يعرض 181 - 200 نتائج من 906 نتيجة بحث عن '(((( data models algorithm ) OR ( problem using algorithm ))) OR ( elements method algorithm ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 181

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
  2. 182

    Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

    منشور في 2023
    "…As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. …"
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    Incremental Genetic Algorithm حسب Mansour, Nashat

    منشور في 2006
    "…If these problems are not small in size, it becomes costly to use a genetic algorithm to reoptimize them after each modification. …"
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    article
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    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

    منشور في 2022
    "…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
  14. 194

    Minimizing using BBO and DFO methods حسب El Zeghondy, Jean

    منشور في 2022
    "…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …"
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    masterThesis
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    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect حسب Habeeb, Abdallah

    منشور في 2022
    "…The second phase, modified the Artificial Bee Colony (ABC) Algorithm, with Upper Confidence Bound (UCB) Algorithm, to promote the exploitation ability for the minimum dimension, to get the minimum number of the optimal feature, then using forward feature selection strategy by four classifiers of machine learning algorithms: (K-Nearest Neighbors (KNN), Support vector machines (SVM), Naïve-Bayes (NB), and Polynomial Neural Networks (PNN). …"
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    On the parameterized parallel complexity and the vertex cover problem حسب Abu-Khzam, Faisal N.

    منشور في 2016
    "…We initiate the study of FPPT with the well-known k-vertex cover problem. In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …"
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    conferenceObject