Search Results - (( java application clustering algorithm ) OR ( variable operational data 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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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
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Final Year Project -
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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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Fault diagnostic algorithm for precut fractionation column
Published 2004“…The algorithm has been successful in detecting the deviations of each variable by testing the data set. …”
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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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A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data
Published 2022“…Actual variable load data and PV generation data are considered to conduct the simulation case studies which are col-lected from a real IMG system. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…The study used input energy data from 8 variables for developing energy models. …”
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Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data
Published 2023“…Previous work has focused only on specific weather variables and algorithms, and there is still a need for a model that uses more variables and algorithms that have higher performance. …”
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One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network
Published 2012“…By using 'seen' and 'unseen' of electrical energy demand data were used to test the performance of the proposed algorithm. …”
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Student Project -
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Development of a rule-based fault diagnostic advisory system for precut fractionation column
Published 2005“…The developed algorithm is expected to enhance the safety of operation in oleochemical industry. …”
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Optimum Power Production of Small Hydropower Plant (SHP) Using Firefly Algorithm (FA) in Himreen Lake Dam (HLD), Eastern Iraq
Published 2017“…The variables mentioned are net turbine head, rate of water flow and power production which had been gathered in the data during a research throughout a 10-year period. …”
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DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS
Published 2011“…An integrated plant data preparation framework for seven boiler trips with related operational variables, has been proposed for the training and validation of the proposed artificial intelligent systems. …”
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Feature selection for high dimensional data: An evolutionary filter approach.
Published 2011“…Therefore adapting genetic algorithm to cope with the high dimensionality of the data becomes increasingly appealing. …”
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Application of Hybrid Evolutionary Algorithm and thematic map for rule set generation and visualization of chlorophyta abundance at Putrajaya lake / Lau Chia Fong
Published 2013“…HEA is run on the training set in order to provide insights on the relationships between input variables and the algae abundance. Performances of the rule sets are assessed using Receiving Operating Characteristic (ROC) with true positive rate. …”
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Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]
Published 2024“…The study used a retail store dataset consisting of 522,064 rows and 7 variables. Data pre-processing was performed to clean and encode the data to be used in the model. …”
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Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool
Published 2022“…Therefore, this study aims to investigate the best algorithm for data filtration and how to use it to obtain accurate data for measuring TTR. …”
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