يعرض 1 - 20 نتائج من 31 نتيجة بحث عن '(((( implementing cnn algorithm ) OR ( elements magic algorithm ))) OR ( level coding algorithm ))*', وقت الاستعلام: 0.13s تنقيح النتائج
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    Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

    منشور في 2024
    "…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …"
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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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    Enhancing e-learning through AI: advanced techniques for optimizing student performance حسب Rund Mahafdah (21399854)

    منشور في 2024
    "…The findings demonstrate that CNN outperformed other deep learning and machine learning algorithms in terms of accuracy during the prediction phase, showcasing the advanced capabilities of AI in educational contexts. …"
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    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning حسب ALFALASI, FARIS Jr

    منشور في 2023
    "…The results that obtained from 2-classes classification showed a superiority of LSTM in terms of accuracy with 95.59%, while the best accuracy in the 6-classes classification gained from implementing CNN with 78.75%. Meanwhile the f1-score results were the highest in LSTM for the 2-lasses and 6-classes classifications with 96.73% , and 89%, respectively. …"
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    Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

    منشور في 2019
    "…We identified among the traditional algorithms, two approaches that perform better than the algorithm implemented by the actigraphy device used in the MESA Sleep experiments. …"
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    A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

    منشور في 2024
    "…Finally, a K-nearest neighbor (KNN) model with majority voting is implemented for the final classification task. The proposed FSL-derived algorithm provides a prediction accuracy of 93.2%.…"
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    An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control حسب Mahmoud Dahmani (18810247)

    منشور في 2020
    "…Different metrics to quantitatively evaluate the performance of each algorithm in terms of accuracy and latency were computed and overall comparison is presented. …"
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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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    Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

    منشور في 2025
    "…About 35 % utilized deep learning algorithms, specifically convolutional neural networks (CNN) (<i>n </i>= 14). …"
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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