Search Results - (( developing fraction factor algorithm ) OR ( java extraction method algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The proposed method, XiFLEX has been implemented using two different techniques (java based & XQuery) and compared with the original FLEX algorithm in its basic implementation and the Apriori algorithm for frequent patterns generation. …”
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2
Image clustering comparison of two color segmentation techniques
Published 2010“…There are many algorithm for analysing clustering each having its own method to do clustering. …”
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3
Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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4
Novel approach for secure cover file of hidden data in the unused area within EXE file using computation between cryptography and steganography
Published 2009“…The strength of the information hiding science is due to the non-existence of standard algorithms to be used in hiding secret messages. Also there is randomness in hiding methods such as combining several media (covers) with different methods to pass a secret message. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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6
Uncertain viscoelastic models with fractional order: a new spectral tau method to study the numerical simulations of the solution
Published 2017“…A new and accurate numerical algorithm using a spectral tau technique based on the generalized fractional Legendre polynomials (GFLPs) is developed to solve those problems under uncertainty. …”
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MapReduce algorithm for weather dataset
Published 2018“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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8
A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…Recent research has focused on analysing Android Intent in the XML file. We propose a new method of analysing Android Intent in Java code, which includes implicit intent and explicit intent. …”
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9
Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin
Published 2012“…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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10
Solar Photovoltaic Maximum Power Point Tracking via Predictive Technique
Published 2022“…The first stage of this study is to develop the MPPT algorithm that are commonly divided into six types; Perturb and Observe (P&O), Incremental Conductance (INC), Fractional Open Circuit Voltage (FOVC), Fractional Short Circuit Current (FSCC), Artificial Neural (ANN) and Fuzzy Logic Control (FLC). …”
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Final Year Project Report / IMRAD -
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The data collected for this machine learning model is using the statistically significant features from vibration and acoustic analysis. The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…An attacker can easily reconstruct source code from such intermediate formats to extract sensitive information such as proprietary algorithms present in the software. …”
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13
The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The methodology is based on JavaScript and PHP languages for developing a new technique called DetectCombined capable of filtering queries using parameterized queries to protect against SQL injection which is a safe method. …”
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14
The implementation of post-processing data thinning for multibeam echo sounding data
Published 2006“…Comparisons on the final results based on these three algorithms will be discussed in order to decide which algorithm is most favorable to be used in post-processing data thinning for cleaned MBES dataset. …”
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15
Predictive modelling of nanofluids thermophysical properties using machine learning
Published 2021“…This thesis aimed to develop machine learning algorithms to estimate the thermophysical properties of commonly used nanofluids. …”
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Influences of geometrical parameters on the heat transfer characteristics through symmetry trapezoidal-corrugated channel using SiO2-water nanofluid
Published 2019“…The numerical results indicate that the h/W of 0.05 with a p/L of 0.075 are the optimum parameters and have shown significant improvement in thermal performance factor. Furthermore, new correlations for Nusselt number and friction factor are developed and reported.…”
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18
Influences of geometrical parameters on the heat transfer characteristics through symmetry trapezoidal-corrugated channel using SiO2-water nanofluid
Published 2019“…The numerical results indicate that the h/W of 0.05 with a p/L of 0.075 are the optimum parameters and have shown significant improvement in thermal performance factor. Furthermore, new correlations for Nusselt number and friction factor are developed and reported.…”
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19
Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique
Published 2017“…Using the number of trees between 2,500-3,500, learning rate of 0.01, and interaction depth of 5 were found to be the best setting for developing the ozone boosting model. The performance of the O3 boosting models were assessed, and the fraction of predictions within two factor (FAC2), coefficient of determination (R²) and the index of agreement (IOA) of the model developed for day andnighttime are 0.93, 0.69 and 0.73 for daytime and 0.79, 0.55 and 0.69 for nighttime respectively. …”
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Power ultrasonic assisted mixing and proofing during bread making process
Published 2014“…Power levels of 1.00, 1.50, 2.05 and 2.50 kW and durations of 10, 20, 30, and 40 minutes (for mixing); 15, 30, 45, 60 minutes (for proofing) were used. A simplified algorithm using Vision Assistant 2009 (National Instruments) imaging software was developed to assist in crumb structure analysis of bread. …”
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