Search Results - (( developing uum application algorithm ) OR ( java implementation path algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
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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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
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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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
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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Smart appointment organizer for mobile application / Mohd Syafiq Adam
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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Developing triad design algorithms based on compatible factorization
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E4ML: Educational Tool for Machine Learning
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Mobile Map-Based Positioning System Using Segmentation Algorithm (MM-BPS)
Published 2008“…The research has targeted on UUM vital buildings. Vaishnavi and Kuechler Methodology has been implemented in various applications and it considered as a general methodology to develop totally new algorithms and create new information according to the accumulated information. …”
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Evaluation of structured questions using modified BLEU algorithm
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Web Based Supervisor Supervisee Project Matching System
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Assessing the simulation performances of multiple model selection algorithm
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Estimation of the denitrification in the lower Mississippi Valley
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Review of Multi-Objective Swarm Intelligence Optimization Algorithms
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