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Dynamic modeling by usage data for personalization systems
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2
3D terrain visualisation for GIS: A comparison of different techniques
Published 2011“…The comparison is based on the quality of terrain visualisation, representation of object on terrain, representation of slope, and error in terrain. …”
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Book Section -
3
A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
Published 2020“…There are many types of clustering techniques that have been developed included partitioning methods, hierarchical clustering, density-based clustering, model-based clustering, and fuzzy clustering. …”
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Final Year Project Report / IMRAD -
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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
Published 2024“…Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
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Thesis -
5
ENGINEERING DESIGN WITH PSO ALGORITHM
Published 2019“…Creating a PSO algorithm-based infrastructure integrating with the recommendation system will further enhance solution to the design problem. …”
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Final Year Project -
6
Explainable artificial intelligence-based intuitionistic fuzzy network TOPSIS preference relation models for sukuk investment decisions
Published 2025“…The properties of transparency were achieved through model design, while post-hoc explainability was addressed using visualisation, and the models were applied to sukuk data in selecting suitable investment alternatives. …”
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Thesis -
7
High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm
Published 2015“…This research aims to assist the evacuees to find the shortest path in a high rise building using a shortest path algorithm. The objective is to design and develop an evacuation route using shortest path algorithm based on the evacuation map of the building. …”
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8
Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…The Self-Organising Feature Map (SOM) was used to visualise mortality-related factors post-ACS. The performance of ML models using the area under the curve (AUC) ranged from 0.48 to 0.80. …”
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Article -
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Parameter estimation and outlier detection in linear functional relationship model / Adilah Abdul Ghapor
Published 2017“…As for the multiple outliers, a clustering algorithm is considered and a dendogram to visualise the clustering algorithm is used. …”
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…The first controller design is formulated so as to allow on-line modeling, controller design and implementation and thus, yield a self-tuning control algorithm. …”
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Thesis -
12
Interactive framework for dynamic modelling and active vibration control of flexible structures
Published 2008“…The design and implementation of the interactive learning system incorporating the simulation algorithms, modelling and control strategies, are developed using MATLAB. …”
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Article -
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A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
Published 2016“…The performance parameters and properties of chordal rings have been researched extensively as models for parallel and distributed interconnection topology models since their founding in 1981. …”
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14
SUDOKU HELPER
Published 2015“…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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Final Year Project -
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Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis
Published 2023“…Primary and secondary outcome measures A graphical model based on the Bayesian network (BN) approach has been considered. …”
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Article -
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Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space
Published 2022“…Current methods for solving the inverse kinematics solution for a hyper-redundant robot in three 3D are generally complex, difficult to visualise, and time intensive. The condition requires development of new algorithms for solving inverse kinematics more quickly and efficiently. …”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
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Urban green space spatio-temporal change influences on land surface temperature in Kuala Lumpur, Malaysia
Published 2020“…Thirdly, to develop an automated spatial prediction model that could potentially predict the UGS changes and their effect on the LST pattern. …”
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20
Optimizing E-commerce inventory management using a machine-learning approach
Published 2025“…In addition, clustering algorithms, including DBSCAN and K-means, were applied to segment customers based on purchasing behaviour, with DBSCAN achieving a Silhouette Score of 0.9708, suggesting well-separated clusters. …”
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