Search Results - (( developing world path algorithm ) OR ( java visualization using algorithm ))
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1
Visdom: Smart guide robot for visually impaired people
Published 2025“…An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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2
A performance analysis of association rule mining algorithms
Published 2016“…In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. …”
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3
Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…Nonetheless, the A • algorithm do have some unique properties which is more efficient in finding the shortest path especially in human real-world problem. …”
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4
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…We hyave used the CPU profiler of Oracle JavaTM VisualVM to monitor the execution of LRE-TL as well as USG algorithms. …”
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5
A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance
Published 2022“…With application of the all-direction border scan, it outperforms the A-star (A*) and PRM algorithms and provides safer and shorter paths. Furthermore, the path planning approach was validated for local planning in simulation and real-world tests, in which the proposed method produced the best path compared to the original LS algorithm.…”
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6
Autonomous mobile robot: Path planning using backward chaining
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7
Optimised multi-robot path planning via smooth trajectory generation
Published 2024“…The deployment of multi-robot system (MRS) in real-world applications like warehouses and manufacturing plants has increased the importance of path planning algorithms for MRS. …”
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Final Year Project / Dissertation / Thesis -
8
Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
Published 2012“…Therefore, this project is develop to find the shortest path which means to find a path with minimum distance between two locations by apply the algorithm of Particle Swarm Optimization technique.This system is expected to solve the shortest path and identify the optimal path.Due to this,it is tend to reduce the time consume in specific situation with the determining of shortest path. …”
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Undergraduates Project Papers -
9
Three-dimensional coverage control for multi-unmanned aerial vehicle
Published 2024“…This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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Final Year Project / Dissertation / Thesis -
10
Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah
Published 2013“…The Bug algorithm is a local path planning methodology for mobile robot which detects the nearest obstacle as the robot moves towards a target with no or very limited information about the environment. …”
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11
Laser simulator: a novel search graph-based path planning approach
Published 2018“…A novel technique called laser simulator approach for visibility search graph-based path planning has been developed in this article to determine the optimum collision-free path in unknown environment. …”
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12
Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin
Published 2019“…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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Thesis -
13
Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure
Published 2019“…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
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14
Path Planning Optimization For Solar-Powered Perpetual Flight Across The World
Published 2018“…A validated algorithm with overall error percentage less than 10 % is developed to simulate the solar-powered flight.Next, the detailed path planning is planned which allow an UAV to perform mapping mission at constant altitude, 600 m above the Earth’s surface with minimized geometric error without fail. …”
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Monograph -
15
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Algorithms are developed for a simulated mobile robot that uses an array of range finders for navigation. …”
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Monograph -
16
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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17
Improvement and application of particle swarm optimization algorithm
Published 2025“…This method combines CPTD with the Genetic Algorithm and PSO (GAPSO), resulting in an effective strategy for dynamic formation reconfiguration and path optimization. …”
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18
Dynamic force-directed graph with weighted nodes for scholar network visualization
Published 2022“…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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19
Efficient multi-UAV coordination via rl: joint path planning and task scheduling for post-disaster UAV-assisted MEC systems
Published 2025“…In this paper, we propose the Geometric Reinforcement Learning Algorithm (GRLA), a unified framework for joint path planning and task scheduling in multi-UAV MEC systems. …”
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20
Path planning methods for autonomous vehicles at intersections: A review
Published 2026“…Overall, this review aims to support the development of AV path planning, ultimately contributing to safer and more efficient autonomous systems in urban environments.…”
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