Search Results - (( java implementation means algorithm ) OR ( parameter implementation developing algorithm ))
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1
A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
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Final Year Project / Dissertation / Thesis -
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Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…The simulation results for the first and second models are done using the data obtained from Malaysia distribution network (DISCO-Net) and 69 bus test system that were implemented using Java Agent Development Framework package software. …”
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Thesis -
3
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. …”
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Journal -
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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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5
Biometrics electronic purse
Published 1999“…This paper looked into using biometrics as a mean of authentication, thus requiring a new generation of Smart Card technology to be implemented in banking and multiple applications environment. …”
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Proceeding Paper -
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Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition
Published 2014“…The motor control algorithm is developed by using DC motor control theory, which involves determining the motor's mechanical and electrical parameters.Upon the completion of mechanical fabrication, circuit design and parameter extraction, the process of developing the navigation algorithm begins. …”
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Final Year Project -
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Movie recommendation system / Najwa Syamimie Hasnu
Published 2020“…PHPMyAdmin is used to store the dataset and also acts as a database for user information. The algorithm chosen was implemented using Java Programming language and was tested using Root Means Square Error (RMSE) formula.…”
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Thesis -
8
Image clustering comparison of two color segmentation techniques
Published 2010“…This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. …”
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Thesis -
9
Three phase induction motor coupled to DC motor in hybrid electric vehicle application
Published 2011“…A novel algorithm software mode observer based induction motor controller with on-line parameter adaptation is then presented. …”
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10
Sequence-based interaction testing implementation using Bees Algorithm
Published 2023“…In this paper we present a sequence-based interaction testing strategy (termed as sequence covering array) using Bees Algorithm. We discuss the implementation, present and compare the results with existing sequence covering array algorithm. � 2012 IEEE.…”
Conference paper -
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Development Of Motion Planer And Navigation System For An Office Assistant Robot
Published 2021“…In order for the robot to navigate autonomously in the office, navigation algorithm and motion planner were implemented on these robot. …”
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Final Year Project / Dissertation / Thesis -
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Automatic control of flotation process using computer vision
Published 2015“…A control strategy based on froth model was then designed in order to optimize the visual characteristics of froth, which lead to the control of the metallurgical parameters in an indirect manner. Finally, a control strategy implementing the developed froth model and prediction system was introduced for direct optimization of metallurgical parameters. …”
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Thesis -
13
Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]
Published 2011“…The initial phase involved the development of the FSSM of the superheater system. In order to enhance the implementation of the algorithm, it is necesssary to develop an efficient computation program together with the user's interface. …”
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Research Reports -
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ANALYSIS AND INTERPRETATION OF PRESSURE TRANSIENT TEST DATA BY RECENT ROBUST DECONVOLUTION METHODS
Published 2013“…In this work, by using the recent robust deconvolution algorithm of Pimonov et al. and/or the ones implemented in Weatherford PanSystem Well Test Software, the effects of the algorithmic parameters (including error levels in pressure and rate data, and the curvature constraint value) as well as the initial pressure on the deconvolved responses are investigated. …”
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Final Year Project -
15
The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…However, all the data tends to be noisy and not fit. That is why many parameter estimation methods have been developed since their first introduction to determine the best value for a particular parameter. …”
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Article -
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Optimization machining parameters in pocket milling using genetic algorithm and mastercam
Published 2023“…Genetic Algorithm (GA) has been implemented to obtain the optimum parameters. …”
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Conference or Workshop Item -
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…The first enhancement is the implementation of the mass ratio parameter as the Kbest agents. …”
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Thesis -
18
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE is also used to develop a new dynamic parameter identification framework to estimate the barycentric parameters of the CRS A456 robot manipulator. …”
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Thesis -
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PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM
Published 2011“…This research focuses on the use of binaryencoded genetic algorithm (GA) to implement efficient search strategies for the optimal architecture and training parameters of a multilayer feed-forward ANN. …”
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