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  1. 1
    Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending

    Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending by Abu Khadra, Fayiz Y. M.

    Published 2006
    “…The training data required to train the two-metamodeling techniques were generated using a verified nonlinear finite element algorithm developed in the current research. …”
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    Thesis
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  2. 2
    Environmental Assessment of Alkali-Catalysed Biodiesel Process Using War Algorithm

    Environmental Assessment of Alkali-Catalysed Biodiesel Process Using War Algorithm by Siti Faiznur, Daud

    Published 2013
    “…Hence to determine the PEI value, WAR Algorithm is then introduced. It is used to evaluate the environmental friendliness of a process and was carried out by using the developed Microsoft Excel spread sheet. …”
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    Undergraduates Project Papers
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  3. 3
    Modelling of elastic modulus degradation in sheet metal forming using back propagation neural network

    Modelling of elastic modulus degradation in sheet metal forming using back propagation neural network by M. R. Jamli, A. K. Ariffin, Dzuraidah Abd. Wahab

    Published 2015
    “…The model was developed using the back propagation neural networks (BPNN) based on the experimental tension unloading data. …”
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  4. 4
    Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network

    Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network by Jamli, Mohamad Ridzuan, Mohd Ihsan, Ahmad Kamal Ariffin, Abdul Wahab, Dzuraidah

    Published 2015
    “…The model was developed using the back propagation neural networks (BPNN) based on the experimental tension unloading data. …”
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  5. 5
    Algorithm of the effect of g-jittren on free convection adjacent to a stretching sheet

    Algorithm of the effect of g-jittren on free convection adjacent to a stretching sheet by Shafie, Sharidan

    Published 2009
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    Monograph
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  6. 6
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Asmelash, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Taguchi method with L36 orthogonal array was employed to develop the experimental design. A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. …”
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  7. 7
    Characterization of PV panel and global optimization of its model parameters using genetic algorithm

    Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail, M.S., Moghavvemi, Mahmoud, Mahlia, T.M.I.

    Published 2013
    “…The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. …”
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  8. 8
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Gebremariam, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Taguchi method with L36 orthogonal array was employed to develop the experimental design. A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. …”
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  9. 9
    Characterization of PV panel and global optimization of its model parameters using genetic algorithm

    Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

    Published 2023
    “…The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. …”
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  10. 10
    Mixed convection flow of dusty viscoelastic with aligned magnetic field over a vertical stretching sheet / Muhammad Azfar Hanis Muhammad Khairi

    Mixed convection flow of dusty viscoelastic with aligned magnetic field over a vertical stretching sheet / Muhammad Azfar Hanis Muhammad Khairi by Muhammad Khairi, Muhammad Azfar Hanis

    Published 2025
    “…Hence, validating the developed numerical algorithm and graphical outputs. …”
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  11. 11
    Detection of corneal arcus using rubber sheet and machine learning methods

    Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

    Published 2019
    “…This research is focusing on better ROI for iris segmentation by reducing the unwanted area, in order to maximize the useful region contain the CA presence. The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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  12. 12
    Development Of Anfis Algorithm To Predict The Sheet Metal Cut Quality Of Carbon Dioxide Laser

    Development Of Anfis Algorithm To Predict The Sheet Metal Cut Quality Of Carbon Dioxide Laser by Chong, Zhian Syn

    Published 2011
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    Thesis
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  13. 13
    Development of Attendance Management Algorithm for analyzing rate of absenteeism

    Development of Attendance Management Algorithm for analyzing rate of absenteeism by Tan Boon Tuck, Bachelor of Engineering Technology in Electronics

    Published 2014
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  14. 14
    Strut-and-tie model for externally bonded CFRP-strengthened reinforced concrete deep beams based on particle swarm optimization algorithm: CFRP debonding and rupture

    Strut-and-tie model for externally bonded CFRP-strengthened reinforced concrete deep beams based on particle swarm optimization algorithm: CFRP debonding and rupture by Hanoon, Ammar N., Jaafar, M. S., Hejazi, Farzad, Aziz, Farah N .A. Abdul

    Published 2017
    “…This study had the goal of developing a simple procedure or model for estimating the shear capacity of RC deep beams strengthened with CFRP sheets. …”
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  15. 15
    Hazard identification on fractionation column using rule based expert system

    Hazard identification on fractionation column using rule based expert system by Mohd Yunus, Mohd Yusri, Ali, Mohamad Wijayanuddin

    Published 2001
    “…The process-specific knowledge, which consists of process operation data and the process flow sheet, has been constructed using a HYSIS process simulator. …”
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  16. 16
    Mathematical modelling and numerical simulation of CO2/CH4 separation in a polymeric membrane

    Mathematical modelling and numerical simulation of CO2/CH4 separation in a polymeric membrane by Gilassi, S., Rahmanian, N.

    Published 2015
    “…By changing the permeability, the model developed by use of the solution-diffusion concept could be used for all polymeric membranes with flat sheet modules. …”
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  17. 17
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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    Monograph
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  18. 18
    AUTOMATED IP CAMERA: ATTENDANCE BASED APPLICATION USING FACIAL RECOGNITION

    AUTOMATED IP CAMERA: ATTENDANCE BASED APPLICATION USING FACIAL RECOGNITION by HASHIM, MOHD ASYRAF

    Published 2016
    “…The author used the Viola-Jones algorithm to detect a face and used Local Binary Patterns (LBP) to recognize the student’s faces.…”
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    Final Year Project
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  19. 19
    Automatic attendance system using face recognition with deep learning algorithm

    Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

    Published 2022
    “…The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
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  20. 20
    Automatic attendance system using face recognition with deep learning algorithm

    Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

    Published 2022
    “…The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
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