Showing 1,441 - 1,460 results of 21,428 for search '"computer"', query time: 0.43s Refine Results
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    Computer-Assisted Optimization of the Acetabular Rotation in Periacetabular Osteotomy Using Patient’s Anatomy-Specific Finite Element Analysis by Sung-Jae Park, Sung-Jae Lee, Wen-Ming Chen, Jung-Hong Park, Yong-Soo Cho, Taejin Shin, Soon-Yong Kwon

    Published 2018-01-01
    “…Periacetabular osteotomy (PAO) is a complex surgical procedure to restore acetabular coverage in the dysplastic hip, and the amount of acetabular rotation during PAO plays a key role. Using computational simulations, this study assessed the optimal direction and amount of the acetabular rotation in three dimensions for a patient undergoing PAO. …”
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    Computer-Based Clinical Examination (CCE) in Surgery: Would It Complement or Replace the OSCE in the Post-COVID-19 Era? by Gamal E H A El Shallaly, Mudather M Bafadni, Hozifa M A Abdelmaged, Maysa H A Hamza

    Published 2023-09-01
    “…Our objectives were: (1) To develop a computer-based clinical exam (CCE) and identify its characteristics (2) To assess its acceptability of the students. …”
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    Community perspectives regarding brain-computer interfaces: A cross-sectional study of community-dwelling adults in the UK. by Austen El-Osta, Mahmoud Al Ammouri, Shujhat Khan, Sami Altalib, Manisha Karki, Eva Riboli-Sasco, Azeem Majeed

    Published 2025-02-01
    “…<h4>Background</h4>Brain-computer interfaces (BCIs) represent a ground-breaking advancement in neuroscience, facilitating direct communication between the brain and external devices. …”
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    Understanding the log file data from educational and psychological computer-based testing: A scoping review protocol. by Guanyu Chen, Yan Liu, Yue Mao

    Published 2024-01-01
    “…With the advancement of computer-based testing, log file data has drawn considerable attention from researchers. …”
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  13. 1453

    Assessment of Computational Technicalities for 2D/1D Coupling Method and Its Comparison with 3D MOC by Boran Kong, Han Zhang, Qinrong Dou, Zhaoyuan Liu, Chen Hao, Jiong Guo, Fu Li

    Published 2024-01-01
    “…For the transverse leakage, the Fourier expansion technique could significantly reduce the memory burden and computational cost, but with the similar accuracy as the anisotropic leakage term. …”
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  14. 1454

    Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models by Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo

    Published 2017-01-01
    “…In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. To overcome these limitations, we propose a method to assess RMSE for autoregressive (AR) stochastic processes. …”
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    Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

    Published 2025-02-01
    “…Abstract To develop a deep learning model using transfer learning for automatic detection and segmentation of neck lymph nodes (LNs) in computed tomography (CT) images, the study included 11,013 annotated LNs with a short-axis diameter ≥ 3 mm from 626 head and neck cancer patients across four hospitals. …”
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  16. 1456

    A New Countermeasure against Brute-Force Attacks That Use High Performance Computers for Big Data Analysis by Hyun-Ju Jo, Ji Won Yoon

    Published 2015-06-01
    “…Using high performance parallel and distributed computing systems, we can collect, generate, handle, and transmit ever-increasing amounts of data. …”
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    Identification and Endodontic Management of Middle Mesial Canal in Mandibular Second Molar Using Cone Beam Computed Tomography by Bonny Paul, Kavita Dube

    Published 2015-01-01
    “…This case report presents the use of three-dimensional imaging with cone beam computed tomography (CBCT) as an adjunct to digital radiography in identification and management of mandibular second molar with three mesial canals.…”
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