Showing 1 - 20 results of 46 for search '(((( element control algorithm ) OR ( element network algorithm ))) OR ( source coding algorithm ))', query time: 0.11s Refine Results
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    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …”
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    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and c cliques. …”
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    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS by Youssef, H.

    Published 2020
    “…In this paper, we present a Simulated Evolution algorithm for the design of campus network topology. …”
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    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm by Youssef, H.

    Published 2020
    “…The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …”
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    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm by Youssef, H.

    Published 2020
    “…The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …”
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    article
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    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
    “…The authors report on the design of a digital feedback control system to provide null steering by controlling the array element positions automatically. …”
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    LNCRI: Long Non-Coding RNA Identifier in Multiple Species by Saleh Musleh (15279190)

    Published 2021
    “…The benchmark datasets and source code are available in GitHub: http://github.com/smusleh/LNCRI.…”
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    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

    Published 2025
    “…In this study, we introduce an innovative method for the multi-classification of breast cancer histopathological images utilizing Bidirectional Recurrent Neural Networks (BRNN). The BRNN structure consists of four unique elements: the backbone branch for transfer learning, the Gated Recurrent Unit (GRU), the residual collaborative branch, and the feature fusion module. …”
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    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
    “…We show that the results of the trained network agree well with the results of the nonlinear finite element analysis. …”
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    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications by Abu Zitar, Raed

    Published 2021
    “…Furthermore, the open sources code of JAYA algorithm are identified to provide enrich resources for JAYA research communities. …”
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    Fuzzy simulated evolution algorithm for topology design of campusnetworks by Youssef, H.

    Published 2000
    “…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …”
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    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions by Abdulmalik Alwarafy (17984104)

    Published 2022
    “…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …”
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    Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants by Shafiq, M.

    Published 2006
    “…Adaptive tracking of nonlinear dynamic plants is an essential element of many control applications. The main difficulty felt in establishing the tracking of nonlinear dynamic plants is the computational complexity in controller design. …”
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