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  1. 1
    The development of deformable bodies collision response algorithm for interactive virtual environment

    The development of deformable bodies collision response algorithm for interactive virtual environment by Mohd. Shuaib, Norhaida, Bade, Abdullah, Daman, Daut, Sunar, Mohd. Shahrizal

    Published 2006
    “…It is an optimization algorithm that selects small areas for deformation processing based on equilibrium state. …”
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    Monograph
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  2. 2
    Arabic Text Clustering Methods And Suggested Solutions For Theme-based Quran Clustering: Analysis Of Literature

    Arabic Text Clustering Methods And Suggested Solutions For Theme-based Quran Clustering: Analysis Of Literature by Qusay Bsoul, Jaffar Atwan, Rosalina Abdul Salam, Malik Jawarneh

    Published 2024
    journal::journal article
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  3. 3
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  4. 4
    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory

    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

    Published 2011
    “…Moreover, most of the memory test algorithm does not have the capability to detect and diagnose NPSF. …”
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    Thesis
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  5. 5
    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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  6. 6
    Inverse problem in image processing: Image restoration

    Inverse problem in image processing: Image restoration by Wong, Yen Khai

    Published 2023
    “…It is worth noting that DIP does not require heavy training on massive datasets to achieve the performance that DL models possess. …”
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    Final Year Project / Dissertation / Thesis
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  7. 7
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  8. 8
    Multi-user mmWave MIMO channel estimation with hybrid Beamforming over frequency selective fading channels

    Multi-user mmWave MIMO channel estimation with hybrid Beamforming over frequency selective fading channels by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Ain, Mohd Fadzil, Abdul Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

    Published 2020
    “…Simulation results show that the proposed algorithm is effective and offer a better CE performance in terms of MSE when compared to the generalized block orthogonal matching pursuit (G-BOMP) algorithm that does not possess a pruning step.…”
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  9. 9
    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin

    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin by Ong, Chung Sin

    Published 2013
    “…Reduction of the search space does not guarantee the optimal solution will be found. …”
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  10. 10
    Evolving fuzzy grammar for crime texts categorization

    Evolving fuzzy grammar for crime texts categorization by Mohd Sharef, Nurfadhlina, Martin, Trevor

    Published 2015
    “…Furthermore, retraining the model is not usually practical and feasible option whenever there is continuous change. …”
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  11. 11
    Frame selection based on modified entropy and object motion for secured data hiding in videos

    Frame selection based on modified entropy and object motion for secured data hiding in videos by Muhammad Fuad, Abdullah

    Published 2021
    “…The existing hiding messages focus on the imperceptibility and payload of hidden messages. In practice, the hidden message does not require a large amount of bits. …”
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  12. 12
    An efficient anomaly intrusion detection method with evolutionary neural network

    An efficient anomaly intrusion detection method with evolutionary neural network by Sarvari, Samira

    Published 2020
    “…Among these techniques, Artificial Neural Network-Multilayer Perceptron (ANN-MLP) is one of the significant used techniques that has been successful in solving many complex practical problems. However, ANN-MLP without activation function would simply be a linear regression model which has limitation and does not perform well most of the times. …”
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  13. 13
    A new model of application response time for VoIP over WLAN and fixed WiMAX

    A new model of application response time for VoIP over WLAN and fixed WiMAX by Nisar, K., Hijazi, M.H.A., Lawal, I.A.

    Published 2015
    “…The model was simulated in the OPNET modeler (16.0) with Multiple Access Points (APs), Base Stations (BSs)as well as mobile devices, Subscribers Stations (SSs), and some server BSs that were selected based on Nearest Neighborhood Algorithm and Orthogonal Frequency Division Multiplexing (OFDM) techniques. …”
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    Conference or Workshop Item
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  14. 14
    Comparison of surface roughness in end milling of titanium alloy Ti-6Al-4V using uncoated WC-Co and PCD inserts through generation of models

    Comparison of surface roughness in end milling of titanium alloy Ti-6Al-4V using uncoated WC-Co and PCD inserts through generation of models by Ginta, Turnad Lenggo, Amin, A. K. M. Nurul, Ishtiyaq, M. H.

    Published 2011
    “…They developed contours to select a combination of cutting speed, and feed without increasing the surface roughness. …”
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  15. 15
    Advancing industrial building energy measurement and verification (M&V) with deep learning: Evaluating data size and feature selection impact

    Advancing industrial building energy measurement and verification (M&V) with deep learning: Evaluating data size and feature selection impact by Sukarti, Suziee, Sulaima, Mohamad Fani, Abdul Kadir, Aida Fazliana, Shamsor, Muhamad Hafizul, Siaw, Wei Yao

    Published 2024
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