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Showing 1 - 11 results of 11 for search '(((( data packing algorithm ) OR ( fold processing algorithm ))) OR ( elements would algorithm ))', query time: 0.10s Refine Results
  1. 1
    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption

    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption by Azadeh, Ali

    Published 2019
    “…Design/methodology/approach In the proposed approach, the parameter tuning process is performed on all parameters of genetic algorithm (GA), and the finest coefficients with minimum errors are identified. …”
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  2. 2
    Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)

    Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

    Published 2020
    “…The removal efficiencies in the proposed ENR-BP were four fold higher than the suspended growth process and in the same order of magnitude of 5-stage Bardenpho-MBBR. …”
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  3. 3
    Ensemble Deep Random Vector Functional Link Neural Network for Regression

    Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

    Published 2022
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  4. 4
    A Deployment Optimization Model for Wimax Base-Stations

    A Deployment Optimization Model for Wimax Base-Stations by Aboualmal, Abdulhadi Mahmoud

    Published 2011
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  5. 5
    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. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …”
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  6. 6
    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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  7. 7
    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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  8. 8
    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review

    Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review by Alaa Abd-alrazaq (17058018)

    Published 2022
    “…The most common validation techniques used in the included studies were k-fold cross-validation and training-test split validation. …”
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  9. 9
    Dynamic single node failure recovery in distributed storage systems

    Dynamic single node failure recovery in distributed storage systems by Itani, M.

    Published 2017
    “…We selected fractional repetition coding due to its simple repair mechanism that minimizes the repair and disk access bandwidths together with the property of un-coded repair process. To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …”
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  10. 10
    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment

    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment by Safak Bayram (16925975)

    Published 2022
    “…The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. Five cities with growing populations, namely San Clara, CA, Salt Lake City, UT, Raleigh, NC, Denver, CO, and Los Angeles, CA, are chosen as case studies. …”
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  11. 11
    LDSVM: Leukemia Cancer Classification Using Machine Learning

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

    Published 2022
    “…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”
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