Search Results - (( variable activation function algorithm ) OR ( java detection a algorithm ))
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1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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2
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013“…Due to the importance of blood vessel detection in many medical tools and the increasing demand for portable diagnosis equipment, fast blood vessel detection algorithm in a standalone and portable device is very important. …”
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3
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…An application of the native programming for real-time object detection is also presented in this paper. The result shows that with native programming on Android platform, even a complicated object detection algorithm can be done in real-time.…”
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4
Detection and extraction features for signatures images via different techniques
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5
Fitness value based evolution algorithm approach for text steganalysis model
Published 2013“…In this paper, we present a new alternative method for text steganalysis based on an evolution algorithm, implemented using the Java Evolution Algorithms Package (JEAP).The main objective of this paper is to detect the existence of hidden messages ased on fitness values of a text description.It is found that the detection performance has been influenced by two groups of fitness values which are good fitness value and bad fitness value. …”
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6
An approach for cross-site scripting detection and removal based on genetic algorithms.
Published 2014“…In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect and remove cross-site scripting vulnerabilities from the source code before an application is deployed. …”
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7
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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8
Text steganalysis using evolution algorithm approach
Published 2012“…This study presents a new alternative of steganalysis method in order to detect hidden messages in text steganalysis called Evolution Detection Steganalysis System (EDSS) based on the evolution algorithm approach under Java Genetic Algorithms Package (JGAP). …”
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9
Identification of microcalcification in mammographic images / Noor Azliza Abdul Shauti
Published 2008“…Identification microcaicifications images application was developed to improve detection of microcaicifications efficiency in image quality and high detection efficiency in early detection environments. …”
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10
Cross-site scripting detection based on an enhanced genetic algorithm
Published 2015“…In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect cross-site scripting vulnerabilities in the source code before an application is deployed. …”
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11
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…Next, the proposed protocol is implemented in RFID system including IAIK UHF Demo tag, TagSense Nano-UHF reader and back-end database. A GUI is created in a form of JAVA application to display data detected from tag. …”
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12
Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations
Published 2022“…The RBFNN model with softmax as the hidden layer activation function and identity as the outer layer activation function has the least predictive performance, as indicated by an R2 of 0.403 and a RMSE of 301.55. …”
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13
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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14
Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement
Published 2016“…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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15
Image clustering comparison of two color segmentation techniques
Published 2010“…We focus on the outlier detection and background subtraction on image. 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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16
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…Thus, making it hard to detect and successfully bypasses the detection mechanism. …”
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17
A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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18
Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation
Published 2007“…The time variant mixing matrix based on random vector with time variable elements are made. Several simulations obtain optimum results of implemented algorithm. …”
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19
Hybrid genetic algorithm for improving fault localization
Published 2018“…The result of the experiment shows that our technique able to detect multiple faults in various java programs but there is a need for improvement especially in prioritize fault that occurs simultaneously.…”
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20
A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The TCP process involves optimising test cases by rearranging them effectively to achieve a performance goal, such as early fault detection. …”
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