Results 61 to 70 of about 5,816 (193)
Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain-computer interface applications [PDF]
An extension to multivariate empirical mode decomposition (MEMD), termed adaptive-projection intrinsically transformed MEMD (APIT-MEMD), is proposed to cater for power imbalances and inter-channel correlations in real-world multichannel data. It is shown
Goverdovsky, V +3 more
core +1 more source
Rolling bearings are important components in rotary machinery systems. In the field of multi-fault diagnosis of rolling bearings, the vibration signal collected from single channels tends to miss some fault characteristic information.
Rui Yuan, Yong Lv, Gangbing Song
doaj +1 more source
Root lodging severely limits crop yield and quality. We reveal that ZmRLR1, a plasma membrane b‐type cytochrome, regulates lodging resistance in maize through dual roles: modulating intracellular redox balance and functioning as a novel component of clathrin‐mediated endocytosis to influence auxin homeostasis. Moreover, natural variations in the ZmRLR1
Wenshuai Lv +7 more
wiley +1 more source
ABSTRACT Background Candida species are common causes of nosocomial infections. Candida parapsilosis has emerged as an important pathogen. Mortality rates associated with invasive C. parapsilosis infections range from 14.5% to 47%, with azole resistance estimated between 4% and 15%.
María de Lourdes García‐Hernández +16 more
wiley +1 more source
In this study maize chloroplastic malate dehydrogenase7 (ZmMDH7), is identified as a Rhizoctonia solani resistance gene in maize. ZmMDH7 is regulated by transcription factor ZmWRKY44 via pathogens challenge to elevate mitochondrial ROS and SA signaling pathway.
Luyang Wei +9 more
wiley +1 more source
Nowadays, carbon trading policy is regarded as an effective method to control carbon emissions. Accurate prediction of carbon trading price can benefit both governments and enterprises. To enhance the accuracy of prediction, this paper proposes a novel three‐stage carbon trading price prediction model combining time–frequency decomposition and hybrid ...
Haochu Cui, Yan Sun, Peiyue Cheng
wiley +1 more source
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 +6 more
doaj +1 more source
Low-Density EEG for Neural Activity Reconstruction Using Multivariate Empirical Mode Decomposition
Several approaches can be used to estimate neural activity. The main differences between them concern the a priori information used and its sensitivity to high noise levels.
Andres Soler +5 more
doaj +1 more source
Forecasting relative humidity remains challenging due to its nonlinear, nonstationary characteristics and long‐memory dependence. This study proposes a hybrid decomposition‐ensemble model, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Sample Entropy–Gated Recurrent Unit–Ridge Regression (CEEMDAN‐SE‐GRU‐Ridge), for one‐step‐ahead ...
John Kamwele Mutinda +4 more
wiley +1 more source
Background Apical periodontitis (AP) is an inflammatory response to microbial infection of the root canal system. The microorganisms that cause AP can modulate the host’s immune response by secreting inflammatory biomarkers, which might be associated with cardiovascular diseases.
Carolina Viana Vasco Lyra +8 more
wiley +1 more source

