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An Intelligent Classification Approach via Multiple Classifier Fusion and Its Application to the Fault Diagnosis

IEEE Access, 2023
The performance of classifiers plays a crucial role in identifying fault categories under mechanical fault diagnosis task. This paper presents a new intelligent classification approach via NA-MEMD and multiple classifier fusion for fault diagnosis, which
Lin Li +4 more
doaj +1 more source

Hodgkin and non‐Hodgkin lymphomas in the post‐antiretroviral therapy era according to HIV virological suppression

HIV Medicine, Volume 27, Issue 8, Page 1312-1332, August 2026.
Abstract Objectives Lymphomas remain among the most frequent HIV‐associated malignancies, with risk persisting despite effective virological control. This study describes the clinical, epidemiological and prognostic characteristics of lymphomas (both Hodgkin [HL] and non‐Hodgkin [NHL]) in people living with HIV (PLWH), according to virological ...
Teresa Aldámiz‐Echevarria +555 more
wiley +1 more source

Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition

Discrete Dynamics in Nature and Society, 2012
This paper presents a subband approach to financial time series prediction. Multivariate empirical mode decomposition (MEMD) is employed here for multiband representation of multichannel financial time series together. Autoregressive moving average (ARMA)
Md. Rabiul Islam +3 more
doaj +1 more source

Early Fault Detection Method for Rotating Machinery Based on Harmonic-Assisted Multivariate Empirical Mode Decomposition and Transfer Entropy

Entropy, 2018
It is a difficult task to analyze the coupling characteristics of rotating machinery fault signals under the influence of complex and nonlinear interference signals.
Zhe Wu +4 more
doaj +1 more source

The ZmCOP1s–ZmCOL3 Module Enhances Late Flowering, Grain Yield and Grain Quality in Maize

Plant Biotechnology Journal, Volume 24, Issue 6, Page 4415-4432, June 2026.
ABSTRACT Flowering time is a key determinant of yield and regional adaptation in crops and is largely controlled by light signalling. In this study, we identified two maize orthologs of Arabidopsis CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1), designated ZmCOP1a and ZmCOP1b, which activate light signalling and reduce plant height. Loss‐of‐function mutants of
Shuling Yang +15 more
wiley +1 more source

Multiscale Modelling of Daily Suspended Sediment Load Using MEMD-SLR Coupled Approach

, 2018
Modelling suspended sediment load (SSL) from rivers is a complex problem in river basin management. This chapter presents hybrid framework multivariate empirical mode decomposition (MEMD) and stepwise linear regression (SLR) for estimation of SSL from ...
M. Janga Reddy, Adarsh S.
core +1 more source

Stem microanatomical phenomic uncovers a potential role for ZmLSM2 in regulating maize stem bending strength

Journal of Integrative Plant Biology, Volume 68, Issue 5, Page 1271-1289, May 2026.
Maize ZmLSM2 (U6 small nuclear ribonucleoprotein specific Sm‐like 2) controls maize stem strength by affecting vascular bundle structure. Using advanced computed tomography imaging and artificial intelligence identified key stem traits linked to lodging resistance and developed a predictive model.
Ying Zhang +14 more
wiley +1 more source

Stress Granule‐Associated ZmCTU2 Confers Thermotolerance in Maize via Coordinated Regulation of Proteostasis and ROS Homeostasis

Plant Biotechnology Journal, Volume 24, Issue 5, Page 3371-3390, May 2026.
ABSTRACT The escalating global temperatures and intensifying heat stress events pose significant threats to maize productivity worldwide. Uncovering key thermotolerance genes and their functional mechanisms is thus critical for developing climate‐resilient crops.
Yufang Xu +8 more
wiley +1 more source

An Ensemble Multivariate Multiscale Framework for Prediction of Long‐Term Solar Activity With Nonstationary Oscillations

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract Solar activity is usually characterized by different indices from different perspectives, which are commonly interconnected and contain nonstationary oscillations (NSOs). Given the significant influence of solar activity on space weather, the Earth and humans, it is of great significance to predict solar activity for better understanding not ...
Shan Jiang +4 more
wiley +1 more source

Comparison between MEMD-LSSVM and MEMD-ARIMA in forecasting exchange rate [PDF]

, 2017
Due to the non-stationary and non-linearity behaviors of exchange rate data, an appropriate forecasting model that can capture these behaviors is crucial.
Rashid, N. I. A., Samsudin, R., Shabri, A. +2 more
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