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Showing 521 - 540 results of 625 for search '(((( data tracking algorithm ) OR ( problem using algorithm ))) OR ( elements method algorithm ))', query time: 0.12s Refine Results
  1. 521
    Implementation of trust region methods in optimization. (c1998)

    Implementation of trust region methods in optimization. (c1998) by Hajj, Mohammed Omar

    Published 1998
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  2. 522
    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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  3. 523
    Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care

    Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care by Regina Padmanabhan (14231606)

    Published 2022
    “…Other highlights are (1) a novel set of easily available features for the prediction of the aforementioned clinical complications and (2) the use of data augmentation methods and model-scoring-based hyperparameter tuning to address the problem of class disproportionality, a common challenge in medical datasets and often the reason behind poor event prediction rate of various predictive models reported so far. …”
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  4. 524
    SDODV. (c2018)

    SDODV. (c2018) by Assi, Maram

    Published 2018
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  5. 525
    Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques

    Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques by Abd-El-Barr, Mostafa

    Published 2003
    “…We consider fault-tolerance to be an important network design aspect. We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …”
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  6. 526
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…This results in an unfair situation wherein the needs of one of the parties are ignored in the scheduling process. To address this problem, we propose in this paper a multi-criteria intelligent IoT scheduling approach in fog computing environments using matching game theory. …”
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  7. 527
    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management

    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management by Islam, Eljilany

    Published 2022
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  8. 528
    Dynamic multiple node failure recovery in distributed storage systems

    Dynamic multiple node failure recovery in distributed storage systems by Itani, May

    Published 2018
    “…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. …”
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  9. 529
    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management

    Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management by Islam Eljilany (14151588)

    Published 2023
    “…From the hospital's perspective, a cost-benefit analysis was conducted based on a 1-year decision-analytic follow-up model of the economic implications of using a pharmacogenetic algorithm vs standard of care in pre-operative warfarin management in the Hamad Medical Corporation, Qatar. …”
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  10. 530
    DAP: A dataset-agnostic predictor of neural network performance

    DAP: A dataset-agnostic predictor of neural network performance by Sui Paul Ang (18460605)

    Published 2024
    “…This task often must be repeated many times, especially when developing a new deep learning algorithm or performing a neural architecture search. …”
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  11. 531
    A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System

    A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System by Kouatli, Issam

    Published 2016
    “…This paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). …”
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  12. 532
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
    “…We allocate newcomers to nodes with minimal computations and without changing the original optimized plan. The problem is solved using genetic algorithms that search within the feasible solution space. …”
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  13. 533
    Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles

    Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles by Warren, Thomas

    Published 2000
    “…In the context of an analysis code, this approximation eliminates the need for discretizing the target as well as the need for a contact algorithm. Thus, this method substantially reduces the computer time and memory requirements. …”
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  14. 534
    Platoon Transitional Maneuver Control System: A Review

    Platoon Transitional Maneuver Control System: A Review by Sareh Badnava (16891374)

    Published 2021
    “…The most recent articles on platoon control maneuvers have been analyzed based on the proposed control algorithm, homogeneously or heterogeneously of platoon members, type of platoon maneuver, the aim of control problem, type of implementation, and used simulation tools. …”
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  15. 535
    KNNOR: An oversampling technique for imbalanced datasets

    KNNOR: An oversampling technique for imbalanced datasets by Ashhadul Islam (16869981)

    Published 2021
    “…To overcome these problems, this article proposes an advanced algorithm by studying the compactness and location of the minority class relative to other classes. …”
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  16. 536
    A Navigation and Control System for a Robot in Indoor/Outdoor Environments

    A Navigation and Control System for a Robot in Indoor/Outdoor Environments by Al Khatib, Ehab

    Published 2016
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  17. 537
    Iterative Least Squares Functional Networks Classifier

    Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

    Published 2007
    “…This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …”
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  18. 538
    Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing

    Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing by Mohammadreza Gholami (17032317)

    Published 2023
    “…To determine the optimized size, a firefly optimization algorithm is used as an efficient meta-heuristic approach. …”
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  19. 539
    Vibration suppression in a cantilever beam using a string-type vibration absorber

    Vibration suppression in a cantilever beam using a string-type vibration absorber by Issa, Jimmy S.

    Published 2017
    “…The string is rigidly connected to the fixed end of the beam and through a spring and damper to a second point on the beam. The finite element method is used to model the system and a reduced order model is obtained through modal reduction performed on both the string and the beam. …”
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  20. 540
    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations

    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations by Abbas, Nadine Fawaz

    Published 2017
    “…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …”
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