Search Results - adaptive does difference ((estimation algorithm) OR (extraction algorithm))

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  1. 1
    A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal

    A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal by Aymen Taher , Ahmed al-Ashwal

    Published 2019
    “…The main contribution of this study is a classification model that can predict new classes and incrementally over time improve the accuracy of different food classes. By evaluating the model on food dataset FOOD101, extracting of features take 80.23 seconds and classifying and training of incremental algorithm take 1253.36 seconds with 77.72% test accuracy. …”
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    Thesis
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  2. 2
    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.

    LASSO-type estimations for threshold autoregressive and heteroscedastic time series models. by Muhammad Jaffri Mohd Nasir

    Published 2020
    “…Although the group LASSO has been applied previously for this model to estimate thresholds, we propose a slightly different definition of the group LASSO estimator for the reformulated SETAR model which does not penalize the first set of parameters. …”
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    UMK Etheses
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  3. 3
    State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm

    State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Blaabjerg F.

    Published 2023
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  4. 4
    A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim

    A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim by Ibrahim, Mohd Faisal

    Published 2017
    “…The results showed that the decision algorithm improves the measurement by 28% and the degraded transcoded video does not affect students' comprehension.…”
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  5. 5
    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network

    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network by Kantono, Kevin, How, Muhammad Syahmeer, Wang, Qian Janice

    Published 2022
    “…In a novel cross-disciplinary twist, we propose to adapt DOE approach to the optimisation of restaurant atmosphere. …”
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  6. 6
    Computational modeling of running biomechanics in amateur runners

    Computational modeling of running biomechanics in amateur runners by Teh, Yew Wei

    Published 2024
    “…Thus, in this case, the computational time does become the key factor in evaluating them, where Inverse Kinematics (IK) was the best performed in simulating the knee and ankle joint moments in running motion under different types of hardness shoe cushioning, then followed by RRA and MocoTrack, which had the longest computational time respectively. …”
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    Final Year Project / Dissertation / Thesis
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  7. 7
    Shared mental model as an enabler of Malaysia waqf land development

    Shared mental model as an enabler of Malaysia waqf land development by Ismail, Nur Azlin, Omar, Ismail, Abu Bakar, Mohamad Noor Ropiah, Suhaili, Nur Aqidah, Hussin, Rohayati

    Published 2017
    “…The study aims to understand on how does the interaction and adaptability were applied among the members.in positioning themselves in the WSA development team. …”
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    Conference or Workshop Item
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  8. 8
    An improved streamflow model with climate and land use factors for Hulu Langat Basin

    An improved streamflow model with climate and land use factors for Hulu Langat Basin by Falamarzi, Yashar

    Published 2014
    “…Kirchner (JWK) method was modified and the modified model (MJWK) was then combined with the Soil Conservation Service (SCS) effective rainfall estimation method (MJWK-SCS model) to estimate river flow. …”
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