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learning algorithm » learning algorithms (توسيع البحث)
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data learning » deep learning (توسيع البحث)
يعرض 361 - 380 نتائج من 444 نتيجة بحث عن '(((( data learning algorithm ) OR ( found using algorithm ))) OR ( elements method algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 361

    HPTS: heterogeneous parallel tabu search for VLSI placement حسب Al-Yamani, A.

    منشور في 2002
    "…In this work, a parallel tabu search algorithm for heterogeneous workstations is presented using PVM. …"
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    article
  2. 362

    Neural network-based failure rate prediction for De Havilland Dash-8 tires حسب Al-Garni, Ahmed Z.

    منشور في 2006
    "…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables and the output is the failure rate of the tires. …"
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    article
  3. 363

    Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique حسب Al-Garni, Ahmed Z.

    منشور في 2006
    "…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables, and the output is the failure rate of the tires. …"
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    article
  4. 364
  5. 365

    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials حسب Ghouti, Lahouari

    منشور في 1997
    "…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …"
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    masterThesis
  6. 366

    On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints حسب Temadher A. Almaadeed (14151288)

    منشور في 2022
    "…To solve e-TRS, we use the alternating direction method of multipliers approach and a branch and bound algorithm. …"
  7. 367

    A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

    منشور في 2025
    "…In this research, we propose and evaluate a modified version of a deep learning algorithm called U-Net architecture for partitioning histopathological images. …"
  8. 368

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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  9. 369
  10. 370
  11. 371

    Adaptive Chip-Level Channel Estimation for IMT-DS System: DL and UL حسب SHEIKH, ASRAR

    منشور في 2005
    "…In this paper, chip-level adaptive channel estimation has been explored by using LMS algorithm for wideband CDMA channel estimation. …"
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    article
  12. 372

    Theoretical Estimation of the Dispersion Curves in an Orthotropic Composite Plate حسب Abdellah Nouala

    منشور في 2024
    "…In this work, root-finding using the bisection algorithm is proposed to solve the transcendental dispersion relations and evaluate the dispersion curves of ultrasonic-guided waves propagating in an orthotropic composite plate. …"
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  13. 373

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

    منشور في 2001
    "…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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    article
  14. 374

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

    منشور في 2001
    "…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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    article
  15. 375

    Investigation of Forming a Framework to shortlist contractors in the tendering phase حسب DABASH, MOHANNAD SALAH

    منشور في 2022
    "…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …"
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  16. 376

    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

    منشور في 2022
    "…Accordingly, a dataset containg 258 data points was extracted from the DFT method to use in machine learning method. …"
  17. 377

    Predicting COVID-19 cases using bidirectional LSTM on multivariate time series حسب Ahmed Ben Said (14158926)

    منشور في 2022
    "…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"
  18. 378

    Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches حسب ALHAJERI, RASHED ABDULLA

    منشور في 2018
    "…CdTe Thin Film After running the algorithm and comparing results with the existing periodic based manual cleaning approach of 5 days currently in place in the Mohammed bin Rashid 13 MW solar park, it was found that the best approaches (in order of best to worst) were: 1. …"
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  19. 379
  20. 380

    Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier حسب Yassine Himeur (14158821)

    منشور في 2021
    "…Specifically, short local histograms are drawn to represent individual appliance consumption signatures and robustly extract appliance-level data from the aggregated power signal. Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …"