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  1. 1
    Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Ahmad Firdaus Maliki

    Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Ahmad Firdaus Maliki by Maliki, Ahmad Firdaus

    Published 2021
    “…Several classifier models have been built by using Naive Bayes algorithm during the design and implementation phase where the model that has the highest accuracy has been chosen for this project. …”
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  2. 2
    Sentiment analysis on airline reviews using Naive Bayes / Nurul Sarah Aliessa Che Harun

    Sentiment analysis on airline reviews using Naive Bayes / Nurul Sarah Aliessa Che Harun by Che Harun, Nurul Sarah Aliessa

    Published 2025
    “…In the design and implementation phases, TF-IDF was considered in cleaning and preparing the reviews for application, while the construction of a sentiment analysis model was implemented through the use of the Multinomial Naive Bayes algorithm. …”
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  3. 3
    Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman

    Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman by Mohd Kamaruzaman, Amizah

    Published 2012
    “…SDLC consists of analysis, design, implementation, testing and documentation phase. Backtracking algorithm are implemented in the implementation phase. …”
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  4. 4
    Frequent Lexicographic Algorithm for Mining Association Rules

    Frequent Lexicographic Algorithm for Mining Association Rules by Mustapha, Norwati

    Published 2005
    “…The implementation of an adopted theory of representative model proved that this model is more concise than the other two models. …”
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  5. 5
    Three phase induction motor coupled to DC motor in hybrid electric vehicle application

    Three phase induction motor coupled to DC motor in hybrid electric vehicle application by Zulkarnain, Lubis

    Published 2011
    “…For the HIL simulation, the controller was implemented in SIL based control hardware, and a electrical motor model was implemented in software. …”
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  6. 6
    Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network

    Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network by Gao, Yuan, Mohd Kasihmuddin, Mohd Shareduwan, Chen, Ju, Zheng, Chengfeng, Romli, Nurul Atiqah, Mansor, Mohd. Asyraf, Zamri, Nur Ezlin

    Published 2024
    “…This study introduced a novel ant colony optimization algorithm that implements the population selection strategy of the Estimation of Distribution Algorithm and a new pheromone updating formula. …”
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  7. 7
    User-Device Authentication Model With Digital Certificate For Smartphone User

    User-Device Authentication Model With Digital Certificate For Smartphone User by Sakiinah binti Altaf Hussain

    Published 2024
    thesis::master thesis
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  8. 8
    Multi-objective optimisation of assembly line balancing type-e problem with resource constraints

    Multi-objective optimisation of assembly line balancing type-e problem with resource constraints by Masitah, Jusop

    Published 2016
    “…The third phase of this research is, an industrial case study will be conducted for the purpose to validate the mathematical model and the optimisation algorithm. …”
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  9. 9
    An Integrated Approach For Fatigue Life Estimation Based On Continuum Mechanics Theory And Genetic Algorithm

    An Integrated Approach For Fatigue Life Estimation Based On Continuum Mechanics Theory And Genetic Algorithm by M., Kamal, M. M., Rahman

    Published 2015
    “…Fatigue life prediction from the proposed model shows good agreement with published results for in-phase and out-of-phase multiaxial loading…”
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  10. 10
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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  11. 11
    Implementation of luo-rudi phase 1 cardiac cell excitation model in FPGA

    Implementation of luo-rudi phase 1 cardiac cell excitation model in FPGA by Othman, Norliza

    Published 2017
    “…For the rapid prototyping, a nonlinear Ordinary Differential Equation (ODE)­based algorithm of the LR-I model is implemented by using Hardware Description Language (I-IDL) Coder that is capable to convert MATLAB Simulink blocks designed into a synthesisable VHSIC Hardware Description Language (VHDL) code and verified using the FPGA-In-the Loop (FIL) Co-simulator. …”
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  12. 12
    Development of control algorithm for a new 12s-6p single phase field excited flux switching motor

    Development of control algorithm for a new 12s-6p single phase field excited flux switching motor by Amin, Faisal

    Published 2020
    “…Initially, fundamental control principle for 12S-6P FEFSM has been identified through the finite element analysis (FEA) of the model. Afterwards control algorithms have been successfully developed and implemented in the motor control hardware. …”
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  13. 13
    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network

    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

    Published 2024
    “…Additionally, the proposed Hybrid Differential Evolution Algorithm was implemented into the training phase to ensure that the cost function of the Discrete Hopfield Neural Network is minimized. …”
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  14. 14
    DSP controlled isolated DC-DC converter for distributed generation system

    DSP controlled isolated DC-DC converter for distributed generation system by Younis M.A.A., Rahim N.A., Mekhilef S.

    Published 2023
    “…Digital Signal Processing (DSP) board is used to implement the control algorithm. The control algorithm includes phase-shift PWM and PID close loop control, are designed using SIMULINK Embedded Target Library which are used to represent algorithms and peripherals specific DSP family. …”
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  15. 15
    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network

    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

    Published 2021
    “…Consequently, the performance of the proposed model was validated using unseen data. To achieve those objectives, there were three main phases implemented in the network development framework; first, the determination of feature extraction using multiway principal component analysis (MPCA), second, the ANN model development and architecture selection for BOD and COD analysis, and third, the ANN architecture selection for WQI prediction model. …”
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  16. 16
    Development of committee machine models for multiple response optimization problems

    Development of committee machine models for multiple response optimization problems by Golestaneh, Seyed Jafar

    Published 2014
    “…This is the modeling phase. Then, in the optimization phase, GA searches best responses for each Committee Machine model with object maximum Global Desirability. …”
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  17. 17
    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]

    Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.] by Ismail, Razidah, Ahmad, Tahir, Harish, Noor Ainy, A. Halim, Rosenah

    Published 2011
    “…In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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    Research Reports
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  18. 18
    Healthcare Data Analysis Using Water Wave Optimization-Based Diagnostic Model

    Healthcare Data Analysis Using Water Wave Optimization-Based Diagnostic Model by Kaur, Arvinder, Kumar, Yugal

    Published 2021
    “…This paper presents a new diagnostic model for various diseases. In the proposed diagnostic model, a water wave optimization (WWO) algorithm was implemented for improving the diagnosis accuracy. …”
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  19. 19
    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim

    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim by Razali, Azli Amirul Ehsan, Halim, Faiqah Hafidzah

    Published 2022
    “…These phases are Requirement Gathering and Analysis Phase, Design Phase, and Implementation Phase. …”
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  20. 20
    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim

    Hiding Information Digitally Under Picture (HIDUP) using image steganography / Azli Amirul Ehsan Razali and Faiqah Hafidzah Halim by Razali, Azli Amirul Ehsan, Halim, Faiqah Hafidzah

    Published 2022
    “…These phases are Requirement Gathering and Analysis Phase, Design Phase, and Implementation Phase. …”
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