Search Results - (( java implementation path algorithm ) OR ( using interactive cell algorithm ))

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  1. 1

    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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    Thesis
  2. 2

    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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    Thesis
  3. 3

    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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    Article
  4. 4

    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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    Thesis
  5. 5

    A Collision Detection Algorithm For Virtual Robot-Centered Flexible Manufacturing Cell by Arshad, Haslina

    Published 2008
    “…This thesis presents a collision detection algorithm for accurate simulation of a virtual flexible manufacturing cell. …”
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    Thesis
  6. 6

    Optimal path planning algorithms in virtual environments by Hassan, Rohayanti

    Published 2006
    “…A* algorithm was also incorporated with Cell Mapping technique to speed up the searching process. …”
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    Thesis
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    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
    “…To address that concern, a new algorithm to correct the pressure and the velocity using Simplified Marker and Cell method is added. …”
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    Conference or Workshop Item
  9. 9

    Solving computational algorithm using CLONALNet technique based on artificial clonal selection by Samy J.A.L.A., Krishnan P.S.A.L., Kiong T.S.

    Published 2023
    “…CLONALNet enforces an algorithm that is much more robust in evaluating the fitness for each antibody cells since it initiates boundaries so that the initialization process doesn't run off as of previous CLONALG algorithm but still maintains the immune network interaction as in aiNet. …”
    Conference paper
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    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…Leveraging state-of-the-art Multi-Objective Optimization algorithms, the research delves into the intricate dynamics of tumour and effector cell interactions within the context of chemotherapy. …”
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    Thesis
  12. 12

    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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    Article
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    Hand motion detection from EMG signals by using ANN based classifier for human computer interaction by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2011
    “…In this work, the detection of different hand movements (left, right, up and down) was obtained using artificial neural network (ANN). A back-propagation (BP) network with Levenberg-Marquardt training algorithm was utilized. …”
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    Proceeding Paper
  15. 15

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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    Thesis
  16. 16

    The study of transgene intergration hotspots in mammalia expression system by Shamsuddin, Shaharum

    Published 2015
    “…As a result, putative MAR elements were identified in mammalian expression system with different lengths of MAR regions between the three algorithms. MARJnndiii proteins that were used in CMP assay were also shown to interact with the mouse…”
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    Monograph
  17. 17

    Cellular Harmony Search for Optimization Problems by Al-Betar, Mohammed Azmi, Khader, Ahamad Tajudin, Awadallah, Mohammed A., Alawan, Mahmmoud Hafsaldin, Belal, Zaqaibeh

    Published 2013
    “…Structured population in evolutionary algorithms (EAs) is an important research track where an individual only interacts with its neighboring individuals in the breeding step. …”
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    Article
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    In Silico And In Vivo Analysis Of Otu Deubiquitinases Otub1, Otub2 And Otulin Protein-protein Interactions by Zulkifli, Nur Wahida

    Published 2023
    “…First, a DUBs interactome was built on Cytoscape ver 3.9.1 using data from IMEx database and analysed using various graph theory algorithms. …”
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    Thesis
  20. 20

    A review on autonomous mobile robot path planning algorithms by Noraziah, Adzhar, Yuhani, Yusof, Muhammad Azrin, Ahmad

    Published 2020
    “…In this paper, commonly use classical approaches such as cell decomposition (CD), roadmap approach (RA), artificial potential field (AFP), and heuristics approaches such as genetic algorithm (GA), particle swarm optimization (PSO) approach and ant colony optimization (ACO) method are considered.It is observed that when it comes to dynamic environment where most of the information are unknown to the mobile robots before starting, heuristics approaches are more popular and widely used compared to classical approaches since it can handle uncertainty, interact with objects and making quick decision. …”
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    Article