extreme learning machine (KELM).
Yunjie Wei +4 more
doaj +1 more source
Using Empirical Mode Decomposition to Study Periodicity and Trends in Extreme Precipitation [PDF]
, 2015 Classically, we look at annual maximum precipitation series from the perspective of extreme value statistics, which provides a useful statistical distribution, but does not allow much flexibility in the context of climate change.
Pfister, Noah
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Symplectic Model Reduction of Hamiltonian Systems [PDF]
, 2015 In this paper, a symplectic model reduction technique, proper symplectic decomposition (PSD) with symplectic Galerkin projection, is proposed to save the computational cost for the simplification of large-scale Hamiltonian systems while preserving the ...
Mohseni, Kamran, Peng, Liqian
core
Quantification of Dynamic Properties of Pile Using Ensemble Empirical Mode Decomposition
Advances in Civil Engineering, 2018 This paper investigated dynamical interactions between pile and frozen ground by using the ensemble empirical mode decomposition (EEMD) method. Unlike the conventional empirical mode decomposition (EMD) method, EEMD is found to be able to separate the ...
Feng Xiao +3 more
doaj +1 more source
Malware Detection in the Cloud under Ensemble Empirical Mode Decomposition [PDF]
Cloud networks underpin most of todays’ socioeconomical Information Communication Technology (ICT) environments due to their intrinsic capabilities such as elasticity and service transparency.
Chatzimisios, P +3 more
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Ensemble empirical mode decomposition for tree-ring climate reconstructions
Theoretical and Applied Climatology, 2011 A novel data adaptive method named ensemble empirical mode decomposition (EEMD) was used to reconstruct past temperature and precipitation variability in two 2,328- and 1,837-year tree-ring chronologies from the Dulan region, northeastern Qinghai–Tibetan Plateau.
Shi, Feng +4 more
openaire +2 more sources
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
, 2018 We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Byeon, Wonmin +4 more
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