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Showing 61 - 80 results of 121 for search '(( elements method algorithm ) OR ((( data component algorithm ) OR ( data would algorithm ))))', query time: 0.10s Refine Results
  1. 61
    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
    “…Adopting a random selection strategy would entail substantial problems due to the heterogeneity in terms of data quality, and computational and communication resources across the participants. …”
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  2. 62
    Can AI Help in Screening Viral and COVID-19 Pneumonia?

    Can AI Help in Screening Viral and COVID-19 Pneumonia? by Muhammad E. H. Chowdhury (14150526)

    Published 2020
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  3. 63
    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects

    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    Published 2021
    “…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”
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  4. 64
    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review by Francisco Monteiro-Guerra (16864122)

    Published 2019
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  5. 65
    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System by Alkhatib, Osama

    Published 2019
    “…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. …”
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  6. 66
    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions

    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
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  7. 67
    Improving INS/GPS Integration for Mobile Robotics Applications

    Improving INS/GPS Integration for Mobile Robotics Applications by AbuHashim, Tariq Salman

    Published 2008
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  8. 68
    Communications in electronic textile systems

    Communications in electronic textile systems by Nakad, Z.

    Published 2017
    “…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
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  9. 69
    Edge intelligence for network intrusion prevention in IoT ecosystem

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura, Habiba

    Published 2023
    “…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
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  10. 70
    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) by Kouatli, Issam

    Published 2015
    “…Genetic Algorithm would be used to optimize the performance of the system.…”
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  11. 71
    Soft Sensor for NOx Emission using Dynamical Neural Network

    Soft Sensor for NOx Emission using Dynamical Neural Network by Shakil, M.

    Published 2020
    “…Neural network model is trained using real data logs of an industrial boiler. Principal Component Analysis (PCA) is used to reduce number of input variables. …”
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  12. 72
    Edge intelligence for network intrusion prevention in IoT ecosystem

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura Habiba (17808302)

    Published 2023
    “…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
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  13. 73
    Phased Array Technique for Brain Source Localization

    Phased Array Technique for Brain Source Localization by Zarghami, Tahereh

    Published 2012
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  14. 74
    Geographical Area Network—Structural Health Monitoring Utility Computing Model

    Geographical Area Network—Structural Health Monitoring Utility Computing Model by Hasan Tariq (18131842)

    Published 2019
    “…Every gateway is routing the data to SHM-UCM servers running a geo-spatial patch health assessment and prediction algorithm. …”
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  15. 75
    Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry

    Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry by Issa, Leila

    Published 2016
    “…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …”
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  16. 76
    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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  17. 77
    Final exams scheduling for univeristies. (c2001)

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

    Published 2001
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  18. 78
    Inferential sensing techniques in industrial applications

    Inferential sensing techniques in industrial applications by Shakil,, Muhammad

    Published 0007
    “…Different types of dynamical neural networks are combined according to system operation and emission behavior. Real data from a boiler plant is used to develop the model. …”
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  19. 79
    Using machine learning for disease detection. (c2013)

    Using machine learning for disease detection. (c2013) by Jreij, Georges Antoun

    Published 2016
    “…Classification has three main components: the classification algorithm, the pre-classified data (training data) and the un-classified data (testing data). …”
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  20. 80
    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
    “…The proposed GFT mechanism can be applied to any decision making problem within an uncertain environment. One example would be the determination of CRM performance measurement given a variety of inputs related to marketing, data mining tools, ordered materials and communication.…”
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