Results 121 to 130 of about 406 (163)

Microstate permutation complexity of EEG signals distinguishes minimally conscious state plus from minimally conscious state minus. [PDF]

J Neuroeng Rehabil
Zhao Z, Liang Z, Wang Y, Li X, Chen H.
europepmc   +1 more source

Leednet: a lightweight network for event detection in EEG signals. [PDF]

J Adv Signal Process
Alqarni MA, Masood H, Khan HA, Kamboh AM, Shafait S, Jaffarey T, Shafait F.   +6 more
europepmc   +1 more source

Entropy difference-based EEG channel selection technique for automated detection of ADHD. [PDF]

PLoS One
Maheshwari S, Rajesh KNVPS, Kanhangad V, Acharya UR, Kumar TS.   +4 more
europepmc   +1 more source

Determination of minimum inhibitory and lethal concentrations of two lactic acid bacteria <i>Lactiplantibacillus plantarum</i> reveals strain-specific antibiotic resistance. [PDF]

MicroPubl Biol
Mendoza-Dasilva MV, Rodriguez-Rivera L, Rodriguez-Fernandez IA.   +2 more
europepmc   +1 more source

DL-GapFilling: a novel deep learning framework for improved plant genome gap filling. [PDF]

Brief Bioinform
Chen Y, Wang Z, Wang G, Wang G.
europepmc   +1 more source

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

IEEE Transactions on Biomedical Engineering, 2023
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 ...
Kabalan Chaccour, Hoda Fares, Mariam Al Mawla   +2 more
exaly   +6 more sources

Early fault diagnosis of transformer windings based on the improved MVMD-ELM

Frontiers in Energy Research
Aiming at the problems of weak early fault characteristics of transformer windings, large noise interference and insufficient accuracy of traditional diagnostic methods, this paper proposes an early fault diagnosis method for transformer windings based on improved multivariable mode decomposition and optimized Extreme Learning Machine (ELM).
Qiuyang Lin, Congwei Wang, Luyi Zhang, Fengping Zhang, Zichi Zhao, Minyi Wei, Jiaqi Liu, Cheng Li   +7 more
exaly   +3 more sources

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Seismic Random Noise Separation and Attenuation Based on MVMD and MSSA

IEEE Transactions on Geoscience and Remote Sensing, 2022
Yijie Zhang, Jinghuai Gao, Naihao Liu
exaly   +3 more sources