يعرض 1 - 20 نتائج من 704 نتيجة بحث عن '(((( based colony algorithm ) OR ( data using algorithm ))) OR ( relevant data algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 1

    Bee Colony Algorithm for Proctors Assignment. حسب Mansour, Nashat

    منشور في 2015
    "…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
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    article
  2. 2

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

    منشور في 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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    article
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    Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

    منشور في 2015
    "…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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    masterThesis
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    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

    منشور في 2021
    "…The suggested algorithm integrates the SI-based algorithms to evolve population and handle exploration versus exploitation issues. …"
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    Indexing Arabic texts using association rule data mining حسب Haraty, Ramzi A.

    منشور في 2019
    "…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …"
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    article
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    A modified ant colony algorithm for evolutionary design of digital circuits حسب Sait, Sadiq M.

    منشور في 2003
    "…In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. …"
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    article
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    Fuzzified ant colony optimization algorithm for efficient combinational circuits synthesis حسب Sarif, B.A.B.

    منشور في 2004
    "…Multiobjective optimization of logic circuits based on a fuzzified ant colony (ACO) algorithm is presented. …"
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    article
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    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence حسب Al Rayhi, Nasser

    منشور في 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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    Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

    منشور في 2022
    "…The forecasting performance of the proposed model is compared with other population-based optimized IT2-FLS including genetic algorithm and artificial bee colony optimization algorithm. …"
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    A combined ant colony optimization and simulated annealing algorithm to assess Stability and fault-proneness of classes based on internal software quality attributes حسب Azar, Danielle

    منشور في 2016
    "…., & Daoud, C. (2016). A Combined Ant Colony Optimization and Simulated Annealing Algorithm to Assess Stability and Fault-Proneness of Classes Based on Internal Software Quality Attributes. …"
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    article
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    Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

    منشور في 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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    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

    منشور في 2022
    "…Moreover, the image pixels in different and more similar areas of the image are located next to one another in a group and classified using the specified thresholds. As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. …"
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    Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

    منشور في 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. …"