Showing 281 - 300 results of 862 for search 'S14 (classification)', query time: 0.05s Refine Results
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    Time‐domain spectra of ultrasonic wave transmitted through granite and gypsum samples containing artificial defects by Zhuoran Tian, Chunjiang Zou, Yun Wu

    Published 2025-01-01
    “…In this study, 995,412 NDT data from 14 types of granite and gypsum samples with different cross‐section shapes and different types of defects are recorded by an ultrasonic wave generation and collection system. …”
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  5. 285

    Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

    Published 2025-02-01
    “…Our diagnostic cutoff points for each index were as follows: SMA (-1.0: 152.55, -2.0: 125.89), SMA/height² (-1.0: 38.84, -2.0: 14.50), SMA/weight (-1.0: 2.14, -2.0: 1.89), and SMA/BMI (-1.0: 6.10, -2.0: 5.18) for men; SMA (-1.0: 96.08, -2.0: 76.96), SMA/height² (-1.0: 37.20, -2.0: 29.36), SMA/weight (-1.0: 1.80, -2.0: 1.61), and SMA/BMI (-1.0: 4.56, -2.0: 4.01) for women. …”
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    Assessing the impact of drought on Zlatar Lake area changes using Random Forest with Sentinel-1 SAR and Sentinel-2 multispectral data by Nikolić Ratko R.

    Published 2024-01-01
    “…Key indices, including the VV/VH ratio, Normalized Difference Polarization Index (NDPI), and various spectral water indices (NDWI, MNDWI, SWI, NDVI), were used to enhance classification results. The study achieved high overall accuracy (OA) and Kappa values in classifying individual scenes, with Sentinel-1 reaching an OA of 96.47% and a Kappa coefficient of 92.71, while Sentinel-2 showed an OA of 99.14% and a Kappa coefficient of 98.20. …”
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    The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

    Published 2023-12-01
    “…This data was obtained from the UCI website's data warehouse and encompasses 14 distinct variables. The three models, namely "k-means, support vector machine, and neural network," are extensively used classification methods in the domains of data mining and machine learning. …”
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    Video Laryngoscopy for Endotracheal Intubation: A Consideration for Manual In-Line Stabilization Without Cervical Collar Versus Full Immobilization by Aramvanitch K, Leela-Amornsin S, Tienpratarn W, Nuanprom P, Aussavanodom S, Yuksen C, Boonsri S, Boonjarus N, Sanepim S

    Published 2025-01-01
    “…Time required to perform successful intubation (median [IQR] 17.20 [12.53, 24.40] vs 17.53 [14.06, 23.73], p-value 0.694) and Cormack-Lehane classification (11 [39.29%] vs 10 [35.71%] in grade I; 16 [57.14%] vs 17 [60.71%] in grade II; 1 [3.57%] vs 1 [3.57%] in grade III, p-value 1.000) showed no statistical difference between the two groups.Conclusion: It is unnecessary to remove the cervical hard collar when performing endotracheal intubation while using a video laryngoscope.Keywords: video laryngoscope, full immobilization, success rate, endotracheal intubation…”
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    Supercritical Fluid Chromatography of Drugs: Parallel Factor Analysis for Column Testing in a Wide Range of Operational Conditions by Ramia Z. Al Bakain, Yahya Al-Degs, Bertyl Andri, Didier Thiébaut, Jérôme Vial, Isabelle Rivals

    Published 2017-01-01
    “…Design of Experiment was used to optimize experiments involving 14 pharmaceutical compounds present in biological and/or environmental samples and with dissimilar physicochemical properties. …”
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