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  1. 1
    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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  2. 2
    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 will resolve this problem by applying GAs to evolve musical compositions and offer a fresh view on computational music generation. …”
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  3. 3
    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques

    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

    Published 2014
    “…The goal of QoS-aware service composition is to generate optimal composite services that satisfy the QoS requirements defined by clients. …”
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  4. 4
    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques

    Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques by Hammid, Ali Thaeer

    Published 2018
    “…Secondly, this approach hybridizing the FA with the rough algorithm (RA), where RA is used to control the steps of randomness for the FA while optimizing the weights of the standard BPNN model. …”
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  5. 5
    Seed disperser ant algorithm for optimization / Chang Wen Liang

    Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

    Published 2018
    “…These binary variables are used to locally search for optimum solution. SDAA is developed using the concept of male ants performing nuptial flights to generate new superior colonies. …”
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  6. 6
    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S.

    Published 2022
    “…Whereas the best performance in terms of prediction of the syngas composition was obtained using the NLRQM algorithm with an inbuilt SQP and LM algorithms. …”
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  7. 7
    State-of-the-art ensemble learning and unsupervised learning in fatigue crack recognition of glass fiber reinforced polyester composite (GFRP) using acoustic emission

    State-of-the-art ensemble learning and unsupervised learning in fatigue crack recognition of glass fiber reinforced polyester composite (GFRP) using acoustic emission by Gholizadeh, S., Leman, Z., Baharudin, B.T.H.T.

    Published 2023
    “…Acoustic emission (AE) is a passive structural health monitoring (SHM) technique that provides real-time damage detection based on stress waves generated by cracks in the structure. This study evaluates the damage progression on glass fiber reinforced polyester composite specimens using different approaches of machine learning. …”
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  8. 8
    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele B.V., Mustapa S.I., Kanthasamy R., Mohammad N., AlTurki A., Babu T.S.

    Published 2023
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  9. 9
    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S.

    Published 2022
    “…Whereas the best performance in terms of prediction of the syngas composition was obtained using the NLRQM algorithm with an inbuilt SQP and LM algorithms. …”
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  10. 10
    Design and Simulation on Compressor Metal Matrix Composite by Investment Casting

    Design and Simulation on Compressor Metal Matrix Composite by Investment Casting by Taufik, Roni Sahroni, Tajul Ariffin, Abdullah, Sivarao, Subramonian

    Published 2011
    “…This paper proposes the new methodology of producing the compressor impeller using Metal Matrix Composite (MMC) material by investment casting. …”
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  11. 11
    Identification of material properties of composite plates using Fourier-generated frequency response functions

    Identification of material properties of composite plates using Fourier-generated frequency response functions by Tam, Jun Hui, Ong, Zhi Chao, Lau, Chun Lek, Ismail, Zubaidah, Ang, Bee Chin, Khoo, Shin Yee

    Published 2019
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  12. 12
    Design and simulation on compressor metal matrix composite by investment casting

    Design and simulation on compressor metal matrix composite by investment casting by Sahroni, Taufik Roni, Sulaiman, Shamsuddin, Abdullah, Tajul Ariffin, Subramonian, Sivarao

    Published 2011
    “…This paper proposes the new methodology of producing the compressor impeller using Metal Matrix Composite (MMC) material by investment casting. …”
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  13. 13
    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
    “…Many research papers are published in the field of materials selection for manufacturing process and design of polymer composite materials. However, least consideration has been given for material selection of natural fibre composites. …”
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  14. 14
    Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach

    Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach by Akorede, Mudathir Funsho

    Published 2011
    “…This model takes into account, the peculiarities of radial distribution networks, such as high R/X (resistance/reactance) ratio, voltage dependency and composite nature of loads.To solve the proposed models, Genetic algorithm (GA) is used as an optimisation technique. …”
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  15. 15
    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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  16. 16
    Application of refinement successive over-relaxation (RSOR) in solving the piecewise polynomial on fredholm integral equation of the second type

    Application of refinement successive over-relaxation (RSOR) in solving the piecewise polynomial on fredholm integral equation of the second type by Nor Syahida Mohamad, Jumat Sulaiman, Azali Saudi, Nur Farah Azira Zainal

    Published 2023
    “…The algorithm, which is called Composite Trapezium (CT), is generally used to discretize any integral term. …”
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  17. 17
    Combination of linear and gradient vector flow field digital mosaic rendering for automated tile placement

    Combination of linear and gradient vector flow field digital mosaic rendering for automated tile placement by Akindokun, Tolulope John

    Published 2018
    “…Mosaic is a composite image generated by combining sets of small images together through the use of tiles. …”
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  18. 18
    Image Stitching Of Aerial Footage

    Image Stitching Of Aerial Footage by Ng, Wei Haen

    Published 2021
    “…The images are warped to the key frame of the footage to generate a stitched image by using the computed homography. …”
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  19. 19
    Pseudo Random Bits' Generator Based on Tent Chaotic Map and Linear Feedback Shift Register

    Pseudo Random Bits' Generator Based on Tent Chaotic Map and Linear Feedback Shift Register by Ahmed, Hussam Alddin S., Mohamad Fadli, Zolkipli, Saba, M. Ismail, Alsariera, Yazan A.

    Published 2018
    “…Furthermore to ensure the reliability of using the proposed Pseudo Random Number Generator (PRNG) in secure algorithms, the generated output bits sequence has been subjected to statistical analysis by NIST test suite and the result of the generated sequence confirm the efficiency of the proposed generator. …”
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  20. 20
    Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing

    Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing by Muazu, Aminu Aminu, Hashim, Ahmad Sobri

    Published 2025
    “…The Harmony Search (HS) algorithm is a recent metaheuristic that mimics musicians’ improvisation to create pleasant compositions according to aesthetic standards widely used in different areas continuously adjusts solution variables to find the best outcome. …”
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