Showing 1 - 20 results of 462 for search '(((( implementing a algorithm ) OR ( elements based algorithm ))) OR ( neural coding algorithm ))', query time: 0.15s Refine Results
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    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network by Xiaofang Pan (1895950)

    Published 2019
    “…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. As a result, within a response time as short as 0.5 s, the proposed implementation is capable of recognizing the gas species with an accuracy of 84.06%. …”
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    A Parallel Algorithm for Inverse Halftoning and its Hardware Implementation by Siddiqi, Umair F.

    Published 2020
    “…Abstract Lookup Table (LUT) method for inverse halftoning is computation less, fast and also yields goods results. This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …”
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    article
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    A parallel GPU implementation of the timber wolf placement algorithm by Harmanani, Haidar M.

    Published 2015
    “…The algorithm has been implemented on a Xeon Workstation using C, and achieved a substantial acceleration on an Nvidia Tesla C2070 card.…”
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    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. …”
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    article
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    Parallel algorithm for hardware implementation of inverse halftoning by Siddiqi, U.F.

    Published 2005
    “…A parallel algorithm and its hardware implementation are proposed for an inverse halftone operation. …”
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    article
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    Parallel Algorithm for Hardware Implementation of Inverse Halftoning by Siddiqi, Umair F.

    Published 2005
    “…A Parallel algorithm and its hardware implementation of Inverse Halftone operation is proposed in this paper. …”
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    article
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    Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter by Al-Omari, Muhannad A. R. I.

    Published 2013
    “…Al-Omari entitled, "Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter," submitted in June 2013. …”
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    doctoralThesis
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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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    Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant by Shahbaz Hussain (9765320)

    Published 2019
    “…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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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
    “…A CAD model of a dashboard part is incorporated into a finite element analysis to measure shear and residual stresses. …”
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    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
    “…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. …”