Search Results - (( java implementation modified algorithm ) OR ( using sheet using algorithm ))
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1
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
2
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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4
Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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5
Sheet C1 Pattern Number Recognition Using Artificial Immune System Optimization
Published 2022“…In order to recognize the numerical patterns on sheet C1, we, therefore, require a method that uses the Artificial Immune System (AIS), specifically the CSA (Clonal Selection Algorithm) algorithm, which is one of the AIS system's algorithms for optimization. …”
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6
Breakdown Film Script Using Parsing Algorithm.
Published 2020“…The scenario is broken down into more detailed parts using the parsing algorithm. The film script used is a script in Bahasa Indonesia. …”
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Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending
Published 2006“…Nowadays, the importance of this problem increases because of the use of sheet-metal parts with high mechanical characteristics. …”
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8
Environmental Assessment of Alkali-Catalysed Biodiesel Process Using War Algorithm
Published 2013“…Hence to determine the PEI value, WAR Algorithm is then introduced. It is used to evaluate the environmental friendliness of a process and was carried out by using the developed Microsoft Excel spread sheet. …”
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Undergraduates Project Papers -
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Extraction of junctions, lines and regions of irregular line drawing : the chain code processing algorithm
Published 2003“…Conceptualization stage in designing engineering product is a process of translating engineer’s idea onto a sheet of paper. The product is always sketched on a sheet of paper using pencil. …”
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11
Modelling of elastic modulus degradation in sheet metal forming using back propagation neural network
Published 2015“…The aim of this study is to develop an elastic modulus predictive model during unloading of plastically prestrained SPCC sheet steel. The model was developed using the back propagation neural networks (BPNN) based on the experimental tension unloading data. …”
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Optimization of photovoltaic module electrical characteristics using genetic algorithm
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13
Prediction of abrasive waterjet machining of sheet metals using artificial neural network
Published 2022“…The present study attempts to predict the surface roughness during the waterjet machining process for a successful cutting of sheet metals using low pressure. Artificial neural network model was used as the method for prediction. …”
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Conference or Workshop Item -
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Numerical solution of Williamson hybrid ferrofluid over a stretching sheet / Puteri Ereena Shafira Mustafa
Published 2023“…The transformed ODEs are solved numerically by using mathematical algorithm encoded in Maple software. …”
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15
Prediction of abrasive waterjet machining of sheet metals using artificial neural network
Published 2022“…The present study attempts to predict the surface roughness during the waterjet machining process for a successful cutting of sheet metals using low pressure. Artificial neural network model was used as the method for prediction. …”
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16
Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network
Published 2015“…The aim of this study is to develop an elastic modulus predictive model during unloading of plastically prestrained SPCC sheet steel. The model was developed using the back propagation neural networks (BPNN) based on the experimental tension unloading data. …”
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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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Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…This research is focusing on better ROI for iris segmentation by reducing the unwanted area, in order to maximize the useful region contain the CA presence. The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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19
Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2013“…The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. …”
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