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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

300 related items for PubMed ID: 34914761

  • 1. Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier.
    May Z, Alam MK, Nayan NA, Rahman NAA, Mahmud MS.
    PLoS One; 2021; 16(12):e0261040. PubMed ID: 34914761
    [Abstract] [Full Text] [Related]

  • 2. A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals.
    Ferrando Chacón JL, Fernández de Barrena T, García A, Sáez de Buruaga M, Badiola X, Vicente J.
    Sensors (Basel); 2021 Sep 06; 21(17):. PubMed ID: 34502874
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  • 3. Information theory filters for wavelet packet coefficient selection with application to corrosion type identification from acoustic emission signals.
    Van Dijck G, Van Hulle MM.
    Sensors (Basel); 2011 Sep 06; 11(6):5695-715. PubMed ID: 22163921
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  • 4. Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification.
    Hariharan M, Sindhu R, Vijean V, Yazid H, Nadarajaw T, Yaacob S, Polat K.
    Comput Methods Programs Biomed; 2018 Mar 06; 155():39-51. PubMed ID: 29512503
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  • 5. Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier.
    Al-Salman W, Li Y, Wen P.
    Neurosci Res; 2021 Nov 06; 172():26-40. PubMed ID: 33965451
    [Abstract] [Full Text] [Related]

  • 6. Classification of spot-welded joint strength using ultrasonic signal time-frequency features and PSO-SVM method.
    Wang X, Guan S, Hua L, Wang B, He X.
    Ultrasonics; 2019 Jan 06; 91():161-169. PubMed ID: 30146324
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  • 7. A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
    Chaudhary S, Taran S, Bajaj V, Siuly S.
    Comput Methods Programs Biomed; 2020 Apr 06; 187():105325. PubMed ID: 31964514
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  • 13. Detection of driver drowsiness using wavelet analysis of heart rate variability and a support vector machine classifier.
    Li G, Chung WY.
    Sensors (Basel); 2013 Dec 02; 13(12):16494-511. PubMed ID: 24316564
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  • 14. Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal.
    B VP, Chinara S.
    J Neurosci Methods; 2021 Jan 01; 347():108927. PubMed ID: 32941920
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  • 15. Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection.
    Tian X, Deng Z, Ying W, Choi KS, Wu D, Qin B, Wang J, Shen H, Wang S.
    IEEE Trans Neural Syst Rehabil Eng; 2019 Oct 01; 27(10):1962-1972. PubMed ID: 31514144
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  • 16. Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.
    Chen H, Yuan X, Li J, Pei Z, Zheng X.
    Comput Methods Programs Biomed; 2019 Sep 01; 178():163-173. PubMed ID: 31416545
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