يعرض 281 - 300 نتائج من 443 نتيجة بحث عن '(( alignment network algorithm ) OR ((( data codes algorithm ) OR ( data models algorithm ))))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 281

    Computation of conformal invariants حسب Mohamed M.S., Nasser

    منشور في 2020
    "…We compare the performance and accuracy to previous results in the cases when numerical data is available and also in the case of several model problems where exact results are available.…"
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    article
  2. 282

    Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

    منشور في 2021
    "…We compare the performance and accuracy to previous results in the cases when numerical data is available and also in the case of several model problems where exact results are available.…"
  3. 283

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

    منشور في 2019
    "…As the amount of data grows daily, the model can be trained with more and more data as time passes. …"
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  4. 284

    Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

    منشور في 2022
    "…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
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  5. 285

    Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

    منشور في 2023
    "…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
  6. 286

    Dynamic multiple node failure recovery in distributed storage systems حسب Itani, May

    منشور في 2018
    "…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …"
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    article
  7. 287
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    STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

    منشور في 2025
    "…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
  11. 291

    Cross entropy error function in neural networks حسب Nasr, G.E.

    منشور في 2002
    "…To forecast gasoline consumption (GC), the ANN uses previous GC data and its determinants in a training data set. …"
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    conferenceObject
  12. 292
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    Exploring Digital Competitiveness through Bayesian Belief Networks حسب Qazi, Abroon

    منشور في 2025
    "…The methodology involves constructing BBN models using data from the IMD Digital Competitiveness Ranking 2023 for 64 countries. …"
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    article
  14. 294

    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

    منشور في 2021
    "…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …"
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    FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK حسب Al-Garni, Ahmed Z.

    منشور في 2007
    "…Three years of data are used for model building and validation. …"
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    article
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    Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

    منشور في 2025
    "…The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …"