Search Results - S9 (classification)

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    Modelling of an inexpensive 9M satellite dish from 3D point clouds captured by terrestrial laser scanners by Belton, David, Gibson, Aaron, Stansby, Bruce, Tingay, Steven, Bae, Kwang-ho

    Published 2011
    “…In this case, the dish was an inexpensive 9m parabolic satellite dish with a mesh surface, and was to be utilised in radio astronomy. …”
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    Hybrid pre-classification technique – artificial neural network for lightning severity classification by Omar, Muhammad Azhar

    Published 2014
    “…This thesis is presents the classification of lightning severity from meteorology characteristic using the computational intelligence; the Artificial Neural Network (ANN). …”
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    Classification of interventions in traditional Chinese medicine by Hongyong, Deng, Adams, Clive E., Shokraneh, Farhad, Shanghua, Liang

    Published 2018
    “…Objective To describe the key systems used for Traditional Chinese Medicine (TCM) classification. Methods The TCM classifications used in the International Classification of Diseases-9 Clinical Modification (ICD-9-CM) volume 3, the ICD-10 Procedure Coding System, the International Classification of Health Interventions, and the Medical Subject Headings (MeSH) and Chinese Traditional Medicine and Materia Medica Subject Headings (TCMeSH) thesauruses were compared regarding descriptive terms, structure, and features of TCM interventions. …”
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    Classification of motor imaginary tasks using adaptive recursive bandpass filter - Effective classification for motor imaginary BCI by Vickneswaran, Jeyabalan, Andrews, Samraj, Loo Chu, Kiong

    Published 2008
    “…The best results were found in the latency range of 3 to 9 seconds of the imagination and this proves the existing neuro-science knowledge. …”
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    Risk Classification and Automobile Insurance Premiums – A study on the Perceptions of Cypriot Policyholders on the Fairness of Automobile Risk Classification Variables by Zachariadou, Antonia

    Published 2010
    “…Almost half of the respondents chose age as the classification variable they considered that should be of highest importance and 31.9% of the respondents chose marital status as the one that they believed should be of least importance in setting automobile insurance premiums. …”
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