Search Results - (( java implementation path algorithm ) OR ( pre implementation framework 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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Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…The improved algorithms were implemented in OSA dataset and UCI online databases for comparisons. …”
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An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…However,there is the issue of noisy dataset detected as incomplete data and the outlier class problem that affects sampling bias.Existing frameworks were deemed difficult in identifying the critical risk factors of diabetes;some of which were considerably inaccurate and consume substantial computation time.The purpose of this study is to develop a suitable framework for predicting diabetes risks.From a complete blood test,the framework can predict and classify the output of either having diabetes risk or no diabetes risk.A Diabetes Risk Prediction Framework (DRPF) was developed from the literature review and case studies were afterwards conducted in three private hospitals in Semarang.Analyses were conducted to find a suitable component of the framework—due to lack of comparison and analysis on the combination of feature selection and classification algorithm.DRPF comprises four main sections: pre-processing,outlier detection,risk weighting,and learning. …”
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Enhancement of parallel thinning algorithm for handwritten characters using neural network
Published 2005“…Thus, this project presents a framework for the implementation of a multilayer perceptron neural network with backpropagation algorithm, in the Parker thinning algorithm in order to produce a fast fully parallel thinning algorithm. …”
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Car dealership web application
Published 2022“…Hence, two transfer learning algorithms were proposed and implemented to provide initial performance boost to the River adaptive random forest regressor and classifier, respectively. …”
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Final Year Project / Dissertation / Thesis -
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Multi leader particle swarm optimization for optimal placement and sizing of multiple distributed generation for a micro grid
Published 2023“…Initially, the Particle Swarm Optimization was implemented to establish the optimal sizes of DGs and the performance of the implemented algorithm was analyzed and quantified. …”
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Embedded car plate image recognition system
Published 2008“…Usually, a general framework is: Pre-processing, Bounding, Character Segmentation, and Character Recognition. …”
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Security framework based multi agent system architecture to facilitate data fetching from cloud data storage
Published 2012“…In order to evaluate our proposed security framework based on MAS architecture, a pre-survey is conducted using a questionnaire survey. …”
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Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…For the abnormal eye, the images has been examined and confirmed by a doctor who checks the images for verified that the images are the cases of CA. The framework consists of three stages of implementation such as pre-processing, features extraction and classification. …”
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A concept paper on readiness in artificial intelligence (AI) mastery and its impact on 21st century pedagogy among pre-service history teachers
Published 2025“…Anchored in Vygotsky’s Constructivist Theory and the Technological Pedagogical Content Knowledge (TPACK) framework, the study aims to explore the gap between teachers’ awareness of AI and their practical and ethical preparedness to implement AI tools in the 21st century pedagogy classroom. …”
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Analysis characteristic and performance of passive Radio Frequency Identification (RFID) for 13.56MHz system / Mohd Faizul Azmy Amat
Published 2007“…Scopes of work include the algorithm for RFID flow in which frequency band will be continually implemented considering pre-determined constraints. …”
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User interface and interactivity design guidelines of algorithm visualization on mobile platform
Published 2019“…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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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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