Search Results - (( developing visualisation using algorithm ) OR ( based application learning algorithm ))
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…Dynamic characterisations of one-dimensional flexible beam and two-dimensional flexible plate structures are presented and simulation algorithms characterising the behaviour of each structure is developed using finite difference methods. …”
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Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…Hybrid combinations of feature selection, classification and visualisation using machine learning (ML) methods have the potential for enhanced understanding and 30-day mortality prediction of patients with cardiovascular disease using population-specific data. …”
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A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
Published 2020“…Hence, numerous work on the detection of lung disease using deep learning can be found in the literature. …”
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Multi-dimensional Data Visualisation using Mobile Augmented Reality
Published 2020“…This research proposes and develops a multi-display data visualisation algorithm using mobile augmented reality, as augmented reality (AR) is beyond the two-dimensional screen. …”
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3D terrain visualisation for GIS: A comparison of different techniques
Published 2011“…Geographic Information System (GIS) applications are now moving towards 3D as it has a better representation of the real world.Most GIS applications now can be visualised not only in 2D but also in 3D.Currently most of the applications are capable of operating in an online environment such as Google Earth, Microsoft Virtual Earth and World Wind.Recently, many people use these online applications for their daily work and also for decision making.Terrain visualisation is an important aspect for these three applications, in visualizing the world in 3D.The quality of terrain visualisation depends on the techniques used by the developer.The research for generating good quality terrain visualisation for depicting the real world is ongoing and faces big challenges. …”
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Book Section -
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A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
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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The enhancement of mammographic images of breast cancer using median filtering (software development ) / Noor Saedah Selamat
Published 1996“…In this project, the development of median filtering algorithm were used to improve the quality of mammography images, hence this image can be used to determined and to detect any abnormalities in the image. …”
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Agro-ento bioinformation: towards the edge of reality
Published 2002“…The primers, which entrain processes, both natural and man-induced, include mechanisms such as protocols, algorithms, visualisations, and structural and visual designs. …”
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Inaugural Lecture -
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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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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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E4ML: Educational Tool for Machine Learning
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects:Conference paper -
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Propose a New Machine Learning Algorithm based on Cancer Diagnosis
Published 2018“…In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.…”
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Gps solution for active queue management using android platform
Published 2021“…Tools used to develop the project is Android Studio with Google Firebase as database of this project. …”
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Final Year Project / Dissertation / Thesis -
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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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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…In this paper, we propose a generalized RBF (GRBF) model to reduce the number of basis functions and thus alleviate curse of dimensionality. An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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Proceeding Paper -
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Performance of correlational filtering and deep learning based single target tracking algorithms / ZhongMing Liao and Azlan Ismail
Published 2023“…This paper closely follows the tracking framework of target tracking algorithms and discusses in detail the traditional visual target tracking methods, the mainstream single target tracking algorithms based on correlation filtering, and the video single target tracking algorithms based on deep learning. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…Machine Learning (ML) is seen as a promising application that offers autonomous learning and provides optimized solutions to complex problems. …”
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