Search Results - (( development using prioritization algorithm ) OR ( java implementation path algorithm ))
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1
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…The recent trend of software development uses OO paradigm. 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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2
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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3
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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5
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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6
Multi-criteria evolutionary regression test prioritization for dynamic object-oriented programs
Published 2019“…This paper proposed new regression testing technique that uses multiple coverage criteria for regression test prioritization of dynamic object-oriented language using genetic algorithm. …”
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Multi-source data fusion framework for remote triaging and prioritization in telemedicine
Published 2015“…In addition to that, the demonstration on how MSHA can be applied in a healthcare telemedicine environment was presented using a proposed scenario. Simulation results, based on datasets for different symptoms of heart diseases,demonstrate the superiority of MSHA algorithms as compared to benchmark algorithms in terms of triaging and prioritizing patients remotely and also in terms of data fusion processing in healthcare application. …”
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Evolutionary cost cognizant regression test prioritization for object-oriented programs based on fault dependency
Published 2018“…Furthermore, they did not consider incorporating evolution process such as applying genetic algorithms to their technique. In this work, we proposed an evolutionary cost-cognizant regression testing approach that prioritizes test case according to the rate of severity detection of test cases connected with dependent faults using genetic algorithms. …”
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An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Test case prioritization (TCP) is used to prioritize and schedule test case execution to conduct higher-priority test cases to optimize the software testing process. …”
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Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nu...
Published 2015“…This project will apply the use of adaptive Bayesian network algorithm as it is more efficient and the most suitable than some of the possible techniques which have been studied.…”
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11
Late Acceptance Hill Climbing Based Strategy for Test Redundancy Reduction and Prioritization
Published 2015“…To address redundancy issues, many useful strategies (e.g. HGS, GE, and GRE) have been developed in the literature. …”
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Web-based system for prioritization of research area in FSKM: a web system engineering approach / Mohd Azmeer Omar
Published 2012“…Then the most important research is calculated using scoring algorithm. The systems is developed using web system engineering approach with the latest Java technology and web framework to simplify development process. …”
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13
Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection
Published 2024“…The data was gathered using real-time packet capturing tools which were then processed and moved with model development using different deep learning algorithms such as, LSTM, MLP, RNN and Autoencoders. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…To develop proposed model, with the aim of obtaining the best array of features, first, feature ranking techniques such as the Fisher's discriminant ratio and class separability criteria were used to prioritize features. …”
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Development of reliability-centered maintenance model using linguistic failure mode and effect analysis
Published 2019“…In the proposed RCM model, linguistic failure mode and effect analysis (LFMEA) was used to identify and prioritize the risk weight of FMs in the first section. …”
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A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis
Published 2015“…In stage-1, a Genetic Algorithm (GA) is used to search for a small set of fuzzy rules to be gathered from FMEA users. …”
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A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis
Published 2015“…In stage-1, a Genetic Algorithm (GA) is used to search for a small set of fuzzy rules to be gathered from FMEA users. …”
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Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan
Published 2024“…The algorithm undergoes rigorous training with a vast dataset to ensure high prediction accuracy and reliability. …”
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20
Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
Published 2024“…The developed BGD algorithm's effectiveness is further validated through a comparative analysis with conventional methods…”
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