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Showing 1 - 20 results of 713 for search '(( element per algorithm ) OR ((( statistical modeling algorithm ) OR ( data using algorithms ))))', query time: 0.14s Refine Results
  1. 1
    Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010)

    Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010) by Ghalayini, Iman Adnan

    Published 2010
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  2. 2
    Using genetic algorithms to optimize software quality estimation models

    Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

    Published 2004
    “…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …”
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  3. 3
    Scatter search for protein structure prediction. (c2008)

    Scatter search for protein structure prediction. (c2008) by Kehyayan, Christine Houry

    Published 2008
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  4. 4
    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)

    A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) by Korkmaz, Rita

    Published 2008
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  5. 5
    Efficient Approximate Conformance Checking Using Trie Data Structures

    Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

    Published 2021
    “…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …”
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  6. 6
    Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy

    Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy by Haitao Xu (435549)

    Published 2023
    “…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …”
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  7. 7
    Allocation and re-allocation of data in a grid using an adaptive genetic algorithm

    Allocation and re-allocation of data in a grid using an adaptive genetic algorithm by Mansour, N.

    Published 2006
    “…Allocation and re-allocation of data in a grid using an adaptive genetic algorithm. …”
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  8. 8
    An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm

    An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm by M Baritha Begum (17541483)

    Published 2023
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  9. 9
    Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning

    Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

    Published 2024
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  10. 10
    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence

    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence by Al Rayhi, Nasser

    Published 2020
    “…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …”
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  11. 11
    Joint Inversion of Direct Current Resistivity and Seismic Refraction Data, using Local and Global Optimization Algorithms with Synthetic and Real Data Examples

    Joint Inversion of Direct Current Resistivity and Seismic Refraction Data, using Local and Global Optimization Algorithms with Synthetic and Real Data Examples by unknown

    Published 2020
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  12. 12
    Heuristic Algorithm for Obtaining Approximate Optimum Stratification With Mixture of Ratio and Product Estimators

    Heuristic Algorithm for Obtaining Approximate Optimum Stratification With Mixture of Ratio and Product Estimators by S. E. H. Rizvi (22052105)

    Published 2024
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  13. 13
    Variable Selection in Data Analysis: A Synthetic Data Toolkit

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 2024
    “…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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  14. 14
    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006)

    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) by Zeitunlian, Arda

    Published 2006
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  15. 15
    Using Machine Learning Algorithms to Forecast Solar Energy Power Output

    Using Machine Learning Algorithms to Forecast Solar Energy Power Output by Ali Jassim Lari (22597940)

    Published 2025
    “…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …”
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  16. 16
    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach

    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach by BILQUISE, GHAZALA

    Published 2019
    “…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …”
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  17. 17
    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms

    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms by Usman Ali (6586886)

    Published 2022
    “…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …”
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  18. 18
    Data reductions and combinatorial bounds for improved approximation algorithms

    Data reductions and combinatorial bounds for improved approximation algorithms by Abu-Khzam, Faisal N.

    Published 2016
    “…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
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  19. 19
    Distributed dimension reduction algorithms for widely dispersed data

    Distributed dimension reduction algorithms for widely dispersed data by Abu-Khzam, F.N.

    Published 2002
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  20. 20
    A genetic algorithm for testable data path synthesis

    A genetic algorithm for testable data path synthesis by Harmanani, H.

    Published 2017
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