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  1. 1
    Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm

    Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm by Idris, Norisma, Baba, Mohd Sapiyan, Abdullah, Rukaini

    Published 2011
    “…We first analyzed experts' written summaries, extracted the strategies used in the summaries, formulated a set of heuristics rules to define the strategies and finally transformed the rules using position-based method into summary sentence decomposition algorithm (SSDA). …”
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  2. 2
    Efficient dynamic DNA-based block cipher algorithm

    Efficient dynamic DNA-based block cipher algorithm by Chng, Chern Wei

    Published 2023
    “…The utilisation of four sets of 4 x 4 S-Box structures contributes to the simplicity and stability of the S-Box construction. The proposed method involves utilising DNA-based components consisting of the nucleotides {A, T, G, C} to generate a novel Dynamic DNA-based S-Box. …”
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  3. 3
    Accuracy assessment of Digital Terrain Model (DTM) Constructed Cloth Simulation Filter (CSF) and Multi Curvature Classification (MCC) algorithm on UAV LiDAR dataset / Mohamad Khairan Mohd Asri

    Accuracy assessment of Digital Terrain Model (DTM) Constructed Cloth Simulation Filter (CSF) and Multi Curvature Classification (MCC) algorithm on UAV LiDAR dataset / Mohamad Khair... by Mohd Asri, Mohamad Khairan

    Published 2023
    “…Comparative analysis of software packages, including Global Mapper and CloudCompare, was conducted based on their processing methods and point cloud accuracy. The evaluation was carried out using qualitative and quantitative approaches, considering specific criteria tailored to each area's distinct land cover and slope characteristics. …”
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  4. 4
    Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri

    Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri by Pedram , Tabatabaeemoshiri

    Published 2025
    “…This study addresses the urgent issue of detecting hidden defects in semiconductor wafers that conventional methods overlook. This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. …”
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  5. 5
    Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm

    Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm by Chong, Kok Hen

    Published 2008
    “…The conventional digital circuit design method is based on Boolean algebra. There are no specific procedure to choose the right theorem or postulate for the Boolean expression simplification and it is very impractical to design the digital circuits that have more than four variable. …”
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  6. 6
    A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain

    A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain by Mohd Hussain, Mohd Najib

    Published 2016
    “…The signal from the sensor is then applied for power switching devices of the PO buck-boost converter by the attained maximum power point current from CoDID MPPT method. The system is constructed from model-based design (MBD) of the PV system. …”
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  7. 7
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Jubair, Mohammed Ahmed, Salama A. Mostafa, Salama A. Mostafa, Mustapha, Aida, MoSalamat, Mohamad Aizi, Hassan, Mustafa Hamid, Mohammed, Mazin Abed, Fahad Taha AL-Dhief, Fahad Taha AL-Dhief

    Published 2023
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  8. 8
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Mohammed Ahmed Jubair, Mohammed Ahmed Jubair, A. Mostafa, Salama, Mustapha, Aida, Salamat, Mohamad Aizi, Hassan, Mustafa Hamid, Abed Mohammed, Mazin, AL-Dhief, Fahad Taha

    Published 2023
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  9. 9
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Jubair, Mohammed Ahmed, A. Mostafa, Salama, Mustapha, Aida, Salamat, Mohamad Aizi, Hassan, Mustafa Hamid, Mohammed, Mazin Abed, Fahad Taha AL-Dhief, Fahad Taha AL-Dhief

    Published 2022
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  10. 10
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Ahmed Jubair, Mohammed, Mostafa, Salama A., Mustapha, Aida, Salamat, Mohamad Aizi, Hamid Hassan, Mustafa, Mohammed, Mazin Abed, AL-Dhief, Fahad Taha

    Published 2022
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  11. 11
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Jubair, Mohammed Ahmed, Mostafa, Salama A., Mustapha, Aida, Salamat, Mohamad Aizi, Hamid Hassan, Mustafa, Mohammed, Mazin Abed, AL-Dhief, Fahad Taha

    Published 2023
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  12. 12
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Jubair, Mohammed Ahmed, Mostafa2, Salama A., Mustapha, Aida, Salamat, Mohamad Aizi, Hassan, Mustafa Hamid, Mohammed, Mazin Abed, Taha AL-Dhief, Fahad

    Published 2022
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  13. 13
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Jubair, Mohammed Ahmed, A. Mostafa, Salama, Mustapha, Aida, Salamat, Mohamad Aizi, Hassan, Mustafa Hamid, Mohammed, Mazin Abed, AL-Dhief, Fahad Taha

    Published 2023
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  14. 14
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Jubair, Mohammed Ahmed, A. Mostaf, Salama, Mustapha, Aida, Salamat, Mohamad Aizi, Hassan, Mustafa Hamid, Mohammed, Mazin Abed, AL-Dhief, Fahad Taha

    Published 2023
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  15. 15
    Web service applications and consumer environments based on ICT-driven optimization

    Web service applications and consumer environments based on ICT-driven optimization by Fan, Chaozhi, Law, Siong Hook, Ibrahim, Saifuzzaman, Ahmad, Mohd Naseem

    Published 2022
    “…However, existing network embedding methods mostly target a specific structure of network and do not collaborate with multiple relational networks from the root. …”
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  16. 16
    Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi

    Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi by Abdul Hadi, Basharudin

    Published 2017
    “…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network 29 30 base of the specimen until the flow ceased..…”
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  17. 17
    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
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  18. 18
    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

    A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification by Mohammed Ahmed Jubair, Mohammed Ahmed Jubair, Salama A. Mostaf, Salama A. Mostaf, Aida Mustapha, Aida Mustapha, Mohamad Aizi Salamat, Mohamad Aizi Salamat, Mustafa Hamid Hassan, Mustafa Hamid Hassan, Mazin Abed Mohammed, Mazin Abed Mohammed, Fahad Taha AL-Dhief, Fahad Taha AL-Dhief

    Published 2023
    “…The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. …”
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  19. 19
    Malicious URL Detection with Distributed Representation and Deep Learning

    Malicious URL Detection with Distributed Representation and Deep Learning by Do N.Q., Selamat A., Lim K.C., Krejcar O.

    Published 2023
    Conference Paper
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  20. 20
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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