يعرض 1 - 20 نتائج من 20 نتيجة بحث عن '(( implement cnn algorithm ) OR ((( element learner algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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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
    "…To accomplish such a feat, four user-specific methods were developed, implemented, and tested; all of which were based on a benchmark database created by the authors. …"
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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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    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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    Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques حسب Arifa Zahir (20748764)

    منشور في 2024
    "…Various Deep Learning algorithms, including Convolution Neural Network (CNN), LeNet, and Inception-V3 are implemented to classify the records and extract various patterns. …"
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    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"
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    Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

    منشور في 2020
    "…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"