يعرض 1 - 20 نتائج من 596 نتيجة بحث عن '(( element would algorithm ) OR ((( data finding algorithm ) OR ( based methods algorithm ))))', وقت الاستعلام: 0.15s تنقيح النتائج
  1. 1

    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
    "…In the DE-based RDH method, finding spaces that create less distortion in the marked image is a significant challenge, and has a high insertion capacity. …"
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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. …"
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    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) حسب Wehbe, Gioia Wahib

    منشور في 2016
    "…Our algorithm first performs a feature selection step to define differentiable SNPs. …"
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    masterThesis
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    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

    منشور في 2022
    "…An efficient optimization method is needed to address complicated problems and find optimal solutions. …"
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    Bee Colony Algorithm for Proctors Assignment. حسب Mansour, Nashat

    منشور في 2015
    "…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …"
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    article
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    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…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. …"
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    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

    منشور في 2022
    "…We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk حسب Mohamed Chaouch (17983846)

    منشور في 2025
    "…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"
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    Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems حسب Abu Zitar, Raed

    منشور في 2022
    "…The superiority of the proposed Lévy flight-based reptile search and Nelder-Mead (L-RSANM) algorithm-based PID controller for the AVR system is demonstrated comparatively using convergence, statistical and nonparametric tests along with transient and frequency responses. …"
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    Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

    منشور في 2024
    "…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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    A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

    منشور في 2025
    "…A range of machine learning (ML) methods can be used to recognize facial expressions based on data from small to large datasets. …"
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    On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

    منشور في 2023
    "…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"
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    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

    منشور في 2023
    "…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"