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  1. 1
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
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  2. 2
    Development of job matching algorithm with collective learning

    Development of job matching algorithm with collective learning by Cheng, Kam Ching

    Published 2013
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    Final Year Project / Dissertation / Thesis
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  3. 3
    Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference

    Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

    Published 2021
    “…Fundamentally, a stereo matching algorithm produces a disparity map or depth map. …”
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  4. 4
    Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis

    Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis by Adnani, Seyedeh Atena

    Published 2011
    “…Various feedforward neural networks were performed using different learning algorithms. The best algorithm was found to be Levenberg–Marquardt (LM) for a network composed of two hidden layers with six and seven neurons in the first and second layers, respectively for xylitol stearate and xylitol palmitate and also seven and five neurons in the first and second layers for xylitol caprate, with hyperbolic tangent sigmoid transfer function. …”
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  5. 5
    A new function of stereo matching algorithm based on hybrid convolutional neural network

    A new function of stereo matching algorithm based on hybrid convolutional neural network by Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Abd Gani, Shamsul Fakhar, Herman, Adi Irwan

    Published 2022
    “…This paper proposes a new hybrid method between the learning-based and handcrafted methods for a stereo matching algorithm. …”
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  6. 6
    Using Pattern Matching technique for feature recognition of STEP file

    Using Pattern Matching technique for feature recognition of STEP file by Nik Norhazlina Nik Hassan

    Published 2008
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    Learning Object
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  7. 7
    A new text-based w-distance metric to find the perfect match between words

    A new text-based w-distance metric to find the perfect match between words by Ali, M., Jung, L.T., Hosam, O., Wagan, A.A., Shah, R.A., Khayyat, M.

    Published 2020
    “…The k-NN algorithm is an instance-based learning algorithm which is widely used in the data mining applications. …”
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  8. 8
    Comparison between Lamarckian Evolution and Baldwin Evolution of neural network

    Comparison between Lamarckian Evolution and Baldwin Evolution of neural network by Taha, Imad, Inazy, Qabas

    Published 2006
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  9. 9
    Converged Classification Network For Matching Cost Computation

    Converged Classification Network For Matching Cost Computation by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

    Published 2020
    “…This map is crucial for many applications such as 3D reconstruction, robotics and autonomous driving.The disparity map also prone to errors such as noises in the region which contains object occlusions, reflective regions, and repetitive patterns.So we propose this stereo matching algorithm to produce a disparity map and to reduce the errors by incorporating a deep learning approach. …”
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  10. 10
    Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm

    Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm by Ashraf, Erum

    Published 2023
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  11. 11
    Stereo matching algorithm using deep learning and edge-preserving filter for machine vision

    Stereo matching algorithm using deep learning and edge-preserving filter for machine vision by Abd Gani, Shamsul Fakhar, Miskon, Muhammad Fahmi, Hamzah, Rostam Affendi, Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Herman, Adi Irwan

    Published 2024
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  12. 12
    Implementing case-based reasoning approach to framework documentation

    Implementing case-based reasoning approach to framework documentation by Hajar M.J., Lee S.P.

    Published 2023
    “…During the "revise" and "retain" steps of the CBR, Knuth-Morris-Pratt (KMP) pattern matching algorithm is applied. � 2008 IEEE.…”
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  13. 13
    Automatic email classification system / Phang Siew Ting

    Automatic email classification system / Phang Siew Ting by Phang , Siew Ting

    Published 2003
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    Thesis
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  14. 14
    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations

    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations by Hossain, S.K.S., Ayodele, B.V., Alhulaybi, Z.A., Alwi, M.M.A.

    Published 2022
    “…The RBFNN model with softmax as the hidden layer activation function and identity as the outer layer activation function has the least predictive performance, as indicated by an R2 of 0.403 and a RMSE of 301.55. …”
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  15. 15
    Face recognition for remote database backup system

    Face recognition for remote database backup system by Mohamed Din, Aniza, Ahmad, Faudziah, Mohamad Mohsin, Mohamad Farhan, Ku-Mahamud, Ku Ruhana, Theab, Mustafa Muwafak

    Published 2011
    “…Neural Networks technique, specifically Multilayer Perceptron (MLP) model with Back-Propagation learning algorithm and Template Matching approach are implemented in model developed.The face recognition model developed is then applied on a remote database backup system.Template matching approach is found to give a higher percentage of matching accuracy and a faster result can be obtained compared to MLP as no learning process is required…”
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    Conference or Workshop Item
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  16. 16
    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement

    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement by Abdul Rahman, Nor Farahaida

    Published 2016
    “…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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  17. 17
    Refining disparity maps using deep learning and edge-aware smoothing filter

    Refining disparity maps using deep learning and edge-aware smoothing filter by Abd Gani, Shamsul Fakhar, Miskon, Muhammad Fahmi, Hamzah, Rostam Affendi, Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Herman, Adi Irwan

    Published 2024
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  18. 18
    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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  19. 19
    Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation

    Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation by Mehrkanoon, S., Moghavvemi, M., Fariborzi, H.

    Published 2007
    “…The time variant mixing matrix based on random vector with time variable elements are made. Several simulations obtain optimum results of implemented algorithm. …”
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  20. 20
    Static hand sign recognition using linear projection methods

    Static hand sign recognition using linear projection methods by Gamage, Nuwan, Chow, Kuang Ye, Akmeliawati, Rini

    Published 2000
    “…Successful shape matching algorithms/ methods has a high potential for a wide variety of practical applications. …”
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    Proceeding Paper
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