Showing 21,161 - 21,180 results of 21,428 for search '"computational"', query time: 0.08s Refine Results
  1. 21161

    Predicting the Degree of Coronary Artery Stenosis Through Retinal Vascular Characteristics and Minimal Clinical Information by Zhang G, Ding Y, Ma T, Zhou S, Wang B, Chang X, Zeng Y

    Published 2025-02-01
    “…Fundus images were obtained via non-dilated fundus photography, and retinal arteriovenous diameters, arteriovenous ratios, curvatures, and dimensions were subsequently measured automatically using a computer program.Results: Pearson’s correlation coefficients between the Gensini Score and fundus vascular characteristics were found to be as follows: The diameters of the superior temporal artery (− 0.08), The diameters of the superior temporal vein (− 0.03), the arteriovenous diameter ratio (− 0.10), the retinal arterial dimension (− 0.09), the retinal vein dimension (− 0.06), the retinal arterial curvature (− 0.06), the retinal vein curvature (− 0.01). …”
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  2. 21162
  3. 21163

    Sistem Object Tracking pada Quadcopter Menggunakan Segmentasi Citra dengan Deteksi Warna HSV dan Metode Regresi Linier Berbasis Raspberry Pi by Fahmi Erza, Hurriyatul Fitriyah, Eko Setiawan

    Published 2022-12-01
    “…The accuracy of pitch motion prediction is 84%, yaw motion prediction is 94%, and up/down motion prediction is 91.5%. The computation time is 0.175829662 seconds per frame. …”
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  4. 21164
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  14. 21174

    Outcomes of Open Reduction and Modified McLaughlin’s Procedure in Neglected Posterior Shoulder Dislocation by Vikas, Jatin Prakash, Karan Maggo, Jujhar Singh, Ankesh Jain, Naval Bhatia

    Published 2023-07-01
    “…Accurate diagnosis requires a high index of suspicion and comprehensive evaluation, including radiographic imaging and additional modalities such as computed tomography (CT) scans and magnetic resonance imaging (MRI). …”
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  15. 21175
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  17. 21177

    Sistem Pendeteksi Sleep-Disordered Breathing Berdasarkan High dan Low Frequency Menggunakan Metode Naïve Bayes by Achmad Ghifari, Edita Rosana Widasari

    Published 2023-08-01
    “…This system has an accuracy of 85% in classifying SDB using the Naive Bayes method with an average computation time of 12ms. This system can be used at home because it is portable and the data can be directly downloaded from the website for doctor evaluation, making the patient feel more comfortable and efficient in early diagnosis. …”
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