Showing 17,201 - 17,220 results of 26,849 for search 'evaluation computing', query time: 0.29s Refine Results
  1. 17201

    Winglet Design for Aerodynamic and Performance Optimization of UAVs via Surrogate Modeling by Eleftherios Nikolaou, Spyridon Kilimtzidis, Vassilis Kostopoulos

    Published 2025-01-01
    “…Using surrogate-based optimization (SBO) techniques, this research developed winglet geometries with varying geometric parameters such as length, cant angle, and sweep angle with their performance being evaluated through high-fidelity Computational Fluid Dynamics (CFD) simulations. …”
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  2. 17202

    Fracture resistance and mode of failure of modified Polyether-ether-ketone versus lithium disilicate endocrowns by Mohamed G. A. Kharboush, Hesham I. Othman, Mohamed F. Aldamaty, Ahmed M. L. Alameldin

    Published 2025-01-01
    “…Fracture resistance was evaluated utilizing a universal testing machine. The failure mode was evaluated by inspecting fractured surfaces using a Stereomicroscope and further examined by a Scanning Electron Microscope (SEM) amongst both groups. …”
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    A Theoretical Investigation on Chemical Bonding of the Bridged Hydride Triruthenium Cluster: [Ru3 (μ-H)( μ3-κ2-Hamphox-N,N)(CO)9] by Al-Ibadi et al.

    Published 2020-05-01
    “…The topological indices are evaluated in term of QTAIM (quantum theory of atoms in molecule). …”
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    D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine by Veena Dillshad, Muhammad Attique Khan, Muhammad Nazir, Oumaima Saidani, Nazik Alturki, Seifedine Kadry

    Published 2025-02-01
    “…Abstract In computer vision applications like surveillance and remote sensing, to mention a few, deep learning has had considerable success. …”
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  7. 17207

    An Ensemble Learning Approach for Drought Analysis and Forecasting in Central Bangladesh by Md. Alomgir Hossain, Momotaz Begum, Md. Nasim Akhtar, Md. Alamin Talukder, Nomanur Rahman, Mahfuzur Rahman

    Published 2025-01-01
    “…This data is employed to compute the standardized precipitation index (SPI), the standardized precipitation evapotranspiration index (SPEI), and the Z-score index (ZSI). …”
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    An efficient emerging network and secured hopping scheme employed over the unsecured public channels by Aamir Shahzad, Kaiwen Zhang, René Landry, Neal Xiong, Young-Gab Kim

    Published 2020-04-01
    “…Second, the hashing code is computed only for the key, and transmitted along the original hopset, but with distinct frequencies set. …”
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    Semantic Segmentation of Brain Tumors Using a Local–Global Attention Model by Shuli Xing, Zhenwei Lai, Junxiong Zhu, Wenwu He, Guojun Mao

    Published 2025-05-01
    “…However, Convolution-based models often fail to deliver precise segmentation results, while Transformer-based models often require more computational resources. To address these challenges, we propose a novel hybrid model named Local–Global UNet Transformer. …”
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  13. 17213

    Learning Airfoil Flow Field Representation via Geometric Attention Neural Field by Li Xiao, Mingjie Zhang, Xinghua Chang

    Published 2024-11-01
    “…Numerical simulation in fluid dynamics can be computationally expensive and difficult to achieve. To enhance efficiency, developing high-performance and accurate surrogate models is crucial, where deep learning shows potential. …”
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    HarmoDehazeDiffusion: Multi-Scale Spatial Fusion Network for Dense Haze Removal by Jiangjie Yu, Lina Yang, Shangqing Dai, Haoyan Yang

    Published 2025-04-01
    “…Image dehazing remains a critical yet challenging task in computer vision. While the existing dehazing methods have achieved notable progress, they still struggle to effectively eliminate dense haze in scenes while maintaining consistent illumination between dehazed regions and their surroundings. …”
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    TransBind allows precise detection of DNA-binding proteins and residues using language models and deep learning by Md Toki Tahmid, A.K.M. Mehedi Hasan, Md Shamsuzzoha Bayzid

    Published 2025-04-01
    “…By leveraging features from pre-trained protein language models, TransBind effectively handles the issue of data imbalance and achieves superior performance. Extensive evaluations using diverse experimental datasets and case studies demonstrate that TransBind significantly outperforms state-of-the-art methods in terms of both accuracy and computational efficiency. …”
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