Search Results - (( processes detection model algorithm ) OR ( java application testing algorithm ))
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1
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
2
RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
3
Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column
Published 2003“…This advantage is useful in systematically detect failures in process plant. Therefore, an algorithm for the development of process fault detection system in dynamic processes using artificial neural network (ANN) is presented. …”
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4
Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
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Final Year Project / Dissertation / Thesis -
5
Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)
Published 2006“…The resulting models are also often complex which poses additional problem for robust on-line process fault detection, diagnosis and control of these processes. …”
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Monograph -
6
Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
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Final Year Project / Dissertation / Thesis -
7
Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments
Published 2018“…In addition, the wipe and dissolve transitions are detected using the change-point detection technique, SVM model, and scale invariant feature transform (SIFT). …”
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8
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Journal -
9
Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin
Published 2011“…There are four major steps in a background subtraction algorithm, which are pre-processing, background modeling, foreground detection, and data validation. …”
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Research Reports -
10
Human face detection using skin color segmentation and watershed algorithm
Published 2017“…Finally, lips area is localized as it may be missing during the detection process. Detection rate of up to 97.22% was obtained using standard database. …”
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Article -
11
An FPGA based embedded vision system for real-time motion detection
Published 2015“…This results in a Gaussian Pyramid down sampling multi model sigma delta algorithm that gives low false detection error and good performance. …”
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Proceeding Paper -
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Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…Attack data was obtained from the ClaMP dataset, which has an unbalanced data set, and has very high noise, so it is necessary to analyze data packets in network logs and optimize feature extraction which is then analyzed statistically with machine learning algorithms. The purpose of the study is to detect, classify malware attacks using a variety of ML Algorithm models such as SVM, KNN and Neural Network and testing detection performance. …”
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13
Fire Detection Algorithm using Image Processing Techniques
Published 2015“…The algorithm uses RGB colour model to detect the colour of the fire which is mainly comprehended by the intensity of the component R which is red colour. …”
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14
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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Thesis -
15
Speech Signal Endpoint Detection Using Hidden Markov Models
Published 2006“…This paper discusses a robust algorithm for the detection of speech and silence segments in an input speech signal based on Hidden Markov Models…”
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16
Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
Published 2019“…Other color model such as HSV and benchmarked algorithm are having slightly low detection rates due to some false face detection. …”
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17
A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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18
Feature selection algorithms for Malaysian dengue outbreak detection model
Published 2017“…The experimental results showed that the predictive accuracy was improved by applying feature selection process before the predictive modeling process. The study also showed the set of features to represent dengue outbreak detection for Malaysian health agencies.…”
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19
New CFAR algorithm and circuit development for radar receiver
Published 2020“…Therefore, the MSS-CA-CFAR is chosen to implement by practical digital circuit and there is another important feature in the MSS-CFAR algorithm that is parallel processing since the spike selection process is done at the same time with summing of samples process that makes this algorithm much less in processing time from any other algorithm using the same environment. …”
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Thesis -
20
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. …”
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