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Showing 1 - 16 results of 16 for search '"algorithm achieves"', query time: 0.04s Refine Results
  1. 1
    An effective design system for dynamically reconfigurable architectures

    An effective design system for dynamically reconfigurable architectures by Ouaiss, I.

    Published 2017
    “…The results, obtained on a commercial RC architecture, show that the multiply-reconfigured version of the JPEG compression algorithm achieves reasonable improvement in execution times compared to the one-time configured version.…”
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  2. 2
    On end-to-end scheduling in wireless cellular networks

    On end-to-end scheduling in wireless cellular networks by Saad, Walid

    Published 2008
    “…By jointly considering the time varying channel conditions in both uplink and downlink directions, the proposed end-to-end scheduling algorithm achieves an increased number of active connections and a lower packet drop in comparison to other schemes. …”
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  3. 3
    Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks

    Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks by Abu-Khzam, Faisal N.

    Published 2018
    “…We present a first distributed approximation algorithm for this problem. The algorithm achieves a constant approximation ratio if the ratio of the maximum transmission range over the minimum transmission range in the network is bounded and takes O(Diam) rounds, where Diam is the diameter of the graph. …”
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  4. 4
    Nested ensemble selection: An effective hybrid feature selection method

    Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

    Published 2023
    “…Numerical experiments on synthetic and real-life data demonstrate the effectiveness of the proposed method. The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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  5. 5
    Learning-Based Space-Time Adaptive Processing

    Learning-Based Space-Time Adaptive Processing by El Khatib, Alaa

    Published 2013
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  6. 6
    Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning

    Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning by Amer, Hala Nagi

    Published 2024
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  7. 7
    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST – IT Ramadan study)

    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... by Tarik Elhadd (5480393)

    Published 2020
    “…</p><h3>Conclusion</h3><p dir="ltr">XGBoost, a machine learning AI algorithm achieves high predictive performance for normal and hyperglycaemic excursions, but has limited predictive value for hypoglycaemia in patients on multiple therapies who fast during Ramadan.…”
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  8. 8
    FPGA-Based Network Traffic Classification Using Machine Learning

    FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

    Published 2020
    “…The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …”
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  9. 9
    Anomaly Detection Based Framework for Profile Monitoring

    Anomaly Detection Based Framework for Profile Monitoring by Al-Rahim, Nour Al-Huda Z. Al-Abed

    Published 2023
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  10. 10
    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks

    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks by Abbas, Nadine

    Published 2018
    “…We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity.…”
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  11. 11
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  12. 12
    Boosting the visibility of services in microservice architecture

    Boosting the visibility of services in microservice architecture by Ahmet Vedat Tokmak (17773479)

    Published 2023
    “…Experimental results demonstrated that the CatBoost algorithm achieved the highest level of accuracy (90.42%) in predicting microservice quality.…”
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  13. 13
    Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation

    Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

    Published 2024
    “…Features from MRI images are extracted using 3-D-CNN and fed into the wavelet KRR-RVFL network for brain age classification and prediction. The proposed algorithm achieved high classification accuracy, 97.22%, 99.31%, and 95.83% for GM, WM, and CSF regions, respectively. …”
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  14. 14
    FPGA-Based Network Traffic Classification Using Machine Learning

    FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

    Published 2019
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  15. 15
    On the Optimization of Band Gaps in Periodic Waveguides

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
    “…</p><h3 dir="ltr">Results</h3><p dir="ltr">In the first example, all algorithms achieved similar optimal solutions in the two optimization scenarios, with differences arising primarily in computational efficiency. …”
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  16. 16
    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins

    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

    Published 2025
    “…ResultMost traditional machine learning algorithms achieved distinction accuracies of over 99 percent, whereas DeepRaman demonstrated an exceptional accuracy of 100 percent. …”
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