Results 141 to 150 of about 573 (180)

Review of Hybrid Membrane Distillation Systems. [PDF]

Membranes (Basel)
Zhang H, Xian H.
europepmc   +1 more source

A hybrid approach for power quality event identification in power systems: Elasticnet Regression decomposition and optimized probabilistic neural networks. [PDF]

Heliyon
Samanta IS, Rout PK, Swain K, Cherukuri M, Panda S, Bajaj M, Blazek V, Prokop L, Misak S.   +8 more
europepmc   +1 more source

Dynamic Hyperbolic Tangent PSO-Optimized VMD for Pressure Signal Denoising and Prediction in Water Supply Networks. [PDF]

Entropy (Basel)
Shang Y, Zhang Z.
europepmc   +1 more source

SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting. [PDF]

Sci Rep
Wang WC, Gu M, Hong YH, Hu XX, Zang HF, Chen XN, Jin YG.   +6 more
europepmc   +1 more source

Echocardiographic Changes in Dogs with Stage B2 Myxomatous Mitral Valve Disease Treated with Pimobendan Monotherapy. [PDF]

Vet Sci
Crosland A, Cortes-Sanchez PM, Sudunagunta S, Bouvard J, Bode E, Culshaw G, Dukes-McEwan J.   +6 more
europepmc   +1 more source

Cognitive load detection through EEG lead wise feature optimization and ensemble classification. [PDF]

Sci Rep
Yedukondalu J, Sunkara K, Radhika V, Kondaveeti S, Anumothu M, Murali Krishna Y.   +5 more
europepmc   +1 more source

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An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control

IEEE Transactions on Neural Networks and Learning Systems, 2022
This article proposes a novel recognition algorithm for the steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI) system. By combining the advantages of multivariate variational mode decomposition (MVMD) and canonical correlation analysis (CCA), an MVMD-CCA algorithm is investigated to improve the detection ability of SSVEP
Di-Hua Zhai, Yuhan Xiong, Yuanqing Xia   +2 more
exaly   +3 more sources

A Novel Enhancement Approach Following MVMD and NMF Separation of Complex Snoring Signals

IEEE Transactions on Biomedical Engineering
Snoring is a prominent characteristic of sleep-disordered breathing, and its detection is critical for determining the severity of the upper airway obstruction and improving daily quality of life. Home snoring analysis is a highly invasive method, but it becomes challenging when a sleeping partner also snores, leading to distorted evaluations in such ...
Mariam Al Mawla, Kabalan Chaccour, Hoda Fares   +2 more
exaly   +4 more sources