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training algorithms » learning algorithms (توسيع البحث)
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based training » based learning (توسيع البحث)
يعرض 101 - 120 نتائج من 196 نتيجة بحث عن '(( elements method algorithm ) OR ((( data encoding algorithm ) OR ( based training algorithms ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 101

    STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

    منشور في 2025
    "…Additionally, it reduces the required training data by 39 times, training time by 36 times, model size by 6 times, real time factor (RTF) by 1 point, and multiply-accumulate operations (MACs) by 9 times compared to a recently proposed lightweight transformer-based encoder-decoder framework, while offering a slight decrease in PESQ score (by 0.45 points).…"
  2. 102

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. …"
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  3. 103

    Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

    منشور في 2003
    "…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …"
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    article
  4. 104

    Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

    منشور في 2002
    "…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. …"
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    article
  5. 105
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  7. 107

    Communications in electronic textile systems حسب Nakad, Z.

    منشور في 2017
    "…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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    conferenceObject
  8. 108

    Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

    منشور في 2019
    "…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
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    article
  9. 109

    Single-channel speech denoising by masking the colored spectrograms حسب Sania Gul (18272227)

    منشور في 2025
    "…Similarly, it offers an improvement of 1 % in STOI and a reduction of 33 and 200 times, respectively, in network size and training epochs when compared to a complex variational U-Net-based model. …"
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  11. 111

    PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits حسب Hind Almerekhi (7434776)

    منشور في 2022
    "…<p>Promoting healthy discourse on community-based online platforms like Reddit can be challenging, especially when conversations show ominous signs of toxicity. …"
  12. 112

    Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization حسب Yassine Himeur (14158821)

    منشور في 2023
    "…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. DL algorithms require data labeling and high-performance computers to effectively analyze and understand surveillance data recorded from fixed or mobile cameras installed in indoor or outdoor environments. …"
  13. 113

    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory حسب Wehbi, Osama

    منشور في 2022
    "…., Internet of Things devices) for the training of machine learning models. However, selecting the participants that would contribute to this collaborative training is highly challenging. …"
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    masterThesis
  14. 114

    Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations حسب Md Mosarrof Hossen (21399056)

    منشور في 2025
    "…To address this challenge, this study aims to optimize household energy consumption while preserving data privacy by proposing an innovative two-stage Federated Learning (FL) framework that delivers real-time micro-moment-based recommendations. Leveraging FL enables efficient model training across diverse end-user applications while preserving data privacy. …"
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  17. 117

    Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

    منشور في 2025
    "…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …"
  18. 118

    A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques حسب SALLOUM, SAID

    منشور في 2022
    "…Amongst the range of classification algorithms, support vector machines (SVMs) are heavily utilised for detecting phishing emails. …"
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  19. 119

    Building power consumption datasets: Survey, taxonomy and future directions حسب Yassine Himeur (14158821)

    منشور في 2020
    "…The latter will be very useful for testing and training anomaly detection algorithms, and hence reducing wasted energy. …"
  20. 120

    Efficient Seismic Volume Compression using the Lifting Scheme حسب Khene, M. F.

    منشور في 2000
    "…In addition, the lifting scheme offers: 1) a dramatic reduction of the required auxiliary memory, 2) an efficient combination with parallel rendering algorithms to perform arbitrary surface and volume rendering for interactive visualization, and 3) an easy integration in the parallel I/O seismic data loading routines. …"
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    article