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  1. 1
    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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  2. 2
    BIOLOGICAL INSPIRED INTRUSION PREVENTION AND SELF-HEALING SYSTEM FOR CRITICAL SERVICES NETWORK

    BIOLOGICAL INSPIRED INTRUSION PREVENTION AND SELF-HEALING SYSTEM FOR CRITICAL SERVICES NETWORK by MOHAMED AHMED ELSHEIK, MUNA ELSADIG

    Published 2011
    “…The design features of the proposed system are inspired by the human immune system, integrated with pattern recognition nonlinear classification algorithm and machine learning. …”
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  3. 3
    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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  4. 4
    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis

    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

    Published 2004
    “…From the simulation study for this particular case, we can conclude that Weibull distribution describes well the nature of the model concerned as compared to the exponential distribution in terms of the mean value of parameter estimates, bias, and the root means square error. Plots of survival distribution function against failure time are used to examine the predicted survival patterns for the two types of failures. …”
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  5. 5
    Predicting Breast Cancer Intelligently with Machine Learning Techniques

    Predicting Breast Cancer Intelligently with Machine Learning Techniques by Manimozhi, I., Laksmi, D.

    Published 2026
    “…The proposed system integrates clinical, imaging, and diagnostic datasets to identify patterns associated with benign and malignant tumours. …”
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  6. 6
    Early Detection of Breast Cancer with Microcalcifications on Mammography Using Deep Learning

    Early Detection of Breast Cancer with Microcalcifications on Mammography Using Deep Learning by Ibrahim, Ashraf Osman, Abuharaz, Hafia Mamoun Ismail, Saleh, Mohammed A, Alharith, Razan

    Published 2025
    “…This paper develops a deep convolutional neural network (CNN) model to increase the detection and classification accuracy of microcalcifications (MCs) in mammographic images. …”
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  7. 7
    Molecular characterisation of beta thalassaemia in patients from Sabah, Malaysia

    Molecular characterisation of beta thalassaemia in patients from Sabah, Malaysia by Teh, Lai Kuan

    Published 2014
    “…The objective for this study is to characterise the molecular spectrum in Sabah population through β- and α-globin gene genotyping, identifying XmnI Gγ-polymorphism, haplotyping for β-globin gene cluster and to develop an ideal diagnostic algorithm and tools which is suitable for this population. …”
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  8. 8
    Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification

    Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification by Ahmad, Fadzil

    Published 2017
    “…Thirdly, three new variations of elitism scheme namely Best Among Normal and Improved Population (BANI), Best Between Similar Rank (BBSR) and Equally Contributed (EQ) are developed. It involves competition among best individuals from normal and improved population to ensure survival in the next generation. …”
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  9. 9
    Development of a simulation-based decision support model for high precision component manufacturer

    Development of a simulation-based decision support model for high precision component manufacturer by Gan, Sin Yi

    Published 2013
    “…The developed model shows that the company underestimated the cost of the customer orders. …”
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