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    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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    Thesis
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    Hybrid genetic algorithm for improving fault localization by Mahamad Zakaria, Muhammad Luqman, Sharif, Khaironi Yatim, Abd Ghani, Abdul Azim, Koh, Tieng Wei, Zulzalil, Hazura

    Published 2018
    “…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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    Article
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    Examination timetabling using genetic algorithm case study: KUiTTHO by Mohd Salikon, Mohd Zaki

    Published 2005
    “…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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    Thesis
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    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. …”
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    Thesis
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    Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO by Mohd. Zaki, Mohd. Salikon

    Published 2005
    “…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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    Thesis
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    Improving Class Timetabling using Genetic Algorithm by Qutishat, Ahmed Mohammed Ali

    Published 2006
    “…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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    Thesis
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    Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm by Yung, Dellon Tan Tzet

    Published 2014
    “…Hence, to achieve this, various optimisation algorithm needs to be studied and researched. The techniques that would need to have the capability to do route planning or selection while considering other criteria like time, cost and efficiency in addition of the displacement travelled. …”
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    Final Year Project
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    Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud by Mahmud, Nur Farahana

    Published 2022
    “…However, according to a recent study, ANN algorithms require a huge amount of training data while BPFFNN algorithms only have an average success rate of 70% in recognizing all the characters. …”
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    Student Project
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    Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan by Ruslan, Muhammad Hassan Firdaus

    Published 2017
    “…Project finding are based on the Railway Shortest Path Planner (RSPP) application framework that consists of input module, output module and process module. Users need to input source and destination station and the output will be the proposed shortest path and other train information’s such as train types, train lines and stations involves. …”
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    Thesis
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    Neural network algorithm-based fall detection modelling by Mohd Yusoff, Ainul Husna, Koh, Cheng Zhi, Ngadimon, Khairulnizam, Md Salleh, Salihatun

    Published 2020
    “…The algorithm is trained by network training function; LM, SCG and RP by collocation with threshold-based setting value. …”
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    Article
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    Development of intrusion detection system using residual feedforward neural network algorithm by Rustam, Rushendra, Ramli, Kalamullah, Hayati, Nur, Ihsanto, Eko, Gunawan, Teddy Surya, Halbouni, Asmaa Hani

    Published 2022
    “…This paper introduces a novel, efficient, and accurate approach for real-time intrusion detection and classification based on the Residual Feedforward Neural Network (RFNN) algorithm. The RFNN algorithm is developed to avoid overfitting, improve detection accuracy, and accelerate training and inference. …”
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    Proceeding Paper
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    Jogging activity recognition using k-NN algorithm by Afifah Ismail

    Published 2022
    “…However, to approach the limitation in this project, different feature extraction approaches and the study of additional classifiers, as well as research by training the model with a larger dataset and using more different intensities are needed.…”
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    Academic Exercise