يعرض 1 - 20 نتائج من 34 نتيجة بحث عن '(( element jaya algorithm ) OR ((( current boosting algorithm ) OR ( level coding algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 1

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

    منشور في 2023
    "…Our research also analyzed the boosting algorithms, namely Gradient Boost, XGBoost, LightGBM, and CatBoost to improve the overall performance. …"
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    Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

    منشور في 2024
    "…This SLR study categorizes the granularity levels of code completion achieved by utilizing LLMs in IDEs, explores the existing issues in current code completion systems, how LLMs address these challenges, and the pre-training and fine-tuning methods employed. …"
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    A Survey of cuckoo search algorithm: optimizer and new applications حسب Abualigah, Laith

    منشور في 2024
    "…The proposed search technique is compared with the existing standard optimization algorithms. The current CS computations are merged with Lévy flight and it was the first time used to solve nonlinear benchmark challenges.…"
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    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

    منشور في 2006
    "…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …"
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    article
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    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter حسب Syed Rahman (569240)

    منشور في 2019
    "…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"
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    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars حسب Abathar Al-Hamrani (16494884)

    منشور في 2023
    "…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…"
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    Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

    منشور في 2024
    "…First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …"
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    Performance Prediction Using Classification حسب MOOLIYIL, GITA

    منشور في 2019
    "…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …"
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    Efficient Seismic Volume Compression using the Lifting Scheme حسب Khene, M. F.

    منشور في 2000
    "…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…"
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    article
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    Downlink channel estimation for IMT-DS حسب Faisal, S.

    منشور في 2001
    "…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …"
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    article
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    Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review حسب Ruba, Sulaiman

    منشور في 2025
    "…Most of the included studies focused on mortality prediction, utilizing datasets of varying sizes and diverse ML algorithms. The most employed ML algorithms were random forest, logistics regression, and gradient boosting. …"
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    article
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    Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review حسب Ruba Sulaiman (17734065)

    منشور في 2025
    "…Most of the included studies focused on mortality prediction, utilizing datasets of varying sizes and diverse ML algorithms. The most employed ML algorithms were random forest, logistics regression, and gradient boosting. …"
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    MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection حسب Sui Paul Ang (18460605)

    منشور في 2023
    "…<p dir="ltr">Accurate detection of pedestrian lanes is a crucial criterion for vision-impaired people to navigate freely and safely. The current deep learning methods have achieved reasonable accuracy at this task. …"