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يعرض 161 - 180 نتائج من 1,110 نتيجة بحث عن '(( significant model based ) OR ( significant ((new decrease) OR (we decrease)) ))', وقت الاستعلام: 0.15s تنقيح النتائج
  1. 161
  2. 162

    Learning Feedforward Control Of MIMO Nonlinear Systems Using U-Model حسب Azhar, ASS

    منشور في 2020
    "…U-model significantly simplifies the online synthesis of the feedforward control law. …"
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  3. 163

    Learning Feedforward Control Of MIMO Nonlinear Systems Using U-Model حسب Azhar, ASS

    منشور في 2020
    "…U-model significantly simplifies the online synthesis of the feedforward control law. …"
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    article
  4. 164

    Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

    منشور في 2024
    "…Our analysis reveals that LLMs significantly enhance code completion performance across several programming languages and contexts, and their capability to predict relevant code snippets based on context and partial input boosts developer productivity substantially.…"
  5. 165
  6. 166

    Study on adaptive thermal comfort model and behavioral adaptation in naturally ventilated residential buildings, Jimma Town, Ethiopia حسب Chali, Yadeta

    منشور في 2023
    "…The mean comfort temperature was 23.3˚C ± 3.44 based on all data. Our adaptive model predicted a 1.82 K perturbation in outdoor running mean temperature, resulting in a unit change in indoor comfort temperature. …"
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  7. 167

    Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation حسب Shanableh, Tamer

    منشور في 2026
    "…In this work, we propose Binary-NeRV, a hybrid-precision extension of NeRV that integrates XNOR-based binary convolutions into the decoding pipeline to significantly reduce model size, bitrate, and computational complexity while reasonably preserving reconstruction fidelity. …"
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  8. 168

    Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment حسب Akhtar, Muhammad Hannan

    منشور في 2025
    "…The best quantized model, produced through Post-Training Quantization, was able to maintain a classification accuracy of 77.8% while significantly reducing the model size from 33 MB to 9.6 MB. …"
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  9. 169
  10. 170
  11. 171

    Unleashing the pandemic volatility: A glimpse into the stock market performance of developed economies during COVID-19 حسب Umar Nawaz Kayani (17131781)

    منشور في 2024
    "…In addition to this, it can be noted that compared to before COVID-19, the stock markets showed negative returns, and increased volatility during the COVID-19. Hence, based on these findings, this study provides significant insights for global stock market investors and economic policymakers regarding financial portfolio construction particularly during crises times.…"
  12. 172
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  14. 174

    Pre-Service Teachers’ Perspectives on Their Preparedness to Use Technology in Classrooms in the United Arab Emirates: A Qualitative Approach حسب Mohebi, Laila

    منشور في 2019
    "…In addition, the study is based on the Technological Pedagogical and Content Knowledge (TPACK) model as a framework to assess and reflect on the technology integration skills of pre-service teachers. …"
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  15. 175

    A frontier‐based managerial approach for relative sustainability performance assessment of the world's airports حسب Murat Kucukvar (11190248)

    منشور في 2023
    "…As the sustainability goals and objectives and due to its multi-dimension aspects that are needed to be decided of and subsequently improved, the decision has been taken, and the parameters have been selected due to its significance in this field. This research presents a managerial approach combining the optimization-based frontier approach with the Global Report Initiative's comprehensive sustainability database for selected 30 major international airports based on data availability. …"
  16. 176
  17. 177

    Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? حسب Ahmed Soliman (4591621)

    منشور في 2024
    "…In this paper, we evaluated the performance of four types of deep models for stroke segmentation: 1) a pure Transformer-based architecture (DAE-Former), 2) two advanced CNN-based models (LKA and DLKA) with attention mechanisms, 3) a hybrid model that incorporates CNNs with Transformers (FCT), and 4) the well-known self-adaptive nnU-Net framework. …"
  18. 178

    Two Analytical Models (with Infinite Buffer) for Evaluating Performance of Gigabit Ethernet Hosts حسب Salah, Khaled

    منشور في 2006
    "…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …"
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  19. 179

    Two Analytical Models for Evaluating Performance of Gigabit Ethernet Hosts with Finite Buffer حسب Salah, Khaled

    منشور في 2006
    "…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …"
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  20. 180