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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios

    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios by Tayebiyan, Aida

    Published 2015
    “…After generating the future climate parameters, the predicted stream flow by ANN and estimated future evaporation (convert future minimum and maximum temperature generated by LARS-WG into future evaporation by penman formula) are exported to the constructed models to predict the future power generation output. …”
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  5. 5
    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy

    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

    Published 2023
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  6. 6
    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem

    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…New algorithms, journal papers and computerized system were also developed. …”
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    Monograph
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  7. 7
    Microgrid control methods toward achieving sustainable energy management

    Microgrid control methods toward achieving sustainable energy management by Roslan M.F., Hannan M.A., Ker P.J., Uddin M.N.

    Published 2023
    Review
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  8. 8
    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing

    On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing by Kamal Z., Zamli, Alsariera, Yazan A., Nasser, Abdullah B., Alsewari, Abdulrahman A.

    Published 2015
    “…Genetic Algorithm (GA), Ant Colony (AC), Simulated Annealling (SA), Particle Swarm Optimization, and Harmony Search Algorithm (HS) as their basis in an effort to generate the most optimal solution. …”
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  9. 9
    Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii

    Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii by Shafii, Muhammed Khaleeq

    Published 2012
    “…This would give a brief overview on which techniques or algorithms give better optimization and faster results in generating Prediction of UPSR result. …”
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  10. 10
    Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil

    Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil by Jamli, Mohd Radhi Fauzan, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
    “…Traditional methods of timetable generation lack the adaptability needed to tackle these complexities, necessitating the development of an innovative solution. …”
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  11. 11
    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization: article / Junainah Pardi

    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization: article / Junainah Pardi by Pardi, Junainah

    Published 2009
    “…Distributed generator (DG) is playing major role to supply energy resources and also for the development of co-generation plant which is absolutely very important in the electric power systems of the near future. …”
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  12. 12
    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi

    Allocation and sizing of distributed generation (DG) using Particle Swarm Optimization (PSO) technique for loss minimization / Junainah Pardi by Pardi, Junainah

    Published 2009
    “…Distributed generator (DG) is playing major role to supply energy resources and also for the development of co-generation plant which is absolutely very important in the electric power systems of the near future. …”
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  13. 13
    Ontology matching: in search of challenges ahead

    Ontology matching: in search of challenges ahead by Farooqui, N.K., Noordin, Mohamad Fauzan, Muhammad, AbdulHafeez

    Published 2015
    “…This paper presents key features and challenges for the development of the next generation ontology matcher. …”
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  14. 14
    SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR

    SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR by FUNG , CHUN TING

    Published 2005
    “…In the final part of this report, conclusions are drawn and some future work for future development is proposed.…”
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  15. 15
    Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model

    Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model by Mohamed Din, Aniza, Ku-Mahamud, Ku Ruhana, Yusof, Yuhanis, Mahmuddin, Massudi

    Published 2012
    “…This paper discusses on developing a hybrid model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to develop building blocks of partial schedules using the model developed that can be used to provide backup solutions when disturbances occur during production.This model hybridizes genetic algorithm (GA) with artificial immune systems (AIS) techniques to generate these partial schedules.Each partial schedule, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules. …”
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  16. 16
    Online Programming Judge System (UOJ)

    Online Programming Judge System (UOJ) by Tran , Quang Trung

    Published 2013
    “…Moreover, the mechanism of test cases generation using PSO algorithm is deeply analyzed. …”
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  17. 17
    An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms

    An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms by Alsewari, Abdulrahman A., Kamal Z., Zamli

    Published 2014
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  18. 18
    Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists

    Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists by Che Azemin, Mohd Zulfaezal, Mohd Tamrin, Mohd Izzuddin, Hilmi, Mohd Radzi, Mohd Kamal, Khairidzan

    Published 2023
    “…This indicates the potential of SGANs in generating realisticpterygium images. The successful generation of synthetic pterygium images using SGANs provides a valuabletool for training future optometrists and ophthalmologists in pterygium diagnosis and grading. …”
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  19. 19
    An initial state of design and development of intelligent knowledge discovery system for stock exchange database

    An initial state of design and development of intelligent knowledge discovery system for stock exchange database by Che Mat @ Mohd Shukor, Zamzarina, Khokhar, Rashid Hafeez, Md Sap, Mohd Noor

    Published 2004
    “…Generally our clustering algorithm consists of two steps including training and running steps.The training step is conducted for generating the neural network knowledge based on clustering.In running step, neural network knowledge based is used for supporting the Module in order to generate learned complete data, transformed data and interesting clusters that will help to generate interesting rules.…”
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  20. 20
    3D character reconstruction from 2D orthogonal images

    3D character reconstruction from 2D orthogonal images by Kok, Yung Thow

    Published 2025
    “…The algorithm can generate primitive shape from at least two orthogonal view images. …”
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