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  1. 1
    Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal

    Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…The Lecturer profile contains information lecturer teaching, research, publication and many more. We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload. …”
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  2. 2
    Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal

    Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hassan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…Lecturer workload at universities includes three major categories: teaching, research and services.Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design.The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets.The Lecturer profile contains information lecturer teaching, research, publication and many more.We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload.This method measures the lecturer teaching workload.The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset.Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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  3. 3
    Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan

    Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan by Aznan, Muhammad Nur Syazwanie Aznan

    Published 2019
    “…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. This project will use the rapid application development (RAD) methodology since this are the most suitable method for developing the system. …”
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  4. 4
    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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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  5. 5
    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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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  6. 6
    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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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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 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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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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 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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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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, 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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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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 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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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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, 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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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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 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. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. …”
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  13. 13
    Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid

    Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid by Gaeid, Khalaf Salloum

    Published 2012
    “…The motor features are extracted through the proposed Discrete Wavelet Transform (DWT) based analysis method, while the wavelet inlet acts as an expert tool to adapt the right controller in accordance with the fault type. …”
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  14. 14
    An adaptive face recognition under constrained environment for smartphone database

    An adaptive face recognition under constrained environment for smartphone database by Hassan, Noor Amjed

    Published 2018
    “…Finally, this study aims to obtain high-accuracy face recognition performance under the uncontrolled environment of a smartphone database based on the proposed adaptive face recognition method that combines two new face recognition algorithms. …”
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  15. 15
    Generalizations and Some Applications of Kronecker and Hadamard Products of Matrices

    Generalizations and Some Applications of Kronecker and Hadamard Products of Matrices by Mah'd Al Zhour, Zeyad Abdel Aziz

    Published 2006
    “…The analysis indicates that the Kronecker (Hadamard) structure method can achieve good efficient while the Hadamard structure method achieve more efficient when the unknown matrices are diagonal. …”
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  16. 16
    An evolutionary based features construction methods for data summarization approach

    An evolutionary based features construction methods for data summarization approach by Rayner Alfred, Suraya Alias, Chin, Kim On

    Published 2015
    “…In this work, we empirically compare the predictive accuracies of classification tasks based on the proposed feature construction methods and also the existing feature construction methods. …”
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  17. 17
    Diagnosis of diabetic retinopathy: Automatic extraction of optic disc and exudates from retinal images using Marker-controlled watershed transformation

    Diagnosis of diabetic retinopathy: Automatic extraction of optic disc and exudates from retinal images using Marker-controlled watershed transformation by Reza, A.W., Eswaran, C., Dimyati, K.

    Published 2010
    “…Due to increasing number of diabetic retinopathy cases, ophthalmologists are experiencing serious problem to automatically extract the features from the retinal images. …”
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  18. 18
    Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan

    Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan by Hasan, Haitham Sabah

    Published 2014
    “…In the first method, the hand contour is used as a feature which treats scaling and translation problems (in some cases). …”
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  19. 19
    Kadazandusun speech recognition: a case study

    Kadazandusun speech recognition: a case study by Samry @ Mohd Shamrie Sainin, Mohd Hanafie Haris

    Published 2021
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  20. 20
    Ant system-based feature set partitioning algorithm for classifier ensemble construction

    Ant system-based feature set partitioning algorithm for classifier ensemble construction by Abdullah, , Ku-Mahamud, Ku Ruhana

    Published 2016
    “…In this study, Ant system-based feature set partitioning algorithm for classifier ensemble construction is proposed.The Ant System Algorithm is used to form an optimal feature set partition of the original training set which represents the number of classifiers.Experiments were carried out to construct several homogeneous classifier ensembles using nearest mean classifier, naive Bayes classifier, k-nearest neighbor and linear discriminant analysis as base classifier and majority voting technique as combiner. …”
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