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Showing 41 - 60 results of 69 for search '(( element data algorithm ) OR ((( based would algorithm ) OR ( neural coding algorithm ))))', query time: 0.11s Refine Results
  1. 41
    Optimizing clopidogrel dose response

    Optimizing clopidogrel dose response by Saab, Yolande B.

    Published 2016
    “…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …”
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  2. 42
    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs

    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs by Kouatli, Issam

    Published 2008
    “…This would allow an initial sinusoidal fuzzy set shape. …”
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  3. 43
    Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure

    Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure by Kouatli, Issam

    Published 2014
    “…Multivariable structure of any fuzzy rule based system would add complexity when modeling the behavior of the system. …”
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  4. 44
    Final exams scheduling for univeristies. (c2001)

    Final exams scheduling for univeristies. (c2001) by Timany, Mazen Nuhad

    Published 2001
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  5. 45
    A hybrid approach for XML similarity

    A hybrid approach for XML similarity by Tekli, Joe

    Published 2007
    “…Various algorithms for comparing hierarchically structured data, e.g. …”
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  6. 46
    On the complexity of multi-parameterized cluster editing

    On the complexity of multi-parameterized cluster editing by Abu-Khzam, Faisal

    Published 2017
    “…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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  7. 47
    Phased Array Technique for Brain Source Localization

    Phased Array Technique for Brain Source Localization by Zarghami, Tahereh

    Published 2012
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  8. 48
    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study

    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

    Published 2022
    “…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …”
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  9. 49
    Estimating Bridge Deterioration Age Using Artificial Neural Networks

    Estimating Bridge Deterioration Age Using Artificial Neural Networks by AL HUSSEIN, ASEEL

    Published 2017
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  10. 50
    Cooperative clustering models for Vehicular ad hoc networks. (c2013)

    Cooperative clustering models for Vehicular ad hoc networks. (c2013) by Abdel Wahab, Omar Mohammad

    Published 2013
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  11. 51
    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. 52
    Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol

    Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol by Santiago Hors-Fraile (5950823)

    Published 2018
    “…Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items—for instance, motivational messages aimed at smoking cessation—for each user based on his or her profile. …”
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  13. 53
    Oversampling techniques for imbalanced data in regression

    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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  14. 54
    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory

    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory by Wehbi, Osama

    Published 2022
    “…However, selecting the participants that would contribute to this collaborative training is highly challenging. …”
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  15. 55
    Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier

    Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier by Syed Ali Jafar Zaidi (19563178)

    Published 2021
    “…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. …”
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  16. 56
    Heuristics. (c2006)

    Heuristics. (c2006) by Kallab, Chadi

    Published 2006
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  17. 57
    Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications

    Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications by Estahbanati, Shahabeddin Vamegh

    Published 2017
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  18. 58
    Face Flow: Constrained Optical Flow Framework for Faces

    Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

    Published 2020
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  19. 59
    Structural similarity evaluation between XML documents and DTDs

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …”
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  20. 60
    Virtual topologies for massively parallel computations. (c2015)

    Virtual topologies for massively parallel computations. (c2015) by Jahed, Karim A.

    Published 2015
    “…Massively parallel computations that are based on such algorithms often suffer from a large communication overhead due to the exponential growth in the number of tasks generated at each search-tree level. …”
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