Showing 81 - 100 results of 310 for search '(((( implement based algorithm ) OR ( experiments new algorithm ))) OR ( level coding algorithm ))', query time: 0.15s Refine Results
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    A Parallel Genetic Algorithm for the Open-Shop Scheduling Problem Using Deterministic and Random Moves by Harmanani, Haidar M.

    Published 2016
    “…The method is based on a novel implementation of genetic operators that combines the use of deterministic and random moves. …”
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    article
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    Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm by Noor Habib Khan (22224775)

    Published 2024
    “…To avoid such issues and provide the optimal solution, there are some modifications are implemented into the internal structure of t‐LCA based on Weibull flight operator, mutation‐based approach, quasi‐opposite‐based learning and gorilla troops exploitation‐based mechanisms to enhance the overall strength of the algorithm to obtain the global solution. …”
  7. 87

    New Hardware Algorithms and Designs for Montgomery Modular Inverse Computation in Galois Fields GF(p) and GF(2n) by Gutub, Adnan

    Published 2002
    “…We compare all scalable designs with fully parallel ones based on the same basic inversion algorithm. All scalable designs consumed less area and in general showed better performance than the fully parallel ones, which makes the scalable design a very efficient solution for computing the long precision Montgomery inverse.…”
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    masterThesis
  8. 88

    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
    “…The proposed model was developed and implemented using MATLAB software. A Pareto front was derived from the MOGA by employing the T2FNN within the process, identifying fourteen optimal solutions.…”
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    Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars by Abathar Al-Hamrani (16494884)

    Published 2023
    “…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…”
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    Blockchain-Based Decentralized Architecture for Software Version Control by Muhammad Hammad (17541570)

    Published 2023
    “…The proof of authority (PoA) consensus algorithm will be used to approve the developer communicating modifications to the private blockchain network; the authority will only provide permission and will not be able to add, edit, or delete code files. …”
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    A dynamically turbo-charged heuristic for graph coloring. (c2018) by Chahine, Bachir

    Published 2018
    “…The recently introduced turbo-charging idea is further enhanced in this thesis by introducing a dynamic version of turbo-charging where the moment of regret and the rollback points are determined dynamically. Experiments comparing our turbo-charging algorithm to other heuristics were conducted on a number of known benchmarks. …”
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    masterThesis
  17. 97

    Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

    Published 2021
    “…In this paper, we contribute a new formulation of the proxy behavior derived from a model for approximate conformance checking. …”
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  18. 98

    Distributed optimal coverage control in multi-agent systems: Known and unknown environments by Mohammadhasan Faghihi (22303057)

    Published 2024
    “…A distinguishing feature of this approach lies in its departure from the reliance on geometric methods that are characteristic of Voronoi-based approaches; hence it can be implemented more simply. …”
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    FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

    Published 2020
    “…The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …”
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    article
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