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  1. 1
    Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive

    Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive by Hannan M.A., Ali J.A., Mohamed A., Amirulddin U.A.U., Tan N.M.L., Uddin M.N.

    Published 2023
    Conference Paper
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  2. 2
    An adaptive HMM based approach for improving e-Learning methods

    An adaptive HMM based approach for improving e-Learning methods by Deeb B., Hassan Z., Beseiso M.

    Published 2023
    “…These users may have varying Visual, Auditory and Kinesthetic (VAK) oriented learning curves based on their mental abilities and these individual curves may also change during the course of education. …”
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  3. 3
    Study of machine learning in computer vision using Raspberry Pi

    Study of machine learning in computer vision using Raspberry Pi by Chong, Kah Luo

    Published 2024
    text::Final Year Project
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  4. 4
    Adaptive Non-Stationary Cardiac Signals Identification using an Augmented MLP Network

    Adaptive Non-Stationary Cardiac Signals Identification using an Augmented MLP Network by Asirvadam , Vijanth Sagayan, McLoone, Sean

    Published 2007
    “…Recursive hybrid training techniques is the choice to consider when learning a non-stationary system which changes for a given prescribed range. …”
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    Conference or Workshop Item
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  5. 5
    Dynamic force-directed graph with weighted nodes for scholar network visualization

    Dynamic force-directed graph with weighted nodes for scholar network visualization by Mohd. Aris, Khalid Al-Walid, Ramasamy, Chitra, Mohd Aris, Teh Noranis, Zolkepli, Maslina

    Published 2022
    “…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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  6. 6
    An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach

    An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach by Khan, T., Singh, K., Shariq, M., Ahmad, K., Savita, K.S., Ahmadian, A., Salahshour, S., Conti, M.

    Published 2023
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  7. 7
    High Accuracy Estimation Of Head Yaw Using Bounding Box Algorithm On A Vision Based System

    High Accuracy Estimation Of Head Yaw Using Bounding Box Algorithm On A Vision Based System by Tarmizi, Aine Ilina

    Published 2020
    “…From the video input of the camera, the changes in head yaw angle (orientation) incur changes in the bounding box location, width and area. …”
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  8. 8
    Exploring Text Recognition Segmentation and Detection in Natural Scene Images

    Exploring Text Recognition Segmentation and Detection in Natural Scene Images by Wydyanto, ., Maria, Ulfa

    Published 2024
    “…There is additional discussion of the difficulties of managing changes in text properties such as font type, size, orientation, and noise and occlusion disruptions. …”
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  9. 9
    Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider

    Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider by Omer Fadlelmola Elkhider, Samih

    Published 2011
    “…The studies show beyond technical algorithms, physical aspects plays a big rule in client server model. …”
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  10. 10
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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  11. 11
    Ensemble learning using multi-objective optimisation for arabic handwritten words

    Ensemble learning using multi-objective optimisation for arabic handwritten words by Ghadhban, Haitham Qutaiba

    Published 2021
    “…Multi-Objective Ensemble Oriented (MOEO) formulated to control the classifier topology and provide feedback support for changing the classifiers' topology and weights based on the extension of Non-dominated Sorting Genetic Algorithm (NSGA-II). …”
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  12. 12
    Immersive AR pet game with hand motion

    Immersive AR pet game with hand motion by Chong, Jing Voon

    Published 2023
    “…ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. …”
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    Final Year Project / Dissertation / Thesis
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  13. 13
    Sarcasm detection model based on tweets’ strength using hashtags and non-hashtags sentiment analysis

    Sarcasm detection model based on tweets’ strength using hashtags and non-hashtags sentiment analysis by Nadali, Samaneh

    Published 2016
    “…For the former task, the authors of the work have presented a novel bootstrapping algorithm that automatically learns a list of positive sentiment phrases and negative situation phrases from sarcastic tweets. …”
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  14. 14
    Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.

    Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models. by Kwad, Ayad Mahmood

    Published 2022
    “…This research introduces a developed method for online system identification based on the Hammerstein and Wiener nonlinear block-oriented structure with the artificial neural networks (NN) advantages and recursive weighted least squares algorithm for optimizing neural network learning in real-time. …”
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  15. 15
    Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process

    Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process by Kong, Hong Shim

    Published 2008
    “…The developed neural-fuzzy model should be further considered in a wider range of real-world machining processes for learning and prescribing knowledge.…”
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  16. 16
    Structural crack detection using deep convolutional neural network / Raza Ali

    Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

    Published 2022
    “…Thanks to the advancement in hardware, data collection procedures, and efficient algorithms. These innovations have changed the way how specific problems are solved as compared to conventional methods. …”
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