يعرض 61 - 80 نتائج من 202 نتيجة بحث عن '(((( element method algorithm ) OR ( complement low algorithm ))) OR ( neural modeling algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 61
  2. 62

    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. …"
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    article
  3. 63

    Online dynamic ensemble deep random vector functional link neural network for forecasting حسب Ruobin Gao (16003195)

    منشور في 2023
    "…<p>This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). …"
  4. 64

    A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT حسب Harun Surej Ilango (17545728)

    منشور في 2022
    "…The existing AI-based detection algorithms in the literature are signature-based, and their efficacy in detecting unknown LR DoS attacks was not explored. …"
  5. 65

    A Multi-Channel Convolutional Neural Network approach to automate the citation screening process حسب Raymon van Dinter (10521952)

    منشور في 2021
    "…A Multi-Channel Convolutional Neural Network (CNN) is proposed, which can automatically classify a given set of citations. …"
  6. 66

    Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements حسب Stefano Nardean (14151900)

    منشور في 2023
    "…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. …"
  7. 67
  8. 68

    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. …"
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    article
  9. 69

    Parallel physical optimization algorithms for allocating data to multicomputer nodes حسب Mansour, Nashat

    منشور في 1994
    "…They are based on simulated annealing, neural networks and genetic algorithms. All three algorithms deviate from the sequential versions in order to achieve acceptable speedups. …"
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    article
  10. 70

    Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

    منشور في 2020
    "…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"
  11. 71
  12. 72

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

    منشور في 1992
    "…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …"
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    masterThesis
  13. 73

    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks حسب Sharma, Neetan

    منشور في 2023
    "…This paper aims to acknowledge the extended stellar forecasting algorithm using artificial neural network common sensical aspect. …"
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  14. 74

    MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection حسب Sui Paul Ang (18460605)

    منشور في 2023
    "…This paper proposes a novel neural architecture search (NAS) algorithm, named MSD-NAS, to automate this laborious task. …"
  15. 75

    A method for optimizing test bus assignment and sizing for system-on-a-chip حسب Harmanani, Haidar M.

    منشور في 2017
    "…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …"
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    conferenceObject
  16. 76

    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

    منشور في 2024
    "…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"
  17. 77

    A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks حسب Yassine Himeur (14158821)

    منشور في 2022
    "…Besides micro-moment features extraction, we also experiment with a deep neural network architecture for efficient abnormality detection and classification. …"
  18. 78

    Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review حسب Yasir Ali (799969)

    منشور في 2023
    "…In this question, we also determined the various models, frameworks, techniques and algorithms suggested by ANNs for the security advancements of IoT. …"
  19. 79

    Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System حسب Alaa Altawallbeh (22565837)

    منشور في 2025
    "…Through systematic eigenvalue analysis and parameter sensitivity studies, complemented by time-domain verification in MATLAB/SIMULINK, we demonstrate the decisive influence of VSG control parameters on low-frequency oscillation (LFO) damping characteristics, transient frequency stability metrics, including the rate of change of frequency (ROCOF), maximum frequency deviation (<i>fnadir</i>), overshoot, and settling time. …"
  20. 80

    Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

    منشور في 2006
    "…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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    masterThesis