Search Results - (( developing communication satisfaction algorithm ) OR ( java binary classification algorithm ))

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  1. 1
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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  2. 2
    Effective downlink resource management for wimax networks

    Effective downlink resource management for wimax networks by Shareef, Zayd Ashraf Najeeb

    Published 2018
    “…Therefore, EDRM maximised the data transfer rate and reached effective transmission and utilisation in all the developed functions. Optimistically, the comprehensive resource management for downlink communication in WiMAX such as EDRM can have notable advantages and achieve substantial performance that lead to improved user satisfaction.…”
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  3. 3
    Enhanced hierarchical dynamic bandwidth allocation algorithm with excess bandwidth and SLA techniques for upstream ethernet PON

    Enhanced hierarchical dynamic bandwidth allocation algorithm with excess bandwidth and SLA techniques for upstream ethernet PON by Sadon S.Kh., Radzi N.A.M., Din N.M., Mustafa I.S., Al-Mansoori M.H., Yaacob M.

    Published 2023
    Conference paper
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  4. 4
    Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri

    Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri by Nik Mohd Asri, Nik Asyraniasna

    Published 2024
    “…The end goal is to provide organizations with an effective tool that helps them better understand their customer segments, enabling them to develop more individualized and successful communication strategies in the context of a competitive market.…”
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  5. 5
    Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes

    Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes by Khan, Nusratullah, Akram, M. Usman, Shah, Asadullah, Ahmed Khan, Shoab

    Published 2018
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