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  1. 1
    A new fair marker algorithm for DiffServ networks

    A new fair marker algorithm for DiffServ networks by Elshaikh, M.A., Mohamed, Othman, Subramaniam, Shamala, Md. Desa, Jalil

    Published 2008
    “…The paper design and implement the algorithm with extensive simulations using NS-2 simulator to compare the proposed algorithm with previous algorithms. …”
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  2. 2
    Development of airbag suit system for motorcyclist

    Development of airbag suit system for motorcyclist by Zainal Abidin, Zulkifli, Razali, Fakhruddin

    Published 2014
    “…The system takes the inputs from IMUs and GPS for G-force and speed calculation. When a rider’s position changed rapidly relative to the equilibrium position which is initially set during the calibration, the airbag will inflates. …”
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  3. 3
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  4. 4
    Application of inerter in passenger vehicle suspension systems / Soong Ming Foong

    Application of inerter in passenger vehicle suspension systems / Soong Ming Foong by Soong, Ming Foong

    Published 2015
    “…Then, switching algorithms were implemented to the inerter to evaluate potential further ride performance improvement brought by these modifications. …”
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  5. 5
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  6. 6
    Motion control algorithm development and testing for a free-piston engine generator

    Motion control algorithm development and testing for a free-piston engine generator by Hanipah, M. Razali

    “…From the analysis, the changes of disturbance of the electromagnetic force in acceleration and deceleration stages could improve the piston acceleration and hence increase the average velocity. …”
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  7. 7
    Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model

    Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model by Oh, Chai Lian

    Published 2017
    “…In the third phase, the structural characteristics of SBS models such as the deformed configurations and changes of axial force at the end of shape change analysis are investigated. …”
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  8. 8
    Numerical simulation of hybrid composite tubes under oblique compression

    Numerical simulation of hybrid composite tubes under oblique compression by Ismail, Al Emran, Nezere, N.

    Published 2017
    “…Findings – A proper contact algorithm is implemented to prevent interpenetration among elements and surfaces. …”
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  9. 9
    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
    “…Afterwards control algorithms have been successfully developed and implemented in the motor control hardware. …”
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  10. 10
    Development of finite element model for soil-structure interaction

    Development of finite element model for soil-structure interaction by Shoaei, Mohammad Dalili

    Published 2014
    “…All the redistributions and alterations of structural forces contributed in changing the yielding mechanisms of the considered frames. …”
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  11. 11
    Fuzzy logic controller for electronic ballast fluorescent lamp with fiber optic

    Fuzzy logic controller for electronic ballast fluorescent lamp with fiber optic by Moin, Azham Norhezry

    Published 2007
    “…Fuzzy techniques have been successfully used in control in several fields, and engineers and researchers are today considering fuzzy logic algorithms in order to implement intelligent functions in embedded systems. …”
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  12. 12
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  13. 13
    The quadriceps muscle of knee joint modelling using neural network approach: Part 2

    The quadriceps muscle of knee joint modelling using neural network approach: Part 2 by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Mohamed Ramli, Norazan, Mohamed Nasir, Noorhamizah, Ksm Kader Ibrahim, Babul Salam, Huq, Mohammad Saiful

    Published 2017
    “…Theoretically, the most common algorithm to train the network is the backpropagation (BP) algorithm which is based on the minimization of the mean square error (MSE). …”
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  14. 14
    Nonlinear vibration based modeling for damage detection of reinforced concrete beams / Muhammad Usman Hanif

    Nonlinear vibration based modeling for damage detection of reinforced concrete beams / Muhammad Usman Hanif by Muhammad Usman , Hanif

    Published 2018
    “…Harmonic excitation was applied on the FE model to obtain changes in modal stiffness and changes in nonlinear behavior by the appearance of super-harmonics in frequency domain. …”
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  15. 15
    Adaptive constitutive analytical model code for rubber bearings with load-dependent variable analytical model in seismically isolated steel structures

    Adaptive constitutive analytical model code for rubber bearings with load-dependent variable analytical model in seismically isolated steel structures by Sadeghi, Adel, Hejazi, Farzad

    Published 2026
    “…Thereafter, a dedicated computational algorithm and macro program were developed and implemented within a finite-element software environment to enable real-time adjustment of the lateral stiffness and damping properties of rubber bearings at each time step based on instantaneous vertical reaction forces. …”
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  16. 16
    Enhanced Ad Hoc On-Demand Distance Vector Routing Protocol For Mobile Ad Hoc Network Internet Connectivity

    Enhanced Ad Hoc On-Demand Distance Vector Routing Protocol For Mobile Ad Hoc Network Internet Connectivity by Gurusamy, Gobi

    Published 2006
    “…Moreover, three proposed approaches for gateway discovery are implemented; propose a forwarding algorithm, and route determination algorithm for default route and host route in MANET are investigated.…”
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  17. 17
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinskyi, Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  18. 18
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Muhamad Aiman Raziq, Muhamad Aiman Raziq, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinskyi, Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  19. 19
    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, MuhamadAiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinskyi, Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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  20. 20
    Quality prediction and classifcation of resistance spot weld using artifcial neural networkbwith open‑sourced, self‑executable andGUI‑based application tool Q‑Check

    Quality prediction and classifcation of resistance spot weld using artifcial neural networkbwith open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, H. P. Manurung, Yupiter, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon6 & Vladimir S. Kachinskyi, John R. C. Dizon6 & Vladimir S. Kachinskyi

    Published 2023
    “…A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg–Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. …”
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