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  1. 1
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…In conclusion, SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics can be used as models selection algorithms. Additionally, both algorithms are suitable in improving performance of automated models selection procedures. …”
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  2. 2
    Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri

    Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri by Milad , Miri

    Published 2018
    “…Algorithms developed for face recognition are tightly related to the rate of extracted face features. …”
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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 efficient t-way test data generation algorithm and execution strategies

    Development of efficient t-way test data generation algorithm and execution strategies by Khandakar Fazley, Rabbi

    Published 2012
    “…In current practice, usually the test-data are selected and executed randomly. Many useful strategies (2-Way and TWay sampling) were developed to generate test-data and facilitate smooth testing process. …”
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  5. 5
    Predicting the maturity and organic richness using artificial neural networks (ANNs): A case study of Montney Formation, NE British Columbia, Canada

    Predicting the maturity and organic richness using artificial neural networks (ANNs): A case study of Montney Formation, NE British Columbia, Canada by Barham A., Ismail M.S., Hermana M., Padmanabhan E., Baashar Y., Sabir O.

    Published 2023
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  6. 6
    Quantitative spasticity assessment model of neurological disorder patients / AA Puzi … [et al.]

    Quantitative spasticity assessment model of neurological disorder patients / AA Puzi … [et al.] by Ahmad Puzi, Asmarani, Aliff-Imran, M.D., Zainuddin, Ahmad Anwar, Basri, Atikah Balqis, Mohd Khairuddin, Ismail

    Published 2023
    “…The cues from the MMG signals pattern will be used to select the sampling features for the development of the classification algorithm model. …”
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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
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  8. 8
    Predicting the maturity and organic richness using artificial neural networks (ANNs): A case study of Montney Formation, NE British Columbia, Canada

    Predicting the maturity and organic richness using artificial neural networks (ANNs): A case study of Montney Formation, NE British Columbia, Canada by Barham, A., Ismail, M.S., Hermana, M., Padmanabhan, E., Baashar, Y., Sabir, O.

    Published 2021
    “…The testing and validation of the ANN models were carried out on 2 wells that were randomly selected with the same log dataset, but not involved in the main training and testing processes. …”
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  9. 9
    Development and characterization of parenteral nano-delivery system loaded with azithromycin

    Development and characterization of parenteral nano-delivery system loaded with azithromycin by Daood, Ghaidaa S

    Published 2016
    “…With the aim of brain targeting, AZO-loaded nanoemulsions were developed utilizing high pressure homogenization with a homogenization pressure of 1000 bar for 8 cycles. …”
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