Suchergebnisse - "adaptive boosting algorithm"

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  1. 1

    A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training von Liu, Ye, Zhang, Hao, Chen, Min, Zhang, Liqing

    ISSN: 1534-4320, 1558-0210, 1558-0210
    Veröffentlicht: United States IEEE 01.01.2016
    “… Studies have shown that a motor imagery electro encephalogram (EEG)-based brain-computer interface (BCI) system can be used as a rehabilitation tool for stroke …”
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    Journal Article
  2. 2

    ADAPTIVE ALGORITHMS OF FACE DETECTION AND EFFECTIVENESS ASSESSMENT OF THEIR USE von Dergachov, Kostiantyn, Krasnov, Leonid, Cheliadin, Oleksandr, Zymovin, Anatoliy

    ISSN: 2522-9052
    Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" 28.11.2018
    “… Subject of research is the detection and recognition of faces. The purpose of this work is creation of modified algorithms of face detection …”
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    Journal Article
  3. 3

    Variational Mode Decomposition Based Mental Task Classification from Electroencephalogram von Saini, Manali, Satija, Udit, Upadhayay, Madhur Deo

    ISSN: 2325-9418
    Veröffentlicht: IEEE 10.12.2020
    Veröffentlicht in Annual IEEE India Conference (10.12.2020)
    “… ; computation of proposed variational mode energy ratio; classification using adaptive boosting algorithm …”
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    Tagungsbericht
  4. 4

    Spatial-Spectral Boosting Analysis for Stroke Patients' Motor Imagery EEG in Rehabilitation Training von Zhang, Hao, Zhang, Liqing

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 23.10.2013
    Veröffentlicht in arXiv.org (23.10.2013)
    “… In this study, we propose an adaptive boosting algorithm based on the cortex plasticity and spectral band shifts …”
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    Paper
  5. 5

    Ensemble modeling for predicting head vibration based on driving seating conditions: Towards adaptive seating systems von Singh, Amandeep, Nawayseh, Naser, Rakheja, Subhash

    ISSN: 0952-1976
    Veröffentlicht: Elsevier Ltd 01.04.2025
    Veröffentlicht in Engineering applications of artificial intelligence (01.04.2025)
    “… ). We employed Random Forest, Bagging, Gradient Boosting, and Adaptive Boosting algorithms to predict tri …”
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    Journal Article
  6. 6

    Eye movement sequence analysis using electrooculogram to assist autistic children von Banerjee, Anwesha, Pal, Monalisa, Datta, Shreyasi, Tibarewala, D.N., Konar, Amit

    ISSN: 1746-8094
    Veröffentlicht: Elsevier Ltd 01.11.2014
    Veröffentlicht in Biomedical signal processing and control (01.11.2014)
    “… •Mean tracking accuracy rises from 78.64% to 90.96% in 5 days for healthy subjects.•Mean staring errors decrease from 6.36% to 1.29 …”
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    Journal Article