Search Results - (( java implementation clustering algorithm ) OR ( programming code prediction algorithm ))
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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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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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Final Year Project -
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A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Conference or Workshop Item -
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System identification using Extended Kalman Filter
Published 2017“…All the coding simulation and the results analyzed was done using Matlab programming software.…”
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Student Project -
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A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus
Published 2023“…Improved Fast Evolutionary Programming (IFEP), Evolutionary Programming- Dolphin Echolocation Algorithm (EPDEA) and Evolutionary Programming-Firefly Algorithm (EPFA). …”
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Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir
Published 2019“…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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Development of learning algorithm of passive joint for 3R under-actuated robot / Mohd Amiruddin Fikri Yaakob
Published 2015“…The approach embedded Artificial Neural Network (ANN) algorithm and SIMULINK block diagram. Experiments were conducted to predict an algorithm on position angle measurement either SIMULINK block diagram or program code method applied to three joints; Active 1, Active 2 and Passive respectively. …”
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Solar power profile prediction for low earth orbit satellites
Published 2009“…This paper presents the development of algorithms using MATLAB® codes to predict the in-orbit satellite power profile. …”
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Finite element modelling of damage fracture and fretting fatigue
Published 2012“…Furthermore, crack propagation algorithm is programmed within FE code using the principles of Fracture Mechanics and Paris law. …”
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Proceeding Paper -
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Predictive Analytics of the Likelihood Of Road Accidents by Location
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Final Year Project -
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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A STUDY OF PROTECTION SYSTEM TO IMPROVE POWER SYSTEM RELIABILITY USING ATP (ALTERNATIVE TRANSIENT PROGRAM)
Published 2007“…The relays succesfully fuctioned according to the algorithm when simulated under different disturbance scenarios and the results obtained were same as the predicted output.…”
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Final Year Project -
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Development of finite element model for soil-structure interaction
Published 2014“…Furthermore, the accuracy of the program code is also verified through analysis of similar examples in literature and then results are compared with SAP2000 and those available in literature. …”
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis
Published 2025“…Attribute selection through Information Gain Attrite Evaluation model highlighted Program Code, Course Code and Type of Course as the strongest predictors of course approval and demand levels. …”
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Flood damage cost prediction using random forest / Ainul Najwa Azahari and Norlina Mohd Sabri
Published 2024“…The methods employed in this research include data collection, data pre-processing, backend engine coding and user interface design. This project was implemented using the Python programming language. …”
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