يعرض 141 - 160 نتائج من 288 نتيجة بحث عن '(((( implementing modeling algorithm ) OR ( element data algorithm ))) OR ( data means algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 141

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) حسب Kouatli, Issam

    منشور في 2015
    "…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …"
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    conferenceObject
  2. 142

    Graph contraction for physical optimization methods حسب Mansour, Nashat

    منشور في 1993
    "…Mapping data to parallel computers aims at minimizing the execution time of the associated application. …"
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    conferenceObject
  3. 143
  4. 144

    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements حسب Emara-Shabaik, Husam

    منشور في 2020
    "…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …"
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    article
  5. 145

    “Adaptive Control Technique Using Multilayer Feedforward Neural Networks” حسب Al-Duwaish, H.

    منشور في 2005
    "…The controlled process is approximated at each sampling time by a linear time-invariant (LTI) model. The proposed adaptive controller is a combination of a parameter estimation algorithm to estimate the parameters of the process and an adaptation algorithm for the connection weights of the neural network. …"
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    article
  6. 146

    COMPUTER AIDED PROGRAMMING EDUCATION (CAPE) حسب Al-Sukairi, Abdallah

    منشور في 2020
    "…Much of the creativity in programming is concentrated in designing the solution rather than implementing it in a selected language. We have developed a model, called Computer Aided Programming Education (CAPE), that supports the program development process. …"
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    article
  7. 147

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

    منشور في 2002
    "…Forecasting performance measures such as mean square errors (MSE) and mean absolute deviations (MAD) are presented for both models.…"
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    conferenceObject
  8. 148

    A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer حسب M. Z. Yildiz (16855476)

    منشور في 2019
    "…In addition, the images were analyzed after noise attacks by means of peak signal-to-noise ratio (PSNR), mean square error (MSE), and the structural similarity index (SSIM) tests. …"
  9. 149
  10. 150

    On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

    منشور في 2017
    "…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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    article
  11. 151

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

    منشور في 1997
    "…Performance evaluation of the proposed methods and comparisons with existing methods are made by means of Monte-Carlo simulations, experimental data and analysis. …"
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    masterThesis
  12. 152

    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. …"
  13. 153

    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam, Eljilany

    منشور في 2022
    "…The cost of the algorithm was the cost of the genotyping assay. The model event probability inputs were extracted from major literature clinical trials, and the setting-specifc and cost inputs were locally obtained. …"
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    article
  14. 154
  15. 155

    EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach حسب Muhammad Adeel Asghar (6724982)

    منشور في 2019
    "…A series of vocabularies consisting of 10 cluster centers of each class is calculated using the k-means cluster algorithm. Lastly, the emotion of each subject is represented using the histogram of the vocabulary set collected from the raw-feature of a single channel. …"
  16. 156

    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam Eljilany (14151588)

    منشور في 2023
    "…The cost of the algorithm was the cost of the genotyping assay. The model event probability inputs were extracted from major literature clinical trials, and the setting-specifc and cost inputs were locally obtained. …"
  17. 157
  18. 158

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

    منشور في 2019
    "…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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  19. 159
  20. 160

    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study حسب Masurkar, Faeez

    منشور في 2022
    "…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …"
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