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  1. 1
    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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  2. 2
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  3. 3
    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  4. 4
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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  5. 5
    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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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    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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  16. 16
    Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.]

    Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.] by Gorgey, Annie, Zulkifly, Zul Hafiezy, Hassim, Haslinah, Azim, Farah Adilla

    Published 2024
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  17. 17
    INVESTIGATION ON BIOGAS DISPERSION USING COMPUTATIONAL FLUID DYNAMICS MODELING

    INVESTIGATION ON BIOGAS DISPERSION USING COMPUTATIONAL FLUID DYNAMICS MODELING by TIONG , LAURA SIEW ZIN

    Published 2012
    “…CFD is a branch of fluid mechanics that uses numerical method and algorithm to solve the problem which involves fluid flow. …”
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  18. 18
    Predicting Flow Rate of V-Shape Customm Tank Using Derivative Free Recursive Algorithm

    Predicting Flow Rate of V-Shape Customm Tank Using Derivative Free Recursive Algorithm by Tawfeiig, Huzzaifa, Asirvadam , Vijanth Sagayan, Saad , Nordin

    Published 2011
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  19. 19
    3-Dimensional Blood Clot Simulation On Plastic Arterial Catheter using GAMBIT & FLUENT

    3-Dimensional Blood Clot Simulation On Plastic Arterial Catheter using GAMBIT & FLUENT by Afzal Reza Bin Ali Rahman, Afzal Reza

    Published 2011
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  20. 20
    DEVELOPMENT AND VALIDATION OF COMPUTATIONAL MODELS FOR SAND EROSION AND CORROSION PREDICTION IN PIPES AND FITTINGS

    DEVELOPMENT AND VALIDATION OF COMPUTATIONAL MODELS FOR SAND EROSION AND CORROSION PREDICTION IN PIPES AND FITTINGS by MOHYALDINN LLHAJ, MYSARA EISSA

    Published 2011
    “…Two models have been used to build the erosion prediction code. The Salama model, a simple empirical model, was used to predict erosion rate in elbows and tees, assuming that sand particles velocity is the same as fluid velocity. …”
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