Showing 18,401 - 18,420 results of 26,849 for search 'evaluation computing', query time: 0.28s Refine Results
  1. 18401

    Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

    Published 2025-01-01
    “…However, these algorithms can be computationally inefficient in large-scale or real-time environments. …”
    Get full text
    Article
  2. 18402

    Aerosol Particles Generated by Coughing and Sneezing of a SARS-CoV-2 (COVID-19) Host Travel over 30 m Distance by Boris Gorbunov

    Published 2020-12-01
    “…Abstract A fast-computational 3D model comprising fluid dynamics with heat transfer, mass transfer and diffusion of diluted species has been adapted and employed to evaluate dispersion of aerosol particles in various environments. …”
    Get full text
    Article
  3. 18403

    Design and Implementation of a Tube Heat Exchanger for Turbojet Engines to Improve Operational Efficiency by Dung Nghia Hoang, Dung Ngoc Pham, Huy Quoc Nghiem, Anh Mai Thi Bui

    Published 2025-01-01
    “…Finally, a new heat exchanger design was fabricated and tested to evaluate its efficiency under real-world operating conditions.…”
    Get full text
    Article
  4. 18404
  5. 18405

    MixtureRS: A Mixture of Expert Network Based Remote Sensing Land Classification by Yimei Liu, Changyuan Wu, Minglei Guan, Jingzhe Wang

    Published 2025-07-01
    “…Evaluated on a 15-class urban benchmark, MixtureRS achieves an overall accuracy of 88.6%, an average accuracy of 90.2%, and a Kappa coefficient of 0.877, outperforming the best homogeneous transformer by over 12 percentage points. …”
    Get full text
    Article
  6. 18406

    Damage and Failure Modeling of Composite Material Structures Using the Pam-Crash Code by Eduardo Martin-Santos, Lucia G. Barbu, Pablo Cruz

    Published 2024-12-01
    “…Good correlations with experimental data are obtained in fast computational times, making this methodology a candidate for application in composite-related automotive simulations.…”
    Get full text
    Article
  7. 18407

    Ghost-Attention-YOLOv8: Enhancing Rice Leaf Disease Detection with Lightweight Feature Extraction and Advanced Attention Mechanisms by Thanh Dang Bui, Tra My Do Le

    Published 2025-03-01
    “…The resulting Ghost-Attention-YOLOv8 model was evaluated on the Rice Leaf Disease dataset to assess its efficacy in identifying and classifying various diseases. …”
    Get full text
    Article
  8. 18408

    A U-Shaped Architecture Based on Hybrid CNN and Mamba for Medical Image Segmentation by Xiaoxuan Ma, Yingao Du, Dong Sui

    Published 2025-07-01
    “…Although U-shaped CNNs and Transformer-based architectures have shown promise, CNNs struggle to capture long-range dependencies, whereas Transformers suffer from quadratic growth in computational cost as image resolution increases. To address these issues, we propose HCMUNet, a novel medical image segmentation model that innovatively combines the local feature extraction capabilities of CNNs with the efficient long-range dependency modeling of Mamba, enhancing feature representation while reducing computational cost. …”
    Get full text
    Article
  9. 18409

    Time-Series Prediction of Failures in an Industrial Assembly Line Using Artificial Learning by Mert Can Sen, Mahmut Alkan

    Published 2025-05-01
    “…This study evaluates the efficacy of six artificial learning (AL) models—nonlinear autoregressive (NAR), long short-term memory (LSTM), adaptive neuro-fuzzy inference system (ANFIS), gated recurrent unit (GRU), multilayer perceptron (MLP), and CNN-RNN hybrid networks—for time-series data for failure prediction in aerospace assembly lines. …”
    Get full text
    Article
  10. 18410

    Optimisation of hardware setups for time-efficient HEC-RAS simulations by Ramtin Sabeti, Thomas Rodding Kjeldsen, Ioanna Stamataki, Babak Rahi

    Published 2024-01-01
    “…This result questions the usual assumptions about the need for greater computational power and emphasises the value of carefully optimising hardware for fast hydraulic modelling.…”
    Get full text
    Article
  11. 18411

    Wideband Cooperative Localization Through Generalized Cross-Correlation by Andreas Fuchs, Lukas Wielandner, Klaus Witrisal

    Published 2024-01-01
    “…Alternatively, the algorithm uses a computationally efficient method based on perceptual hashing, a signal compression algorithm adapted from image-processing, which gives a distance-dependent metric between nodes. …”
    Get full text
    Article
  12. 18412

    Comparative CFD case study on forced convection: Analysis of constant vs variable air properties in channel flow by Jassim Ahmed Hikmet, Salih Salah M., Ali Kadhum Hassan

    Published 2025-03-01
    “…HT rates are computed for Reynolds numbers (Re ≤ 2,000) and Prandtl number (Pr = 0.713). …”
    Get full text
    Article
  13. 18413

    Combining the A* Algorithm with Neural Networks to Solve the Team Orienteering Problem with Obstacles and Environmental Factors by Alfons Freixes, Javier Panadero, Angel A. Juan, Carles Serrat

    Published 2025-05-01
    “…Numerical experiments evaluate the impact of various parameters, including obstacle placement, UAV speed, wind conditions, and payload weight. …”
    Get full text
    Article
  14. 18414

    Reproducing morphological features of intervertebral disc using finite element modeling to predict the course of cervical spine dorsopathy by Evgeny V. Yakovlev, Artur L. Ovsepyan, Alexander A. Smirnov, Anna A. Safronova, Dmitry A. Starchik, Sergey A. Zhivolupov, Dmitry E. Mokhov, Ekaterina S. Mokhova, Yuriy L. Vasil’ev, Sergey S. Dydykin

    Published 2022-03-01
    “…Study objective — To evaluate how morphological features of intervertebral disc would affect the outcomes of finite element modeling of axial load in the cervical spine, C3-C5, in order to predict the risk of occurrence and course of dorsopathies. …”
    Get full text
    Article
  15. 18415

    Mapping Complex Landslide Scars Using Deep Learning and High-Resolution Topographic Derivatives from LiDAR Data in Quebec, Canada by Hejar Shahabi, Saeid Homayouni, Didier Perret, Bernard Giroux

    Published 2024-12-01
    “…This suggests hillshade and slope provide the most relevant information and reduce computational complexity. Overall, the findings enhance our understanding of HRDEM derivatives and emphasize the importance of feature selection in optimizing model performance and reducing computational complexity.…”
    Get full text
    Article
  16. 18416
  17. 18417
  18. 18418
  19. 18419
  20. 18420