Showing 1,181 - 1,200 results of 28,660 for search 'Classification three', query time: 0.29s Refine Results
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    Gas Sensing with Nanoporous In<sub>2</sub>O<sub>3</sub> under Cyclic Optical Activation: Machine Learning-Aided Classification of H<sub>2</sub> and H<sub>2</sub>O by Dominik Baier, Alexander Krüger, Thorsten Wagner, Michael Tiemann, Christian Weinberger

    Published 2024-09-01
    “…While semiconducting metal oxides such as In<sub>2</sub>O<sub>3</sub> can monitor gas concentrations down to the ppm range, they often exhibit cross-sensitivity to other gases like H<sub>2</sub>O. …”
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    Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

    Published 2024-10-01
    “…The probability of an unfavorable outcome based on the constructed classification tree was higher than the average in the analyzed sample in persons without CS, 2-3 degree atrioventricular blocks, and pulmonary edema, but with right bundle branch block on the electrocardiogram (25.0%) and in persons without CS and atrioventricular blockages of 2-3 degrees, but with pulmonary edema and a Q wave on the electrocardiogram (50.0%). …”
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    A Neural-Network-Based Approach to White Blood Cell Classification by Mu-Chun Su, Chun-Yen Cheng, Pa-Chun Wang

    Published 2014-01-01
    “…This paper presents a new white blood cell classification system for the recognition of five types of white blood cells. …”
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    Research on laser point cloud classification based on Light-BotNet by Lei Genhua, Wang Lei, Zhang Zhiyong

    Published 2022-06-01
    “…Three dimensional point clouds are widely used in robots and automatic driving. …”
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    Odor classification: Exploring feature performance and imbalanced data learning techniques. by Durgesh Ameta, Surendra Kumar, Rishav Mishra, Laxmidhar Behera, Aniruddha Chakraborty, Tushar Sandhan

    Published 2025-01-01
    “…We also report the predictive performance of multimodal features obtained by fusing the three mentioned features. This comprehensive and systematic study compares the predictive performance for odor classification of different features and utilises a multifaceted approach to deal with data imbalance. …”
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