يعرض 1 - 16 نتائج من 16 نتيجة بحث عن '(( complementary system algorithm ) OR ((( recent rd algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.11s تنقيح النتائج
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    Application of Red Deer Algorithm in Optimizing Complex functions حسب Zitar, Raed

    منشور في 2021
    "…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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    Review and analysis for the Red Deer Algorithm حسب Zitar, Raed

    منشور في 2021
    "…The Red Deer algorithm (RDA), a recent population-based meta-heuristic algorithm, is thoroughly reviewed. …"
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    Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain حسب Farshad Rahimi Ghashghaei (20880995)

    منشور في 2025
    "…<p dir="ltr">This research presents an ensemble Reinforcement Learning (RL) approach that combines Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) algorithms to tackle quantum control problems. This research aims to use the complementary strengths of DQN and PPO algorithms to develop robust and adaptive control policies for noisy and uncertain quantum systems. …"
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    Ultra-small cell networks with collaborative RF and lightwave power transfer حسب Tran, HA-Vu

    منشور في 2019
    "…In the network, the optical transmitters play the primary role and are responsible for delivering information and power over the visible light while the RF AP acts as a complementary power transfer system. Thus, we propose a novel collaborative RF and lightwave resource allocation scheme for hybrid RF/VLC ultra-small cell networks. …"
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    article
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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). …"