Search Results - (( rate detection process algorithm ) OR ( java simulation optimization algorithm ))
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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. …”
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Thesis -
2
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Article -
3
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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4
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
5
Object detection system using haar-classifier
Published 2009“…Object detection system using Haar-classifier algorithm can perform best performance of high detection rate and high level of accuracy rate.…”
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Undergraduates Project Papers -
6
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…Therefore,it is dreadful to determine important and relevant rules for the next process . As a result, the aim of the study is to improve classification performance in terms of accuracy, detection rate and false positive alarm rate decreased for IDS application. …”
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7
Real time algorithm for the portable recording of fetal and maternal heart rates
Published 2023“…The signal processing algorithm processes the abdominal electrocardiogram (AECG) signal which is sensed via a single pair of electrodes and continuously detect both the fetal and maternal QRS complexes for the measurement of the heart rates. …”
Conference paper -
8
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. …”
Review -
9
HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
Published 2019“…The effect of video quality on human detection rate is discussed in Chapter 4. In a human detection, the software is represented by algorithms, in which algorithm also being used in the process of training the dataset. …”
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Final Year Project -
10
Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus
Published 2018“…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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Article -
11
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Thesis -
12
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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13
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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Proceeding Paper -
14
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2018“…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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Article -
15
Improved Switching-Basedmedian Filter For Impulse Noise Removal
Published 2013“…Based on the evaluations from root mean square error (RMSE), false positive detection rate, false negative detection rate, mean structure similarity index (MSSIM), processing time, and visual inspection, it is shown that the proposed method is the best method when compared with seven other state-of-the art median filtering methods.…”
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Thesis -
16
Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
17
Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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Article -
18
An immune-genetic algorithm with tabu local search for network intrusion detection system / Hamizan Suhaimi
Published 2021“…The performance of the proposed method and other existing techniques (Genetic Algorithm, Artificial Immune System and Immune-Genetic Algorithm) were analysed to evaluate and determine its efficiency in terms of maximum intrusion detection rate and the highest true positive rate. …”
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Thesis -
19
Process monitoring and fault detection in nonlinear chemical process based on multi-scale Kernel Fisher discriminant analysis
Published 2015“…A monitoring statistic based on Hoteling’s T2 statistics is used in process monitoring and fault detection. The Tennessee Eastman benchmark process is used to demonstrate the performance of the proposed approach in comparison with conventional statistical monitoring and fault detection methods. …”
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Conference or Workshop Item -
20
Extremal region selection for MSER detection in food recognition
Published 2021“…Therefore, this research proposes an Extremal Region Selection (ERS) algorithm to improve MSER detection by reducing the number of irrelevant extremal regions by using unsupervised learning based on the k-means algorithm. …”
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