Search Results - (( java implementation path algorithm ) OR ( spatial navigation using 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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Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi
Published 2008“…Dijkstra's algorithm is one of the algorithms that could be used in network analysis process especially for 2D shortest route data. …”
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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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A cognitive mapping approach in real-time haptic rendering interaction for improved spatial learning ability among autistic people / Kesavan Krishnan
Published 2024“…This research also aims to present a reliable autonomous algorithm that minimizes the issues with localization and navigation skills among autistic people in a HBVE to improve their wayfinding and spatial knowledge. …”
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Testing the minimal bounded space method on vision-based drone navigation / Yap Seng Kuang
Published 2021“…Recently, the availability of the deep learning algorithm also encourages the object-based approach for drone navigation. …”
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Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang
Published 2022“…In contrast, robots use empirical, low-level HOG and SURF features in their landmark extraction for navigation. …”
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Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The techniques presented here can be used in a wide range of applications including video surveillance, vision based navigation, video editing and video indexing.…”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…Spatial information of desired color in segmented image has been used for calculating the robot heading angle which is used by mobile robot controller for navigation. …”
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Natural extensions: Bat algorithm with memory
Published 2023“…Using the same approach, bats in existing BA is extended with memory capability to enable them to navigate easily over familiar locations. …”
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Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
Published 2020“…Water depth from SDB estimation is based on in-Situ data and can be used to make navigation. Thus, the aim of this study is to assess the estimated near-shore water depth using Spot 7 satellite imagery with In-Situ measurement at Sungai Dinding, Lumut Perak. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…Focusing on clustering algorithms, the study employs popular methods like K-Means Clustering, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Agglomerative Hierarchical Clustering, and Mean Shift Clustering to understand customer characteristics and behaviors. …”
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3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
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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