Search Results - (( java implementation path algorithm ) OR ( using team learning 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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5
Auto raise hand in Microsoft teams (API/Extension)
Published 2023“…To be more specific, it is regarding facial expression recognition based on deep learning. Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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Digital assistant for workspace apps
Published 2022“…This project proposes a digital assistant to be used in Microsoft Teams for improving efficiency to complete an organization’s task using Teams workspace, by simplifying and giving advisory on steps required to complete a task and automating repetitive tasks. …”
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Dynamic path planning algorithm in mobile robot navigation
Published 2011“…In this research, Genetic Algorithm (GA) is used to assist mobile robot to move, identify the obstacles in the environment, learn the environment and reach the desired goal in an unknown and unrecognized environment. …”
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Beat: heart monitoring system
Published 2022“…Machine learning algorithms were also developed by our team to detect abnormalities in heart rate. …”
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Proceeding Paper -
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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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10
Comparative analysis of machine learning models to predict common vulnerabilities and exposure
Published 2024“…The supervised machine learning model which is Gaussian Naive Bayes and unsupervised machine learning models that utilize clustering algorithms which are K-means and DBSCAN were employed for the predictive modelling. …”
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Forecast of Muslimah fashion trends in Caca's company / Muhammad Saifullah Mohd Taip
Published 2023“…Researchers are using CRISP-DM as their method for finishing the current project. …”
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Student Project -
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Dynamic Mapping and Visualizing Dengue Incidences in Malaysia Using Machine Learning Techniques
Published 2021“…K-mean, KNN, and Expectation-Maximization (EM) algorithms are used to cluster the cases and visualize the pattern of dengue spread. …”
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Deep learning enabled fall detection exploiting gait analysis
Published 2022“…Secondly, we discussed the proposed DLFD method which exploits fall and non-fall RGB video to extract gait features using MediaPipe framework, applies normalization algorithm and classifies using bi-directional Long Short-Term Memory (bi-LSTM) model. …”
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Relationship between psycho-maturity and performance of sepak takraw
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Book Chapter -
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Crowdsource requirements engineering: Using online reviews as input to software features clustering
Published 2017“…T h e extracted reviews were then clustered into related groups by using K-Means algorithm. The clustering results achieved by K-Means were evaluated in terms of cluster compactness and cohesion. …”
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Crowdsource requirements engineering: Using online reviews as input to software features clustering
Published 2024journal::journal article -
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Automate customer support handling E-Commerce enquiry using ChatGPT
Published 2024“…The methodology involves the design of a distributed system architecture for scalability and efficient task distribution. Machine Learning-based Named Entity Recognition (NER) is employed to identify and extract specific entities, while contextual analysis algorithms determine message relevance for summarization. …”
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Final Year Project / Dissertation / Thesis
