Search Results - (( developing step conversion algorithm ) OR ( java data selection algorithm ))
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Then canonical Polyadic decomposition-based attribute reduction is applied to the offload-able task to reduce the data size. Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Thesis -
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Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Reducing of Inconsistent Data using Fuzzy Multi Attribute Decision Making for Accessing Data from Database
Published 2013“…Sample data was selected for experiments purposes. The result indicates fuzzy multi attribute decision making is a suitable technique in reducing inconsistent data from database. …”
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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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VOICE MODIFICATION USING DIGITAL TECHNOLOGY
Published 2004“…The project's major activities are to develop programs using MATLAB, that enable speech signal recording, analysis, synthesis, modification, and conversion. …”
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Final Year Project -
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The comparisons of OCR tools: a conversion case in the Malaysian Hansard Corpus development / Anis Nadiah Che Abdul Rahman ...[et al.]
Published 2019“…The study proposes that a step of corpus building can be made easier and manageable when a researcher understands the way an OCR tool works in order to choose the best OCR tool prior to the outset of the corpus development.…”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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The new efficient and accurate attribute-oriented clustering algorithms for categorical data
Published 2012“…IG-ANMI algorithm improves G-ANMI by developing a new attribute-oriented initialization method in which part of initial chromosomes is generated by using the attributes partitions. …”
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Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…Chatbot is a computer program that simulates human conversation through voice commands or text chats or both. …”
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Conference or Workshop Item -
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A new high step-up DC-DC converter for photovoltaic application: switch inductor cell combined with voltage doubler circuit
Published 2022“…A new model of switch inductor (SL) combined with a voltage doubler-employed DC-DC step-up converter has been developed here to get optimum output from the solar photovoltaic cell. …”
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Proceeding Paper -
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Catalytic conversion of methane and carbon dioxide in conventional fixed bed and dielectric barrier discharge plasma reactors
Published 2006“…The purpose of this study is to develop a new catalytic process for CH4 and CO2 utilization to produce C2 hydrocarbons and/or synthesis gas at high conversion and selectivity. …”
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Development of nonlinear model for plug flow reactor process
Published 2010“…The mathematical model based on first principles is developed then, the model equation is solving in MATLAB environment by doing algorithm for this process. …”
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Undergraduates Project Papers -
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A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…Another proposed algorithm is replica placement algorithm which selects and places only one replica in each cluster. …”
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Then, the proposed MPPT algorithm and dc-dc boost converter were designed and developed in the same tool. …”
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Peripheral Interface Controller (PIC) Based Maximum Power Point Tracking (MPPT) Algorithm For Photovoltaic (PV) DC To DC Boost Converter
Published 2016“…Thus, the output voltage from DC-DC boost converter will be boost up approximately to 60V DC output voltage from load and should minimize in ripple voltage and tends to reach constant DC output voltage. Therefore, the conversion of sustainable energy from Photovoltaic (PV) system and step up by DC-DC boost converter circuit will be capable utilize large amount of output voltage. …”
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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features
Published 2020“…With the proposed method the illumination model will fit with variation of illumination conditions in a whole image to generate an adaptive threshold for a novel columnar binary conversion method. The proposed method consists of five main stages, starting with eye area detection using the developed Viola-Jones algorithm. …”
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