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
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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Investigating and developing the best method in shortest path for implementing a geographical information system (e-map) for Peninsular Malaysia
Published 2005“…The shortest path is a part of the subject in the graph theory in the field of operational research. …”
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Monograph -
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Discrete simulation framework for wireless cellular networks.
Published 2008“…The performance of the developed simulator compared with the performance characteristics of existing algorithms. …”
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A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
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Conference or Workshop Item -
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Modeling of static and dynamic components of bio-nanorobotic systems
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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Meta-Heuristic Algorithms for Learning Path Recommender at MOOC
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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Cyclic Path Planning Of Hyper-Redundant Manipulator Using Whale Optimization Algorithm
Published 2023Article -
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Development of Path Loss Models for Smooth and Convex Surfaces Terrains in Malaysian Environment
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
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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