Search Results - (( solution visualisation using algorithm ) OR ( program segmentation mining algorithm ))
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Multi-dimensional Data Visualisation using Mobile Augmented Reality
Published 2020“…Therefore, this algorithm uses AR to provide a multi-display solution for improved data visualisation after processing, summarising and classifying data. …”
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ENGINEERING DESIGN WITH PSO ALGORITHM
Published 2019“…This dissertation will demonstrate the ability of PSO Algorithm in improving design areas by the use of recommendation system that helps engineering designers to visualise an optimal design.…”
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Final Year Project -
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Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space
Published 2022“…In this study, an axis manipulation using a geometrical approach is used. Initially, a general algorithm for a 2-m-link hyper-redundant robot in 3D is generated. …”
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Secured agriculture sensor data based on end-to-end encryption using raspberry pi
Published 2025“…This project addresses these security concerns by developing a secure data collection and visualisation system using Raspberry Pi and Node-RED. …”
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Final Year Project / Dissertation / Thesis -
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Gps solution for active queue management using android platform
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Menu recommendation for Restoran Jannat Saba using Market Basket analysis / Dinie Sorfina Fathanah Kamarul Ariffin
Published 2025“…The experts gave constructive feedback and suggestions such as instruction should be given for some visualisations for ease of use. Overall, the project showcases the power of data analytics in optimising operations and customer satisfaction, with plans to integrate real-time data and expand analysis for seasonal trends and customer demographics for specialised recommendations.…”
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Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzu...
Published 2023“…This study introduces a web-based system that uses Twitter sentiment analysis to visualise reviews of Malaysian fast-food restaurants. …”
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Book Section -
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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“…This application, integrated with a predictive model, offers real-time visualisation of primary cooling system characteristics through handheld devices. …”
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Analysis of the dynamics of a vector-borne infection with the effect of imperfect vaccination from a fractional perspective
Published 2024“…To assess the impact of various parameters on the dynamics of chikungunya, we examine solution pathways using the Laplace-Adomian method of disintegration. …”
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Explainable artificial intelligence-based intuitionistic fuzzy network TOPSIS preference relation models for sukuk investment decisions
Published 2025“…Three explainable models were developed, namely, intuitionistic fuzzy network TOPSIS, intuitionistic fuzzypreference relation, and intuitionistic fuzzy network preference relation with a weighting algorithm. 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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Arfict: Indoor navigation mobile application using augmented reality (AR) for FICT
Published 2025“…Navigation paths are optimised using the A* algorithm, while ARCore integrates sensor data from the device’s gyroscope and accelerometer to enhance tracking accuracy. …”
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IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]
Published 2025“…Data are transmitted to Firebase for cloud storage and further processed using Google Sheets for visualisation and analysis. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…The semi-automated dental staging system developed in this study is based on the Malay children’s population and uses a brain-inspired learning algorithm termed "deep learning". The methodology is comprised of four major steps: image preprocessing, which adheres to the inclusion criteria for panoramic dental radiographs, segmentation, and classification of mandibular premolars according to Demirjian's staging system using the Dynamic Programming-Active Contour (DP-AC) method and Deep Convolutional Neural Network (DCNN), respectively, and statistical analysis. …”
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