Search Results - (( features detection using algorithm ) OR ( java implementation models algorithm ))
Search alternatives:
- implementation models »
- java implementation »
- features detection »
- models algorithm »
- using algorithm »
-
1
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. …”
Get full text
Get full text
Thesis -
2
A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We extracted 30 different features from network traffic. We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
Get full text
Get full text
Get full text
Thesis -
3
AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING
Published 2021“…RSA is one of these encryption algorithms that have been implemented in security systems. …”
Get full text
Get full text
Thesis -
4
Provider independent cryptographic tools
Published 2003“…The library is implemented by using Java cryptographic service provider framework that conforms to Java Cryptographic Architecture (JCA) and Java Cryptographic Extension (JCE). …”
Get full text
Get full text
Get full text
Monograph -
5
Evaluation of feature selection algorithm for android malware detection
Published 2018“…The Android features were filtered before detection process using TF-IDF algorithm. …”
Get full text
Article -
6
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. …”
Get full text
Get full text
Thesis -
7
Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…The performance of different mechanisms utilized to perform the anomaly detection depends heavily on the group of features used. …”
Get full text
Get full text
Thesis -
8
Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
Published 2019“…The TF-IDF algorithm is used to filter Android features filtered before detection process. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
9
Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…The accuracy of fake news detection models relies mainly on the quality of the extracted features and the method used in detection. …”
Get full text
Get full text
Get full text
Thesis -
10
Detection and extraction features for signatures images via different techniques
Published 2019“…Three techniques have been applied using (UTSig) dataset; the results showed that the BRISK algorithm got the best result among the feature detection algorithm in terms of accuracy and the FAST algorithm got the best result among the feature detection algorithm in terms of run time.…”
Get full text
Get full text
Conference or Workshop Item -
11
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013“…The performance of Java programming model and native programming model are compared with respect to the execution time for blood vessel detection. …”
Get full text
Get full text
Conference or Workshop Item -
12
A Comparative Analysis of Feature Extraction Algorithms for Augmented Reality Applications
Published 2021“…The quantitative results show that the ORB and SURF algorithms detect and match more features than other algorithms. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
13
Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm
Published 2014“…Based on the experimental results, the significant peak features of the peak detection algorithm were obtained where the average test accuracy is 77.74%.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
14
Enhanced feature selections of Adaboost training for face detection using genetic algorithm (GABoost)
Published 2007“…Often some of these features are irrelevant and does not contribute directly to the face detection algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…Three algorithms were used to accomplish the task of feature representation. …”
Get full text
Get full text
Thesis -
16
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…Many optimisation-based intrusion detection algorithms have been developed and are widely used for intrusion identification. …”
Get full text
Get full text
Get full text
Article -
17
Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Some of the previous researchers used a feature set selection which is introduced for IDS but there still shortage in their detection rate and selected amounts of features. …”
Get full text
Get full text
Thesis -
18
A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
Get full text
Get full text
Final Year Project -
19
Enhanced feature selections of Adaboost training for face detection using genetic algorithm
Published 2007“…With these new feature types and larger search space, Genetic Algorithm (GA) is used within the Adaboost framework, to find sets of features which can provide a better cascade of boosted classifiers with a shorter training time. …”
Get full text
Get full text
Get full text
Thesis -
20
Feature-based face recognition system using utilized artificial neural network
Published 2010“…The main contributions of this project are the automatic algorithms for mouth detection, facial features cropping and face classification. …”
Get full text
Thesis