Search Results - adaptive does difference ((detection algorithm) OR (selection algorithm))

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  1. 1
    Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique

    Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique by Mharib, Ahmed M.

    Published 2007
    “…The model also based on the image segmentation using an automatic and adaptive multi-thresholding technique. This thesis shows that the Gaussian mixture model alone or the Gaussian single model does not improve the performance of the skin detection model due to the number of false detections for high correct classification. …”
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  2. 2
    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat by Naji Maqhat, Bakeel Hussein

    Published 2016
    “…In wireless local area network (WLAN), the primary concern is Quality of Service (QoS) support that aims to satisfy the diverse service requirements and to guarantee higher data rates allocation for different service classes. However, IEEE 802.1 In standard does not specify a scheduling algorithm to guarantee QoS. …”
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  3. 3
    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Published 2017
    “…In wireless local area network (WLAN), the primary concern is Quality of Service (QoS) support that aims to satisfy the diverse service requirements and to guarantee higher data rates allocation for different service classes. However, IEEE 802.11n standard does not specify a scheduling algorithm to guarantee QoS. …”
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    Book Section
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  4. 4
    Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm

    Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm by Taleghani, Hussein

    Published 2017
    “…One uses Standard Genetic Algorithm (SGA), the second strategy uses Improved Adaptive Genetic Algorithm (IAGA). …”
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  5. 5
    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
    “…A new algorithm of coordinate gradient descent (CGD) is developed to optimize the adaptive LASSO. …”
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    UMK Etheses
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  6. 6
    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
    “…First, a content negotiation and adaptation architecture was proposed to facilitate the process of identifying and detecting client device. …”
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  7. 7
    A new terminal sliding mode control for bridge cranes

    A new terminal sliding mode control for bridge cranes by Tianlei Wang, Ziyang Chen, Jinzhao Xu, Kenneth Teo Tze Kin, Zhaoming Zheng, Jingling Zhang, Hongmin Wang

    Published 2021
    “…Specifically, the bridge crane model is changed first, and then a suitable non-singular terminal sliding surface is selected. The adaptive rate is introduced in the design of the controller, so that the driving force is continuous and does not require information of system parameters. …”
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    Proceedings
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  8. 8
    A tool for addressing construct identity in literature reviews and meta-analyses

    A tool for addressing construct identity in literature reviews and meta-analyses by Larsen, Kai Rune T., Bong, Chih How

    Published 2016
    “…Through the adaptation and combination of different natural language processing (NLP) algorithms, six designs were created and evaluated against human expert decisions. …”
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  9. 9
    OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM

    OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM by Abang Ahmad Latif, Abang Sarbini

    Published 2023
    “…The adaptation of open-sourced simulation was selected for cost-effectiveness and possibilities of modification. …”
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    Final Year Project Report / IMRAD
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  10. 10
    Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier

    Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier by Talfur, Khasif Hussain

    Published 2018
    “…This leaves several critical questions unanswered due to black-box issue that does not reveal why certain metaheuristic algorithms performed better on some problems and not on others. …”
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  11. 11
    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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  12. 12
    Genetic algorithm based network coding in wireless ad hoc networks

    Genetic algorithm based network coding in wireless ad hoc networks by Tan, Shee Eng

    Published 2013
    “…In this work, an adaptive genetic algorithm based coding-aware routing (AGACAR) is also proposed to improve the solution on the GACAR. …”
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  13. 13
    Maass cusp form on asymmetric hyperbolic torus

    Maass cusp form on asymmetric hyperbolic torus by Shamsuddin, Nor Syazana

    Published 2017
    “…The computation of MCF is an adapted algorithm of Hejhal and Then, i.e. based on implicit automorphy and finite Fourier series. …”
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  14. 14
    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
    “…Lastly, the incremental learning algorithm ABACOC is used to classify each feature of food classes. …”
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