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Showing 121 - 140 results of 338 for search '(( data selection algorithm ) OR ( data ((pollination algorithm) OR (optimization algorithm)) ))', query time: 0.12s Refine Results
  1. 121
    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM

    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM by Selim, S.Z.

    Published 2020
    “…We also find optimal parameters values for a specific class of data sets and give recommendations on the choice of parameters for general data sets. …”
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  2. 122
    Graph Contraction for Mapping Data on Parallel Computers

    Graph Contraction for Mapping Data on Parallel Computers by Mansour, N.

    Published 1994
    “…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …”
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  3. 123
    Optimizing ADWIN for Steady Streams

    Optimizing ADWIN for Steady Streams by Moharram, Hassan

    Published 2022
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  4. 124
    Scatter Search algorithm for Protein Structure Prediction

    Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

    Published 2016
    “…The results show that our algorithm is able to produce 3D structures with good sub-optimal energy values. …”
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  5. 125
    The Effects of Data Mining on Small Businesses in Dubai

    The Effects of Data Mining on Small Businesses in Dubai by AlMutawa, Rasha

    Published 2011
    “…This study was conducted with the aim of finding the benefits of data mining on small businesses and specifically on the real estate sector in Dubai, and the criteria to be used when evaluating and selecting the best tools to consider for such businesses. …”
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  6. 126
    Combinatorial method for bandwidth selection in wind speed kernel density estimation

    Combinatorial method for bandwidth selection in wind speed kernel density estimation by El Dakkak, Omar

    Published 2019
    “…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …”
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  7. 127
    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learning Models Based on Dimensionality Reduction

    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

    Published 2020
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  8. 128
    An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting

    An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting by Mohamed Massaoudi (16888710)

    Published 2021
    “…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …”
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  9. 129
    Implementation of trust region methods in optimization. (c1998)

    Implementation of trust region methods in optimization. (c1998) by Hajj, Mohammed Omar

    Published 1998
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  10. 130
    Capturing outline of fonts using genetic algorithm and splines

    Capturing outline of fonts using genetic algorithm and splines by Sarfraz, M.

    Published 2001
    “…In order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which becomes a continuous, non-linear and multivariate optimization problem with many local optima. …”
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  11. 131
    Graph contraction for physical optimization methods

    Graph contraction for physical optimization methods by Mansour, Nashat

    Published 1993
    “…We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, Genetic Algorithm and Simulated Annealing. …”
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  12. 132
    On sensor selection in mobile devices based on energy, application accuracy, and context metrics

    On sensor selection in mobile devices based on energy, application accuracy, and context metrics by Taleb, Sireen

    Published 2013
    “…We use this algorithm to build a sensor selection model to choose among location sensors. …”
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  13. 133
    Online Control and Optimization of Directional Drilling

    Online Control and Optimization of Directional Drilling by unknown

    Published 2020
    “…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …”
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  14. 134
    ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks

    ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

    Published 2022
    “…The proposed scheme for handover prediction outperforms traditional methods i.e. received signal strength method and traveling distance method by reducing the number of unnecessary handovers by 60% and 50% respectively. Similarly, in AP selection, the proposed scheme outperforms the strongest signal first and least loaded first algorithms by achieving higher throughput gains up to 9.2% and 8% respectively.…”
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  15. 135
    Correlation Clustering via s-Club Cluster Edge Deletion

    Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

    Published 2023
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  16. 136
    Second-order conic programming for data envelopment analysis models

    Second-order conic programming for data envelopment analysis models by Mourad, Nahia

    Published 2022
    “…Data envelopment analysis (DEA) is a widely used benchmarking technique. …”
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  17. 137
    A method for data path synthesis using neural networks

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
    “…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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  18. 138
    Simulated annealing and genetic algorithms for exam scheduling. (c1997)

    Simulated annealing and genetic algorithms for exam scheduling. (c1997) by Tarhini, Abbas A.

    Published 1997
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  19. 139
    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition

    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition by Dabeeruddin Syed (16864260)

    Published 2021
    “…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …”
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  20. 140
    A Deployment Optimization Model for Wimax Base-Stations

    A Deployment Optimization Model for Wimax Base-Stations by Aboualmal, Abdulhadi Mahmoud

    Published 2011
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