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  1. 1
    Enhancement of Single and Composite Images Based on Contourlet Transform Approach

    Enhancement of Single and Composite Images Based on Contourlet Transform Approach by Melkamu, Hunegnaw Asmare

    Published 2009
    “…Image enhancement is an imperative step in almost every image processing algorithms. Numerous image enhancement algorithms have been developed for gray scale images despite their absence in many applications lately. …”
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    Thesis
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  2. 2
    Inelastic analysis of composite sections

    Inelastic analysis of composite sections by Thanoon, Waleed Abdulmalik, M. Hamed, Ahmed M., Noorzaei, Jamaloddin, Jaafar, Mohd Saleh, Al-Silayvani, Bayar J.

    Published 2004
    “…This paper describes the development of a numerical algorithm used for the inelastic analysis of composite sections subjected to combined axial force and bending moment. …”
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  3. 3
    Hardware development of ultrasonics tomography for composition determination of water and oil flow

    Hardware development of ultrasonics tomography for composition determination of water and oil flow by Abdul Rahim, Ruzairi, Ng, Wei Nyap, Fazalul Rahiman, Mohd. Hafiz

    Published 2007
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  4. 4
    Real-time algorithmic music composition application.

    Real-time algorithmic music composition application. by Yap, Alisa Yi Hui

    Published 2022
    “…The developed system shall be able generated music based on a genetic algorithm, where users can define basic parameters including the instrument used to play the music, tempo, number of generated notes, and the number of measures to generate. …”
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  5. 5
    Application of genetic algorithm and JFugue in an evolutionary music generator

    Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

    Published 2025
    “…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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  6. 6
    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III

    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III by Liu, Jiajia, Zainudin, Edi Syams, As'arry, Azizan, Ismail, Mohd Idris Shah

    Published 2024
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  7. 7
    Development Of An Intelligent System For River Water Quality Classification Based On Algae Composition

    Development Of An Intelligent System For River Water Quality Classification Based On Algae Composition by Fong, Wai Mei

    Published 2006
    “…In this project, several neural networks will be developed and their performance are compared to yield the most suitable network that will be used to model the classification system for determination of river water quality based on algae composition. …”
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    Monograph
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  8. 8
    An Improved Algorithm for Prediction of Young's Modulus of Wood Plastic Composites

    An Improved Algorithm for Prediction of Young's Modulus of Wood Plastic Composites by Gupta, Ritu, Norrozila, Sulaiman, Gupta, Arun

    Published 2013
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  9. 9
    NN-Based FECG extraction from the composite abdominal ECG

    NN-Based FECG extraction from the composite abdominal ECG by Hasan, Muhammad Asraful, Ibrahimy, Muhammad Ibn, Reaz, Mamun Bin Ibne

    Published 2008
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    Proceeding Paper
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  10. 10
    Progressive failure analysis of composite laminated stiffened plates using the finite strip method

    Progressive failure analysis of composite laminated stiffened plates using the finite strip method by Zahari, Rizal, El-Zafrany, Ali M.

    Published 2009
    “…A progressive failure algorithm for composite laminates has been successfully developed for the new finite strip methods using a stress-based failure criterion, Tsai–Wu. …”
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  11. 11
    Progressive damage analysis of composite layered plates using a mesh reduction method

    Progressive damage analysis of composite layered plates using a mesh reduction method by Zahari, Rizal, El Zafrany, Ahmed

    Published 2006
    “…A progressive damage methodology and algorithm for composite laminates was successfully developed for the new finite strip methods using stress-based failure criteria. …”
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  12. 12
    Non-velocity based analysis of passive ultrasonic signal for source location detection in composite plates: a pilot study

    Non-velocity based analysis of passive ultrasonic signal for source location detection in composite plates: a pilot study by Z. M., Hafizi, Epaarachchi, J., Che Ku Eddy Nizwan, Che Ku Husin, Lau, K. T.

    Published 2012
    “…A linear source location algorithm utilizing AE signals energy attenuation patterns was developed and tested for the composite specimen. …”
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  13. 13
    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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  14. 14
    DEVELOPMENT OF COMPOSITIONAL MODEL FOR PREDICTING VISCOSITY OF CRUDE OILS USING POLYNOMIAL NEURAL NETWORKS (PNN) INDUCED BY GROUP METHOD OF DATA HANDLING (GMDH)

    DEVELOPMENT OF COMPOSITIONAL MODEL FOR PREDICTING VISCOSITY OF CRUDE OILS USING POLYNOMIAL NEURAL NETWORKS (PNN) INDUCED BY GROUP METHOD OF DATA HANDLING (GMDH) by Wen Pin, Yong

    Published 2011
    “…Throughout the years, although many of the common correlations were developed, laboratory measurements still cannot be replaced due to the complexities, varied composition and reservoir characteristics difference from different reservoirs. …”
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  15. 15
    Composite slab numerical strength test method under partial connection approach

    Composite slab numerical strength test method under partial connection approach by Mohammed, Kachalla, Abd. Karim, Izian, Abd. Aziz, Farah Nora Aznieta

    Published 2017
    “…The strength test performance between the developed scheme and the experiment-based test results indicates high similarity, demonstrating the viability of the proposed strength determination methodology developed.…”
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  16. 16
    A modified strength capacity for composite slab using reliability approach

    A modified strength capacity for composite slab using reliability approach by Mohammed, Kachalla

    Published 2016
    “…Similarly, a procedural algorithm lead to the development of pro_led composite slab strength determination function for both longitudinal shear estimation methods by considering section slenderness and deck characteristics. …”
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  17. 17
    Java based expert system for selection of natural fibre composite materials

    Java based expert system for selection of natural fibre composite materials by Ahmed Ali, Basheer A., Salit, Mohd Sapuan, Zainudin, Edi Syams, Othman, Mohamed

    Published 2013
    “…In this paper, we develop a technology for the materials selection system using Java based expert system. …”
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  18. 18
    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool

    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

    Published 2019
    “…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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    Final Year Project
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  19. 19
    Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer

    Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer by Temitope T., Dele-Afolabi, Masoud, Ahmadipour, Mohamed Ariff, Azmah Hanim, A.A., Oyekanmi, M.N.M., Ansari, Sikiru, Surajudeen, Kumar, Niraj

    Published 2024
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  20. 20
    Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression

    Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression by Olanrewaju, Alade A., Abd Rahman, Mohd Amiruddin, Aliyu, Bagudu, Abbas, Zulkifly, Yaakob, Yazid, A. Saleh, Tawfik

    Published 2019
    “…So far, two correlations have been developed to estimate the The accuracies of these models are still subject to further improvement for many nanofluid compositions. …”
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