Results 51 to 60 of about 4,529 (276)

Hyperparameter optimization of support vector machine using adaptive differential evolution for electricity load forecasting

Energy Reports, 2022
Peak load forecasting plays an integral part in the planning and operating of energy plants for the utility companies and policymakers to devise reliable and stable power infrastructure.
M. Zulfiqar, M. Kamran, M.B. Rasheed, T. Alquthami, A.H. Milyani   +4 more
doaj   +1 more source

Mode decomposition-based time-varying phase synchronization for fMRI

NeuroImage, 2022
Recently, there has been significant interest in measuring time-varying functional connectivity (TVC) between different brain regions using resting-state functional magnetic resonance imaging (rs-fMRI) data.
Hamed Honari, Martin A. Lindquist
doaj   +1 more source

Classification of motor imagery signals using noise-assisted fast multivariate empirical mode decomposition

智能科学与技术学报, 2020
The brain-computer interface is an emerging technology,which can analyze the collected motor imagery signals to control the external auxiliary equipment.A new method based on the noise-assisted fast multivariate empirical mode decomposition (NA-FMEMD ...
Qian ZHENG, Dan QIAO, Xun LANG, Lei XIE, Dongliu Li, Qibing Wang, Hongye SU   +6 more
doaj  

Developing stage–discharge relationships using multivariate empirical mode decomposition-based hybrid modeling

Applied Water Science, 2018
This paper proposes an alternative method for modeling stage–discharge relationships by accounting significant information from different process scales employing the multivariate empirical mode decomposition (MEMD).
S. Adarsh, Ajin P. John, R. N. Anagha, Abi Abraham, M. P. Afiya, K. K. Arathi, Aaliya Azeem   +6 more
doaj   +1 more source

THEORY OF DIGITAL FILTER BANKS REALIZED VIA MULTIVARIATE EMPIRICAL MODE DECOMPOSITION [PDF]

Advances in Adaptive Data Analysis, 2014
Undecimated and decimated multivariate empirical mode decomposition filter banks (MEMDFBs) are introduced in order to incorporate MEMD equipped with downsampling into any arbitrary tree structure and provide flexibility in the choice of frequency bands.
Min-Sung Koh, Danilo P. Mandic, Anthony G. Constantinides   +2 more
openaire   +1 more source

A Novel Algorithm for the Decomposition of Non-Stationary Multidimensional and Multivariate Signals

Computation
The decomposition of a signal is a fundamental tool in many fields of research, including signal processing, geophysics, astrophysics, engineering, medicine, and many more.
Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou   +3 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Scale dependent prediction of reference evapotranspiration based on Multi-Variate Empirical mode decomposition

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, Sulaiman Sanah, K.K. Murshida, P. Nooramol   +3 more
doaj   +1 more source

Epileptic seizure detection using multivariate empirical mode decomposition and support vector machines [PDF]

, 2020
International audienceAutomatic detection of epileptic seizures is a very crucial step for diagnosing patients with drug-resistant epilepsies. If visual analysis of long-term electroencephalographic signals is the most reliable technique, automatic ...
Sahbi Chaibi, Fatma Krikid, Krikid, F., Anca Nica, Abdennaceur Kachouri, Bouquin Jeannes, R.L., Chahira Mahjoub, Regine Le Bouquin Jeannes, Mahjoub, C., Chaibi, S., Kachouri, A., Nica, A.   +11 more
core   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source