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    Multiaxial Fatigue Life Modelling using Hybrid Approach of Critical Plane and Genetic Algorithm by M., Kamal, M. M., Rahman

    Published 2016
    “…The model is evaluated using experimental fatigue life data for SS304 steel. …”
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    Article
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    Fatigue Life Estimation Based On Continuum Mechanics Theory With Application Of Genetic Algorithm by M., Kamal, M. M., Rahman

    Published 2015
    “…The present study presents the development of a new fatigue life estimation model using the concepts of continuum mechanics with a critical plane based approach, where a genetic algorithm is used to estimate the coefficients of the model. …”
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    Article
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    An Integrated Approach For Fatigue Life Estimation Based On Continuum Mechanics Theory And Genetic Algorithm by M., Kamal, M. M., Rahman

    Published 2015
    “…Finite element analysis is used to determine an experimental fatigue life of EN3B steel alloy published in literature for validation. …”
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    Article
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    Optimization of stiffened panel fatigue life by using finite element analysis by Mazlan, Shahan

    Published 2020
    “…The multi-objective genetic algorithm which selects the design points based on Pareto optimal design combined with the adaptive multi-objective algorithm method which uses an optimal space-filling was shown to be efficient for time limitation and budget. …”
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    Thesis
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    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm by Masood, Kamal

    Published 2015
    “…The model is simple in application with the use of genetic algorithm for model calibration making use of only the material fatigue limit. …”
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    Thesis
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    Comparison between Genetic Algorithm and Prey-Predator Algorithm. by Ong, Hong Choon

    “…Most of these algorithms are inspired by real life biological phenomenon. …”
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    Monograph
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    A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine by Chui, K.T., Gupta, B.B., Vasant, P.

    Published 2021
    “…Understanding the remaining useful life (RUL) of equipment is crucial for optimal predictive maintenance (PdM). …”
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    Article
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    Prediction of Remaining Useful Life (RUL) in Refinery using Deep Learning by Baharadin, Hazirah

    Published 2019
    “…The Remaining Useful Life (RUL) is typically used as the process of predicting the life span of machine before its failure. …”
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    Final Year Project
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    Classification of hand gestures from EMG signals / Diaa Albitar by Albitar, Diaa

    Published 2022
    “…The quality of life has greatly improved in the recent years due to the use of robotics. …”
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    Thesis
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    Letter recognition using backpropagation algorithm by Azrul Hafiz, Awang

    Published 2010
    “…This application will be developed using C++ Builder. Letter Recognition using Backpropagation Algorithm will make analysis and show the accuracy percentage, errors and the result of the letter training. …”
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    Undergraduates Project Papers
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    Gravitational Search Algorithm Based LSTM Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction With Uncertainty by Reza M.S., Hannan M.A., Mansor M.B., Ker P.J., Tiong S.K., Hossain M.J.

    Published 2025
    “…This paper presents an improved approach for predicting the RUL and capacity of LIB using a long short-term memory (LSTM) deep neural network-integrated with a gravitational search algorithm (GSA) to address the challenges associated with predicting battery life. …”
    Article
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    CC_TRS: continuous clustering of trajectory stream data based on micro cluster life by Abdulrazzaq, Musaab Riyadh, Mustapha, Norwati, Sulaiman, Md. Nasir, Mohd Sharef, Nurfadhlina

    Published 2017
    “…In this article, an algorithm for Continuous Clustering of Trajectory Stream Data Based on Micro Cluster Life is proposed. …”
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    Article