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Showing 201 - 220 results of 308 for search '(((( elements method algorithm ) OR ( relevant data algorithm ))) OR ( time processing algorithm ))', query time: 0.12s Refine Results
  1. 201
    Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies

    Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies by Mohamed, Eman

    Published 2017
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  2. 202
    Optimizing ADWIN for Steady Streams

    Optimizing ADWIN for Steady Streams by Moharram, Hassan

    Published 2022
    “…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. …”
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  3. 203
    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea

    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea by Issa, Leila

    Published 2018
    “…To this end, an efficient algorithm for forward and backward tracking of passive particles in stochastic flow-fields is presented. …”
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  4. 204
    Approximate XML structure validation based on document–grammar tree similarity

    Approximate XML structure validation based on document–grammar tree similarity by Tekli, Joe

    Published 2015
    “…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…”
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  5. 205
    Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization

    Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization by Alhadhrami, Esra Ebrahim

    Published 2023
    “…These outcomes were compared with those of a feed-forward neural network learning, the Castella innovation/ Q values mapping, and fixed Q values. The PPO algorithm yielded promising results. We employed the Stone Soup library to simulate ground truths, measurements, and the Kalman filter tracking process.…”
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  6. 206
    An effective design system for dynamically reconfigurable architectures

    An effective design system for dynamically reconfigurable architectures by Ouaiss, I.

    Published 2017
    “…The results, obtained on a commercial RC architecture, show that the multiply-reconfigured version of the JPEG compression algorithm achieves reasonable improvement in execution times compared to the one-time configured version.…”
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  7. 207
    Corona power loss computation in bundled bipolar conductors

    Corona power loss computation in bundled bipolar conductors by Al-Hamouz, Z.M.

    Published 2000
    “…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …”
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  8. 208
    FPGA-Based Network Traffic Classification Using Machine Learning

    FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

    Published 2020
    “…The performed experiments show that 60% of flow packets are a good compromise that ensures high performance in the least processing time. 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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  9. 209
    Approximate XML structure validation technical report

    Approximate XML structure validation technical report by Tekli, Joe

    Published 2014
    “…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…”
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  10. 210
    Development of multivariable PID controller gains in presence of measurement noise

    Development of multivariable PID controller gains in presence of measurement noise by Saab, Samer S.

    Published 2017
    “…It turns out that such convergence requires time-varying gains. Subsequently, novel recursive algorithms providing optimal and sub-optimal time-varying PID gains are proposed for discrete-time varying linear multiple-input multiple-output (MIMO) systems. …”
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  11. 211
    Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing

    Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)

    Published 2020
    “…Numerical results corroborate that our designed algorithm can gain above 80% execution time conservation and 62% conservation on energy consumption, and it exhibits fast convergence and superior performance compared to benchmark solutions.…”
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  12. 212
    Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks

    Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks by Jafari, Reza

    Published 2005
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  13. 213
    Extreme Early Image Recognition Using Event-Based Vision

    Extreme Early Image Recognition Using Event-Based Vision by Abubakar Abubakar (18278998)

    Published 2023
    “…It is demonstrated that, on average for all the datasets, the proposed technique recognizes an image 38.7 ms before the first perfect event and 603.4 ms before the last event is received, which is a reduction of 34% and 69% of the time needed, respectively. Further, less processing is required as the image is recognized 9460 events earlier, which is 37% less than waiting for the first perfectly recognized image. …”
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  14. 214
    Exploring the System Dynamics of Covid-19 in Emergency Medical Services

    Exploring the System Dynamics of Covid-19 in Emergency Medical Services by Ali, Muhammad

    Published 2022
    “…The predictive analysis yielded a model of response times for emergency missions through machine learning, specifically using a random forest algorithm. …”
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  15. 215
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…This research develops an integrated scheduler and space planner, MoveSchedule, that adjusts an initial project schedule to comply with site space limitations in the process of accommodating resource space needs as they change over time. …”
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  16. 216
    Improving Rule Set Based Software Quality Prediction

    Improving Rule Set Based Software Quality Prediction by Azar, Danielle

    Published 2003
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  17. 217
    Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters

    Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters by Farhan, Abid

    Published 2021
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  18. 218
    Tuning of AGC of interconnected reheat thermal systems with geneticalgorithms

    Tuning of AGC of interconnected reheat thermal systems with geneticalgorithms by Abdel-Magid, Y.L.

    Published 1995
    “…A digital simulation is used in conjunction with the genetic algorithm optimization process. The integral of the square of the error and the integral of time-multiplied absolute value of the error performance indices are considered in the search for the optimal AGC parameters. …”
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  19. 219
    Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants

    Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants by Shafiq, M.

    Published 2006
    “…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …”
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  20. 220
    Performance Prediction Using Classification

    Performance Prediction Using Classification by MOOLIYIL, GITA

    Published 2019
    “…Principal component analysis and feature selection by weights using information gain ratio, Gini index, correlation and PCA is used to determine the relevant predictors of the datasets used. This study also addresses gaps in the current available literature on performance prediction, such as data imbalance and the use of Ensemble models. …”
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