Showing 1,521 - 1,540 results of 8,656 for search 'application (errors OR error)', query time: 0.18s Refine Results
  1. 1521

    The applicability of King-Devick test in early detection of cognitive impairments due to induced hypoxia in military pilots by S Ehteshami, A Nezami Asl, A Khademi, R Eslami, S Riahi, HR Mohsenzadeh

    Published 2018-04-01
    “…Other factors like age, weight, and flight time did not show significant impact on K-D time and number of errors.…”
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    Article
  2. 1522

    Using an Electronic Goniometer to Assess the Influence of Single-Application Kinesiology Taping on Unstable Shoulder Proprioception and Function by Ewa Bręborowicz, Izabela Olczak, Przemysław Lubiatowski, Piotr Ogrodowicz, Marta Ślęzak, Maciej Bręborowicz, Leszek Romanowski

    Published 2025-04-01
    “…However, the analyzed KT application did not show a significant change in the magnitude of the active joint position reproduction error. …”
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    Article
  3. 1523
  4. 1524

    Application of a Hybrid of the Different Transform Method and Adomian Decomposition Method Algorithms to Solve the Troesch Problem by Mariusz Pleszczyński, Konrad Kaczmarek, Damian Słota

    Published 2024-12-01
    “…The great advantages of the DTM method are the continuous form of the solution and the fact that it easy to implement error control. However, in too-complex tasks, this method becomes difficult to use. …”
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  10. 1530

    Application Of Passage Plan To Avoid Ship Aground In Barito River: Case Study On Km. Fleet Fresh by Septria Kumoro Jati, Iskandar, Indah Nurhidayati

    Published 2025-05-01
    “…Ship incidents are often caused by external factors such as weather and track conditions, as well as human error in the operation of the ship. The passage plan is the most common strategy that aims to direct ships from one location to another safely, quickly, and efficiently. …”
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  11. 1531

    Fractional Order Accumulation NGM (1, 1, k) Model with Optimized Background Value and Its Application by Jun Zhang, Yanping Qin, Xinyu Zhang, Bing Wang, Dongxue Su, Huaqiong Duo

    Published 2021-01-01
    “…Taking the minimum mean absolute percentage error as the objective function, the model is improved from the two perspectives of the construction method of the background value and the fractional order accumulation generation. …”
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  12. 1532

    Optimising 3D-printed flexible lattice structures for morphing applications by linking rheology to mechanical behaviour by Laia Farràs-Tasias, Max Vermeerbergen, Francisco A. Gilabert, Ludwig Cardon, Flavio H. Marchesini

    Published 2025-12-01
    “…The experimental results show an enhancement of the mechanical properties tailored for the morphing application. This research not only provides a specific application optimisation but a universal methodology for optimising and linking rheology and material properties in other applications.…”
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  13. 1533

    Capturing pharmacists’ perspectives on the value, risks, and applications of ChatGPT in pharmacy practice: A qualitative study by Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Ghala Rashid Alnuaimi, Nihal Ibrahim, Ammar Ali Saleh Jaber

    Published 2024-12-01
    “…Results: Most participants felt ChatGPT could enhance the compliance, use, management, safety, adherence to medication, medication counseling, minimize medication errors, and streamline medication dispensing. However, when Chat-GPT has limited information and relies on obsolete medication databases, it risks providing inaccurate recommendations and inadequate medication details. …”
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  16. 1536

    Drone Attitude and Position Prediction via Stacked Hybrid Deep Learning Model for Massive MIMO Applications by Abdullah Al-Ahmadi

    Published 2024-01-01
    “…This paper presents a novel stacked hybrid deep learning model for real-time prediction of drone attitude and position, specifically designed to support applications in massive Multiple-Input Multiple-Output (MIMO) systems. …”
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  17. 1537
  18. 1538

    Accelerating charge estimation in molecular dynamics simulations using physics-informed neural networks: corrosion applications by Aditya Venkatraman, Mark A. Wilson, David Montes de Oca Zapiain

    Published 2025-02-01
    “…The atomic charges predicted by the deep learning model trained on this work were obtained two orders of magnitude faster than those from molecular dynamics (MD) simulations, with an error of less than 3% compared to the MD-obtained charges, even in extrapolative scenarios, while adhering to physical constraints. …”
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