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  1. 1
    Interactive framework for dynamic modelling and active vibration control of flexible structures

    Interactive framework for dynamic modelling and active vibration control of flexible structures by Mat Darus, Intan Zaurah, Mohd. Hashim, Siti Zaiton, Tokhi, M. O.

    Published 2008
    “…The design and implementation of the interactive learning system incorporating the simulation algorithms, modelling and control strategies, are developed using MATLAB. …”
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  2. 2
    Fast and efficient sequential learning algorithms using direct-link RBF networks

    Fast and efficient sequential learning algorithms using direct-link RBF networks by Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George

    Published 2003
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  3. 3
    Visualization Tool for Pathfinding Algorithms

    Visualization Tool for Pathfinding Algorithms by Mathias Sam, Francis

    Published 2023
    “…By incorporating interactive features and step-by-step animations of popular pathfinding algorithms, the tool empowers students to actively engage in the learning process and experiment with different algorithmic approaches. …”
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    Final Year Project Report / IMRAD
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  4. 4
    Autism Spectrum Disorder Classification Using Deep Learning

    Autism Spectrum Disorder Classification Using Deep Learning by Abdulrazak Yahya, Saleh, Lim Huey, Chern

    Published 2021
    “…Recently, deep learning methods have significantly sharpened the cutting edge of learning algorithms in a wide range of artificial intelligence tasks. …”
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  5. 5
    Comparative study of machine learning algorithms in data classification

    Comparative study of machine learning algorithms in data classification by Tan, Kai Jun

    Published 2025
    “…This research conducts a comparative study of various machine learning algorithms for dataset classification to identify the most accurate and reliable classifier. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications

    An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications by Cheng, Jian Lin, Chih, Feng Wu, Hsueh, Yi Lin, Cheng, Yi Yu

    Published 2015
    “…The traditional differential evolution (DE) method easily gets trapped in a local optimum during the learning process, but the proposed fuzzy differential evolution algorithm can overcome this shortcoming. …”
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  7. 7
    Gender classification based on asian faces using deep learning

    Gender classification based on asian faces using deep learning by Janahiraman T.V., Subramaniam P.

    Published 2023
    “…Face recognition; Human computer interaction; Image classification; Learning algorithms; Natural language processing systems; Neural networks; Speech recognition; Systems engineering; Convolutional neural network; Gender classification; Learning architectures; Learning frameworks; NAtural language processing; Recognition accuracy; Recognition process; TensorFlow; Deep learning…”
    Conference Paper
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  8. 8
    A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan

    A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan by Kesavan , Krishnan

    Published 2024
    “…Meanwhile, in the past decade, the use of haptic technology in autism has increased in terms of various disciplines that can assist in improving their learning skills. Nevertheless, the use of haptic technology in terms of spatial learning is still not fully utilized, and this weakens autistic people in the process of learning about their surroundings. …”
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  9. 9
    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing

    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

    Published 2015
    “…In doing so, this paper reviews two existing parameter free optimization algorithms involving Teaching Learning Based Optimization (TLBO) and Fruitfly Optimization Algorithm (FOA) in an effort to promote their adoption for CIT.…”
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  10. 10
    Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms

    Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms by Hossain S.K.S., Ali S.S., Rushd S., Ayodele B.V., Cheng C.K.

    Published 2023
    “…Carbon nanotubes; Electrocatalysts; Electrooxidation; Forestry; Formic acid; Gaussian distribution; Learning algorithms; Palladium; Parameter estimation; Regression analysis; Support vector machines; Formic acid electrooxidation; Fuel cell application; Gaussian kernel functions; Gaussian process regression; Interaction effect; Machine learning algorithms; Performance; Process parameters; Regression trees; Support vector machine regressions; Sensitivity analysis…”
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  11. 11
    Particle swarm optimization with deep learning for human action recognition

    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…We infer that our approach helps improve the tracking stability and increases the robustness of the tracking process by an accuracy of 97.09 on the Stony Brook University interaction dataset, 98.02 on the High-level Human Interaction Recognition Challenge interaction dataset, 96.17 on the Weizmann dataset. …”
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  12. 12
    Machine learning model for performance prediction in mobile network management / Muhammad Hazim Wahid

    Machine learning model for performance prediction in mobile network management / Muhammad Hazim Wahid by Wahid, Muhammad Hazim

    Published 2022
    “…One of the major challenges when applying machine learning is to identify the best algorithm from a variety of algorithms to solve a problem. …”
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  13. 13
    Automated bilateral negotiation with incomplete information in the e-marketplace.

    Automated bilateral negotiation with incomplete information in the e-marketplace. by Jazayeriy, Hamid

    Published 2011
    “…The reason is that, SRT algorithm is sensitive to the accuracy of the learned preferences while MGT algorithm can generate Pareto-optimal offers even with an approximation of the learned preferences.…”
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  14. 14
    Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar

    Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar by Abu Bakar, Nordin (Prof. Madya Dr.)

    Published 2012
    “…Many algorithms have been applied to aid the assessment process. …”
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    Research Reports
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  15. 15
    The impact of virtual reality on programming algorithm courses on student learning outcomes

    The impact of virtual reality on programming algorithm courses on student learning outcomes by Dewi, Ika Parma, Ambiyar, Effendi, Hansi, Giatman, Muhammad, Hanafi, Hafizul Fahri, Ali, Siti Khadijah

    Published 2024
    “…This study aims to determine the impact of VR compared to traditional learning in improving student learning outcomes on programming algorithm materials. …”
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  16. 16
    User interface and interactivity design guidelines of algorithm visualization on mobile platform

    User interface and interactivity design guidelines of algorithm visualization on mobile platform by Supli, Ahmad Affandi

    Published 2019
    “…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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  17. 17
    Object based segmentation and analysis using deep learning algorithm for cats and dogs images

    Object based segmentation and analysis using deep learning algorithm for cats and dogs images by N.Rajandhiran, Shreevishal

    Published 2023
    “…The deep learning algorithm implemented is the Unet architecture and the Segnet architecture respectively. …”
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    Final Year Project / Dissertation / Thesis
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  18. 18
    My little learner : E-learning wonderland

    My little learner : E-learning wonderland by Teoh, Wei En

    Published 2025
    “…The app will also use adaptive learning algorithms to tailor the instructional material to each child's unique learning style and speed. …”
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  19. 19
    A comparative study of interactive segmentation with different number of strokes on complex images

    A comparative study of interactive segmentation with different number of strokes on complex images by Kok, Luong Goh, Giap, Weng Ng, Muzaffar Hamzah, Soo, See Chai

    Published 2020
    “…The most common user input type in interactive segmentation is using strokes. The different number of strokes are utilized in each different interactive segmentation algorithms. …”
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  20. 20
    A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images

    A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images by Goh, Kok Luong, Ng, Giap Weng, Muzaffar, Hamzah, Chai, Soo See

    Published 2020
    “…The most common user input type in interactive segmentation is using strokes. The different number of strokes are utilized in each different interactive segmentation algorithms. …”
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