Search Results - (( developing e ((graph algorithm) OR (path algorithm)) ) OR ( java implication based algorithm ))

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    Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method by Abdul Latip, Nor Badariyah

    Published 2018
    “…Cun·ent studies have been focused on developing path planning algorithms to satisfy the criteria of path planning namely minimum path length, low computation time and complete, i.e., it gives positive result if a path is available or negative if otherwise. …”
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    Thesis
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    Discrete simulation framework for wireless cellular networks. by Al-Sanabani, Maher Ali, K. Subramaniam, Shamala, Othman, Mohamed, Ahmad Zulkarnain, Zuriati

    Published 2008
    “…The performance of the developed simulator compared with the performance characteristics of existing algorithms. …”
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    Article
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    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…This work focuses on the current library of components for the development of bio-nanorobots and considers the recently reported static (e.g. …”
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    Thesis
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    Meta-Heuristic Algorithms for Learning Path Recommender at MOOC by Son, N.T., Jaafar, J., Aziz, I.A., Anh, B.N.

    Published 2021
    “…We have developed Metaheuristic algorithms includes the Genetic Algorithm (GA) and Ant Colony Optimization Algorithm (ACO), to solve the proposed model. …”
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    Development of Path Loss Models for Smooth and Convex Surfaces Terrains in Malaysian Environment by Wong, Peng Kiong

    Published 2004
    “…This study describes the development of path loss prediction model for smooth and convex surfaces terrains in Malaysian environment. …”
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    Thesis
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    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

    Published 2023
    “…The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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