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Showing 1 - 20 results of 101 for search '(((( data deer algorithm ) OR ( model clustering algorithm ))) OR ( elements method algorithm ))', query time: 0.12s Refine Results
  1. 1
    Correlation Clustering with Overlaps

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
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  2. 2
    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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  3. 3
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 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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  4. 4
    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…Among these, K-means is widely used for efficiently solving clustering problems. This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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  5. 5
    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique

    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

    Published 2024
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  6. 6
    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data

    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

    Published 2022
    “…Distributed clustering algorithms, however, can fulfil this gap. …”
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  7. 7
    On the Optimization of Band Gaps in Periodic Waveguides

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
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  8. 8
    A cluster-based model for QoS-OLSR protocol

    A cluster-based model for QoS-OLSR protocol by Otrok, Hadi

    Published 2017
    “…Four cluster-based models are derived. Simulation results show that the novel cluster-based QoS-OLSR model, based on energy and bandwidth metrics, can efficiently prolong the network lifetime, ensure QoS and decrease delay.…”
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  9. 9
    The Use of Microwave Tomography in Bone Healing Monitoring

    The Use of Microwave Tomography in Bone Healing Monitoring by Alkhodari, Mohanad Ahmed

    Published 2019
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  10. 10
    Cooperative clustering models for Vehicular ad hoc networks. (c2013)

    Cooperative clustering models for Vehicular ad hoc networks. (c2013) by Abdel Wahab, Omar Mohammad

    Published 2013
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  11. 11
    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
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  12. 12
    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices

    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices by Khawam, Yahya Bader

    Published 2016
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  13. 13
    Correlation Clustering via 2-Club Clustering with Vertex Splitting

    Correlation Clustering via 2-Club Clustering with Vertex Splitting by Thoumi, Sergio

    Published 2024
    “…In this problem, we apply a sequence of k edge (or vertex) additions and/or deletions so the graph becomes a topological sum of clusters. At first, a cluster was considered a clique but relaxation models have later emerged as cliques were deemed too strict of a requirement in application domains. …”
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  14. 14
    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators

    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators by Al-Hamouz, Z.M.

    Published 2002
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  15. 15
    Reputation-based cooperative detection model of selfish nodes in cluster-based QoS-OLSR protocol. (c2014)

    Reputation-based cooperative detection model of selfish nodes in cluster-based QoS-OLSR protocol. (c2014) by Moati, Nadia

    Published 2014
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  16. 16
    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities

    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities by Mahdi Mokhtarzadeh (11593310)

    Published 2021
    “…A multi-objective mixed-integer non-linear programming (MINLP) model is developed. To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …”
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  17. 17
    Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm

    Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm by Ayman Khallel Al-Ani (17541447)

    Published 2023
    “…Compared to the existing approach, the design model in the proposed method is made by dividing the computing areas into several cluster regions, thereby reducing the complex monitoring system where control errors are minimized. …”
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  18. 18
    Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods

    Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods by Sivakavi Naga Venkata Bramareswara Rao (15944992)

    Published 2022
    “…From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…”
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  19. 19
    A reduced model for phase-change problems with radiation using simplified PN approximations

    A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

    Published 2025
    “…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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  20. 20
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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