Search Results - (( semantics implementation level 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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SEMANTIC ROLE LABELING (SRL) FOR THE DISAMBIGUATION OF NATURAL LANGUAGE PROCESSING (NLP) SYSTEMS IN LOW-RESOURCED LANGUAGES AS KYRGYZ LANGUAGE
Published 2024“…Which started in accordance with Chomsky's Universal grammar theory to analyze language via algorithms which were implemented according to the language syntactical structure. …”
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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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Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber
Published 2019“…This project will be using Latent Semantic Analysis Algorithm to cope with comparisons of khutbah texts as it’s cover most of the requirement of the system. …”
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7
An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies
Published 2016“…An innovative aspect of our algorithm lies in its ability to identify summarizing strategies at the syntactic and semantic levels. …”
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Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman
Published 2020“…Ontology can be seen as a knowledge base that can be used to improve the image retrieval process with the aim of reducing the semantic gap between visual features and high-level semantics. …”
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Automated visual defect detection using deep learning
Published 2022“…The main goal of this project is to study and develop various automated defect detection models by utilizing state-of-the-art deep learning segmentation algorithms, including U-Net, Double U-Net, SETR, TransU-Net, TransDAU-Net, CAM and SEAM to perform semantic segmentation in fully supervised and weakly supervised learning manners. …”
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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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Computer-assisted pterygium screening system: a review
Published 2022“…The deep learning networks have been successfully implemented for three major purposes, which are to classify an image regarding whether there is the presence of pterygium tissues or not, to localize the lesion tissues through object detection methodology, and to semantically segment the lesion tissues at the pixel level. …”
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