يعرض 61 - 80 نتائج من 210 نتيجة بحث عن '(( complement td3 algorithm ) OR ((( present work algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.10s تنقيح النتائج
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    An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive حسب Rahman, M. A.

    منشور في 2006
    "…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …"
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    article
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    A dynamically turbo-charged heuristic for graph coloring. (c2018) حسب Chahine, Bachir

    منشور في 2018
    "…We launch a study on the dynamic form of the graph coloring problem proving it to be fixed-parameter tractable with respect to the edit-parameter. This leads us to present a new turbo-charged heuristic for the problem that works by merging standard heuristic tools like Greedy coloring with the turbo-charging technique. …"
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    masterThesis
  8. 68

    A Modified PWM Strategy With an Improved ANN Based MPPT Algorithm for Solar PV Fed NPC Inverter Driven Induction Motor Drives حسب Nazmul Islam Nahin (17949158)

    منشور في 2023
    "…The presented ANN based dc-link controlled technique ensures stable dc-link voltage against wide range of PV parameters variation. …"
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    A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions حسب Muhammad Shahid Wasim (16883984)

    منشور في 2022
    "…The swarm-based MPPT algorithms are stochastic meta-heuristic approaches that have become very popular recently in various applications owing to the drawbacks of conventional MPPT algorithms under different operating conditions. …"
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    On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

    منشور في 2023
    "…However, considering the OSW, which has not been addressed in the project scheduling problems, requires the construction site to have a space capacity constraint while considering the workshop size, availability level, and other project-related constraints. In the present work, by considering the OSWs, a real construction project scheduling problem is studied as a Multi-Mode On-Site Workshop Investment Problem with Tardiness (MOSWIPT) while finding the installation/dismantling time of the OSWs. …"
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    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

    منشور في 2019
    "…Our study also reveals that ensemble machine learning algorithms are more reliable and outperform standard algorithms.…"
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    Correlation Clustering via s-Club Cluster Edge Deletion حسب Makarem, Norma

    منشور في 2023
    "…The problem can be solved in time O(4k). We present a first fixed-parameter algorithm that breaks this 4k barrier by solving the problem in O(3.65k) time. …"
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    masterThesis
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    Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme حسب Sudhanshu Ranjan (17151115)

    منشور في 2021
    "…<p dir="ltr">This work confers the simultaneous analysis of voltage and frequency control of the 3-area interconnected hybrid power system (IHPS) consisting of parabolic-trough solar power system (PSP), wind power system (WPS) and dish-stirling solar power system (DSP) under the paradigm of microgrid. …"
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    An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification حسب Zhaohui Cen (17217391)

    منشور في 2015
    "…Subsequently a simple but effective global MPPT algorithm is proposed to track the MPP in the overallP-Icurve obtained from the identified PV array model, ensuring that the converter works at the MPP. …"
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    Android Malware Detection Using Machine Learning حسب Al Ali, Shaikha

    منشور في 2024
    "…In this work, several machine learning algorithms were utilized, namely k-Nearest neighbor (KNN), Decision Trees (DT), Naive Bayes (NB), Support Vector Machine (SVM) and other ensemble classifiers including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM) and CatBoost. …"
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    article