بدائل البحث:
selective algorithm » detection algorithm (توسيع البحث)
يعرض 1 - 20 نتائج من 33 نتيجة بحث عن 'task selective algorithm', وقت الاستعلام: 0.05s تنقيح النتائج
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    Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment حسب Sachi Gupta (19560268)

    منشور في 2022
    "…Therefore, here we propose modified versions of the HEFT algorithm that can obtain improved results. In the rank generation phase, we implement different methodologies for calculating ranks, while in the processor selection phase, we modify the way of selecting idle slots for scheduling the tasks. …"
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    An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

    منشور في 2021
    "…Third, to improve the average F-score of the classifier, we apply a meta-heuristic optimization technique using a GA for feature selection. The proposed algorithm is tested on five publically available datasets and the results are compared with various state-of-the-art methods. …"
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    Toward automatic motivator selection for autism behavior intervention therapy حسب Siyam, Nur

    منشور في 2022
    "…We model the task of selecting a motivator as a Markov decision process problem. …"
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    Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection حسب Atiq ur Rehman (3044409)

    منشور في 2024
    "…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …"
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    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems حسب Abdel Magid, Y.L.

    منشور في 2020
    "…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …"
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    article
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    A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

    منشور في 2019
    "…Conceptualization is the basic task for ontology building. Concepts are identified, and then they are linked through their semantic relationships. …"
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    Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

    منشور في 2021
    "…The support vector machine (SVM) is employed for the classification task to estimate the goodness of the selected subset of genes. …"
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    Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams حسب Eduardo Feo-Flushing (23276023)

    منشور في 2021
    "…We define the mission planning problem through a model including multiple sub-problems that are addressed jointly: task selection and allocation, task scheduling, task routing, control of agent proximity over time. …"
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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. …"
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    Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems حسب Khaled Dhibi (16891524)

    منشور في 2023
    "…Therefore, an enhanced particle swarm optimization (PSO), data reduction, and interval-valued representation are proposed. First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …"
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    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

    منشور في 2022
    "…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"
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    Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation حسب Attieh, Joseph

    منشور في 2024
    "…Text classification is a key task of the Natural Language Processing (NLP) field that aims at assigning predefined categories to textual documents. …"
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    conferenceObject
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