Search Results - (( pattern visualisation using algorithm ) OR ( leave application optimization algorithm ))

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  1. 1

    A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES by Ling, Chien

    Published 2020
    “…The results for the experiment on visualisation of clustering methods, it showed that various clustering techniques have their visualisation for cluster analysis. …”
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    Final Year Project Report / IMRAD
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    Comparison Of Ridge Filters Performance in Human Vein Extraction Using 850nm Near Infrared Led Illumination by Abu Bakar Abd Rahman, Abdullah Bade, Fuei, Pien Chee

    Published 2023
    “…This paper investigates the performance of the ridge filters algorithm for vein feature extraction by using the NIR imaging technique to visualise human vein vessels. …”
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    Proceedings
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    Composing multi-relations association rules from crowdsourcing remuneration data by Siti Salwa Salleh, Nurhayati Zakaria, Norjansalika Janom, Syaripah Ruzaini Syed Aris, Noor Habibah Arshad

    Published 2022
    “…The data comprise a lot of redundancies, therefore an apriori algorithm is used to normalise it by removing redundancies and then extracting significant patterns. …”
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    Article
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    Automated recognition of Ficus deltoidea using ant colony optimization technique by Ishak, Asnor Juraiza, Che Soh, Azura, Marhaban, Mohammad Hamiruce, Khamis, Shamsul, Ghasab, Mohammad Ali Jan

    Published 2013
    “…At first, through image processing specified features are extracted from the Ficus deltoidea leaves such as vein, morphology and texture features and they construct a search space to be chosen for the optimal subset features that is selected by ACO algorithm as support vector machine (SVM) classify them. …”
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    Conference or Workshop Item
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    Urban green space spatio-temporal change influences on land surface temperature in Kuala Lumpur, Malaysia by Abu Kasim, Junainah

    Published 2020
    “…A linear regression technique was employed to investigate the correlation between both scenarios using spatial statistical analysis and further predicting the UGS pattern and LST gradient for 2025 using the Artificial Neural Network - Cellular Automaton (ANN-CA) model. …”
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    Thesis
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    Sales prediction for Adha Station by using predictive analytics by Mohd Mokhid, Muhammad Amier Latieff

    Published 2025
    “…A Power BI dashboard was developed to assist management in strategic planning by visualising current sales patterns, actual and projected performance, product-specific sales, and more data. …”
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    Student Project
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    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. However, for the non-intact leaves such as the deformed, partial and overlapped leaves that largely exist in practice, the global shape features are not efficient and these methods are not applicable.The dried leave parts and noise can degrade identification results and affect the quality of the extracted features which lead to poor classification results. …”
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    Thesis
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    Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

    Published 2024
    “…Results include descriptive and correlation analysis revealing crucial primary cooling system data patterns. Predictive modelling using k-nearest neighbour demonstrates high accuracy, precision, and recall metrics, while decision tree modelling raises considerations for further refinement. …”
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    Thesis
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    Expansion power system transmission using ant colony optimization: article / Izzataswad Ibrahim by Ibrahim, Izzataswad

    Published 2015
    “…This paper presents an application of ant colony optimization (ACO) to optimization the expansion transmission in power system. …”
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    Article
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    Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks by Al-Asaady, Maher Talal, Mohd Aris, Teh Noranis, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina

    Published 2025
    “…The study also highlights bibliometric trends, identifies underexplored areas such as adaptive and hybrid algorithms, and emphasizes the practical application of MHAs in optimizing ANN performance. …”
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    Article
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    Multi-array sensorised pillowcase as call detection alarm system for in ward tetraplegic patient / Normazlianita Mohamad Alias by Normazlianita, Mohamad Alias

    Published 2021
    “…To ensure the functionality of the proposed fabric-based pressure sensor, a colour-coded mesh plot was developed to visualise the sensor data. The reliability of the sensor was tested using a portable load cell. …”
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    Thesis
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    Extracting Object Oriented Software Architecture from C++ Source Code by Mresa, Ali Hussein A.

    Published 2000
    “…An Object-Oriented approach is used to design and implement the tool. Reverse engineering, design pattern, and graphics are the underlying techniques supplied. …”
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    Thesis
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    Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques by Ceesay, Omar M.

    Published 2011
    “…This thesis focuses on developing Voronoi Tessellation-based Coverage Optimization Algorithms for Static and Mobile Wireless Sensor Networks, where a large number of static nodes are supported by few mobile nodes in carrying out the sensing task. …”
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    Thesis
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    Predictive analytics for pacemaker medical instrument stock management of Transmedic Healthcare by Nawawi, Nafiz Danial

    Published 2025
    “…This study focuses on pacemaker inventory management regarding inefficiencies in forecasts, resultant overstocking, and stockouts due to highly manual data entry at the front end and limited ERP visualisation capabilities. The research applies the CRISP-DM methodology, examining current stock processes, and then collecting and cleansing historical data to develop Always Better Control (ABC) for stock analysis and predictive models using classification and also making a comparison between three algorithms, which are Naive Bayes, Random Forest and Decision Tree. …”
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    Student Project
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