Search Results - (( developing data visualization algorithm ) OR ( its application using algorithm ))
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. …”
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Thesis -
2
Development of obstable avoidance system for 3D robot navigation
Published 2024“…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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Final Year Project / Dissertation / Thesis -
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Augmented reality monitoring system for cross-belt conveyor in advanced automation line / Sukarnur Che Abdullah ... [et al.]
Published 2025“…The algorithms for the conveyor system were implemented using C# within Visual Studio and Unity environments. …”
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4
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…In this study an intelligent learning system was developed to automate the collection of the machining data used by the skilled machinist. …”
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5
Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…Then, a Machine Learning Algorithm (MLA) is used to train and test the data before a classifier is used to classify the new incoming dataset. …”
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Proceeding Paper -
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. The collected data from LinkedIn profiles then undergoes data preprocessing. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
“…—In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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10
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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11
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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12
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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Article -
13
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. Because of its widespread use in many applications, it remains an important and extensive research brand in data mining. …”
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14
Sentiment analysis of customer review for Tina Arena Beauty
Published 2025“…An interactive dashboard was developed using Microsoft Power BI to visualize key sentiment trends by product and platform, providing Tina Arena Beauty with actionable insights to understand customer satisfaction, identify dissatisfaction patterns, and improve product and service offerings. …”
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Student Project -
15
Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm
Published 2004“…The proposed technique based on the watershed algorithm, which is applied to the gradient magnitude of the MRI data. …”
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The evolution and trend of chain code scheme
Published 2008“…Since it was introduced by Freeman, the development of chain code and its application increases rapidly. …”
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Enhancing data integrity in internet of things-based healthcare applications: A visualization approach for duplicate detection
Published 2025“…However, scalability limitations were observed in larger datasets, where visual clarity declined. These findings highlight the value of visualization as a preliminary data quality assessment tool and suggest future integration with advanced detection algorithms to enhance robustness and scalability.…”
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Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm
Published 2010“…WEKA program application was used for main chain angles (Phi and Psi) data classification. …”
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Thesis -
20
Courier delivery services visualisor (CDSV) with an integration of genetic algorithm and A* engine
Published 2017“…Distributors are unable to plan their distribution path with the minimal distance.Furthermore distributors are only able to reach each district distribution centre once a day and revisit the distribution centre will increase the time spent and operation cost. This study developed Courier Delivery Services Visualisor (CDSV) that is able to visualize the best route to be taken by distributor, so that the courier service can arrive on time.CDSV employed Genetic Algorithm (GA) and Astar Algorithm (A*) that integrates with Geographical Information System (GIS) data.A graphical user interface in the form of simulation map that suggests the best route and the optimal distance are displayed for easier courier service distribution references.…”
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