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Showing 1 - 13 results of 13 for search 'multi resource generation algorithm', query time: 0.06s Refine Results
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    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…This paper presents a novel hybrid optimization method to solve the resource allocation problem for multi-target multi-sensor tracking of drones. …”
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    Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks by Kherraf, Nouha

    Published 2019
    “…In addition, the considerable amount of data they generate brings extra burden to the existing wireless network infrastructure. …”
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    article
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    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations by Abbas, Nadine Fawaz

    Published 2017
    “…In this thesis, we propose and evaluate novel solutions to address emerging challenges related to the design of next generation heterogeneous wireless networks. Our research work is divided into two key objectives: the first objective aims at designing e↵ective user-centric resource management techniques in cellular/WiFi heterogeneous networks with quality of experience considerations, and the second objective aims at optimizing trac o✏oading in highly dense wireless networks using device-to-device cooperation, local caching, and planned channel allocation. …”
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    masterThesis
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    Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

    Published 2020
    “…Observing the headway in vehicular industry, new applications are developed demanding more resources. For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …”
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    Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle by Korkmaz, Jessica

    Published 2025
    “…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …”
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    masterThesis
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    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks by Abbas, Nadine

    Published 2018
    “…For performance evaluation, we consider a realistic scenario consisting of a stadium topology with thousands of mobile terminals active simultaneously. We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity.…”
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