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  1. 1
    Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform

    Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform by Abdul Rashid, Abdul Hadi

    Published 2014
    “…Back in the days, before computers and IT were widely used, history matching was done manually by trial and error method, where personal judgment were very critical in undergoing such methodology. …”
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  2. 2
    Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus

    Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus by Kumar, A., Ridha, S., Ilyas, S.U., Dzulkarnain, I., Pratama, A.

    Published 2022
    “…The algorithms also explain the effect of geometric and rheological parameters on the fluid flow attributes. …”
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  3. 3
    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar

    Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

    Published 2019
    “…There have two most uses activation function namely tansig and logsig. …”
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  4. 4
    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Chun T.S., Malek M.A., Ismail A.R.

    Published 2023
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  5. 5
    Development and implementation of Intelligent Soot Blowing Optimization System for TNB Janamanjung

    Development and implementation of Intelligent Soot Blowing Optimization System for TNB Janamanjung by Sundaram T., Basim Ismail F., Gunnasegaran P., Gurusingam P.

    Published 2023
    Conference Paper
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  6. 6
    CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers

    CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers by Jaimon, Dennis Quadros, Khan, Sher Afghan, Prashanth, T.

    Published 2022
    “…Numerical analysis of the flow process was carried out using the computational fluid dynamics (CFD) technique and was validated by experiments. …”
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  7. 7
    Analysis of least squares methods based on Ball curves representation in solving ordinary differential equations

    Analysis of least squares methods based on Ball curves representation in solving ordinary differential equations by Bhatti, Abdul Hadi

    Published 2024
    “…Moreover, the least squares method (LSM) is incorporated within the Bézier curve algorithm to minimize errors during the determination of control points. …”
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  8. 8
    Assisted History Matching by Using Recursive Least Square and Discrete Cosine Transform

    Assisted History Matching by Using Recursive Least Square and Discrete Cosine Transform by Abu Talib, Muhammad Ashraf

    Published 2014
    “…Forward model is then used to design the objective function. After objective function has been designed, DCT is applied to the reservoir data in order to minimize the number of parameters. …”
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  9. 9
    Online optimal tuning of fuzzy PID controller using grey wolf optimizer for quarter car semi-active suspension system

    Online optimal tuning of fuzzy PID controller using grey wolf optimizer for quarter car semi-active suspension system by Liu, Yunyun, As’arry, Azizan, Ahmed, Hesham, Hairuddin, Abdul Aziz, Hassan, Mohd Khair, Zakaria, Mohd Zakimi, Yang, Shuai

    Published 2024
    “…Here the magnetorheological damper (MR) fluid with the Fuzzy PID controller was examined to optimize using the GWO algorithm. …”
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  10. 10
    Mass transfer of a thermally radiative MHD Cattaneo-Christov nanofluid between two stretchable spinning disks

    Mass transfer of a thermally radiative MHD Cattaneo-Christov nanofluid between two stretchable spinning disks by Habu, Peter Ngbo, Sharifah Nuriza Al’Aidrus, Noor Fadiya Mohd Noor, Zailan Siri

    Published 2022
    “…These coupled ODEs are later solved by employing a shooting method with MATLAB bvp4c algorithm. All numerical evidences from this investigation are conferred through tables and figures after validation of present computations.…”
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  11. 11
    PREDICTION OF FLUID LOSS AND RHEOLOGICAL PROPERTIES OF WATER-BASED DRILLING FLUID USING MULTIPLE MACHINE LEARNING ALGORITHMS

    PREDICTION OF FLUID LOSS AND RHEOLOGICAL PROPERTIES OF WATER-BASED DRILLING FLUID USING MULTIPLE MACHINE LEARNING ALGORITHMS by HADI, HASNUL

    Published 2020
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  12. 12
    Adaptive mesh refinement immersed boundary method for simulations of laminar flows past a moving thin elastic structure

    Adaptive mesh refinement immersed boundary method for simulations of laminar flows past a moving thin elastic structure by Aldlemy, M.S., Rasani, M.R., Ariffin, A.K., Ya, T.M.Y.S.T.

    Published 2020
    “…The cut-cell IBM is used to predict the body forces while FEM is used to predict deformation of the thin elastic structure in order to integrate the motions of the fluid and solid at the interface. …”
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  13. 13
    Analysis and simulation of catamaran mini houseboat design by using Computational Fluid Dynamic (CFD) / Muhammad Danish Irfan Mohd Aihsan

    Analysis and simulation of catamaran mini houseboat design by using Computational Fluid Dynamic (CFD) / Muhammad Danish Irfan Mohd Aihsan by Mohd Aihsan, Muhammad Danish Irfan

    Published 2024
    “…The objective in this research is Computational Fluid Dynamics (CFD) simulation is to analyse fluid flow around the hull of the mini houseboat design and analyse the velocity, drag force, air resistance and water resistance to improve the performance of the design. …”
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  14. 14
    Path planning of UAV based on fluid computing via accelerated method

    Path planning of UAV based on fluid computing via accelerated method by Shaliza Hayati A. Wahab, Ali Chekima, Nordin Saad, Azali Saudi

    Published 2020
    “…Then the fluid field distribution is computed using fluid mechanics to establish streamlines in the field. …”
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  15. 15
    A Two Pressure-Velocity Approach for Immersed Boundary Methods in Three Dimensional Incompressible Flows

    A Two Pressure-Velocity Approach for Immersed Boundary Methods in Three Dimensional Incompressible Flows by Tuan Mohammad Yusoff, Tuan Ya, Sabir, O., Norhafizan, Ahmed, Y., Nukman

    Published 2013
    “…This paper describes innovative method for computing fluid solid interaction using Immersed boundary methods with two stage pressure-velocity corrections. …”
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  16. 16
    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources

    Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources by Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.

    Published 2021
    “…Herschel-Bulkley model is used to approximate the complex rheological behavior of a non-Newtonian fluid. …”
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  17. 17
    Flow analysis of water with aluminum oxide nanoparticles in a 90° bend pipe with injection using computational fluid dynamics

    Flow analysis of water with aluminum oxide nanoparticles in a 90° bend pipe with injection using computational fluid dynamics by Mahdizadeh, Hadi

    Published 2018
    “…Therefore, the aim of this study is investigation of the effect of injection into a 90° bend tube with A12O3 Nano-fluid. Computational fluid dynamics study of a flow through a bent tube of 90° via fluid injection was performed using ANSYS FLUENT software. …”
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  18. 18
    Application Of Higher Order Compact Finite Difference Methods To Problems In Fluid Dynamics

    Application Of Higher Order Compact Finite Difference Methods To Problems In Fluid Dynamics by Yap, Wen Jiun

    Published 2003
    “…Finite difference schemes used in the field of computational fluid dynamics is generally only of second-order accurate in representing the spatial derivatives. …”
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  19. 19
    Multigrid solution of Euler equations using high-resolution NVD differencing scheme for unstructured meshes

    Multigrid solution of Euler equations using high-resolution NVD differencing scheme for unstructured meshes by Ng K.C., Yusoff M.Z., Ng E.Y.K.

    Published 2023
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  20. 20
    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation

    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation by Kumar, A., Ridha, S., Ganet, T., Vasant, P., Ilyas, S.U.

    Published 2020
    “…The impact of each input parameter affecting the pressure drop is quantified using the RF algorithm. © 2020 by the authors.…”
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