Showing 101 - 120 results of 131 for search '(( element data algorithm ) OR ((( data scheduling algorithm ) OR ( data mining algorithm ))))', query time: 0.11s Refine Results
  1. 101
  2. 102

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Simulation results reveal that our solution outperforms the two common scheduling algorithms (i.e., Min-Min and Max-Min) in terms of IoT services execution makespan, fog nodes resource utilization efficiency and execution time.…”
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    masterThesis
  3. 103
  4. 104

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

    Published 2016
    “…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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    article
  5. 105

    RFID localization using single reader antenna. (c2014) by Msheik, Hamze

    Published 2016
    “…In this work we will justify the proposed Localization scheme analytically and provide numerical and experimental data to substantiate our methodology.…”
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    masterThesis
  6. 106

    A hybrid approach for XML similarity by Tekli, Joe

    Published 2007
    “…Various algorithms for comparing hierarchically structured data, e.g. …”
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    conferenceObject
  7. 107

    Dataset built for Arabic Sentiment Analysis by AL MUKHAITI, AYESHA JUMAA SALEM

    Published 2016
    “…Key stages of the framework takes three dimensions. We followed an Algorithm which involves Data Acquisition stage, Filtering Stage and Annotation Stage. …”
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  8. 108

    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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    article
  9. 109
  10. 110

    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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  13. 113

    Uplink Noma in UAV-Assisted IoT Networks by Mrad, Ali

    Published 2022
    “…The first part of the thesis considers the problem of data collection from time-constrained IoT devices through deploying a UAV with uplink NOMA. …”
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    masterThesis
  14. 114

    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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  15. 115

    Performance Prediction Using Classification by MOOLIYIL, GITA

    Published 2019
    “…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …”
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  16. 116

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection by Abu Zitar, Raed

    Published 2022
    “…In this paper, an enhanced binary version of the Rat Swarm Optimizer (RSO) is proposed to deal with Feature Selection (FS) problems. FS is an important data reduction step in data mining which finds the most representative features from the entire data. …”
  17. 117

    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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  18. 118
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    LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

    Published 2022
    “…Currently, it is difficult to classify cancers using microarray data. Nearly many data mining techniques have failed because of the small sample size, which has become more critical for organizations. …”