Search Results - (( pattern visualization approach algorithm ) OR ( java application means algorithm ))
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…A highly parallel approach based on simple inter-map conjunctions, or correspondence distributions, is chosen and tested on synthetic and real patterns. …”
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Thesis -
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Visualizing pandemics with calendar heatmaps : a case study of COVID-19 in Malaysia
Published 2024“…The results showed that the calendar heatmap visualization approach was effective in helping users to understand COVID-19 trends and patterns. …”
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Book Section -
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A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
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Final Year Project / Dissertation / Thesis -
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Handling imbalance visualized pattern dataset for yield prediction
Published 2008“…The prediction of the yield outcome in a non close loop manufacturing process can be achieved by visualizing the historical data pattern generated from the inspection machine, transform the data pattern and map it into machine learning algorithm for training, in order to automatically generate a prediction model without the visual interpretation needs to be done by human. …”
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Book Section -
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. …”
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Journal -
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Predicting sales trends for school cooperative using Market Basket Analysis
Published 2025“…A Power BI dashboard was consequently developed to visualize these patterns and help strategic decisionmaking. …”
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Student Project -
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Programmable Spatially Variant Single Pixel Imaging Based On Compressive Sensing
Published 2021“…ReconNet Moreover , outperforms the conventional CS image recovery algorithms. This shows that the pro posed SVR approach with ReconNet is more suitable than the conventional approaches for practical cases.…”
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Final Year Project / Dissertation / Thesis -
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…However the proposed algorithm offers a promising approach to building intelligent systems.…”
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Final Year Project -
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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli
Published 2023“…By leveraging image processing techniques, statistical analysis and machine learning algorithms, Python enables the extraction of relevant features and patterns from data. …”
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Student Project -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Converged Classification Network For Matching Cost Computation
Published 2020“…This map is crucial for many applications such as 3D reconstruction, robotics and autonomous driving.The disparity map also prone to errors such as noises in the region which contains object occlusions, reflective regions, and repetitive patterns.So we propose this stereo matching algorithm to produce a disparity map and to reduce the errors by incorporating a deep learning approach. …”
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Article -
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Biometrics electronic purse
Published 1999“…This paper looked into using biometrics as a mean of authentication, thus requiring a new generation of Smart Card technology to be implemented in banking and multiple applications environment. …”
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Proceeding Paper -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
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A review of visualization techniques for duplicate detection in cancer datasets
Published 2025“…Drawing from literature in biomedical informatics, data quality, and visual analytics, it synthesizes current approaches and highlights key challenges. …”
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