Search Results - (( mode selection method algorithm ) OR ( rate detection based algorithm ))*
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1
Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak
Published 2020“…Few samplings are relatively good in offline test, however only Up Sampling produced the best accuracy in real-time test with recognition rate of 95%. Towards achieving better detection in real-time environment, colour pixel-based images were trained on five pre-trained CNNs using transfer learning algorithm. …”
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2
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Based on SOTA and classification task decision, a sorting algorithm that can acquire, recognize, and eject a shoot has been improved and tested in an offline mode. …”
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3
Delamination in fiberglass pre-impregnated laminated composites from ultrasonic a-scan signal using artificial intelligence
Published 2018“…Existing detection method using static and dynamic load response have limitations that are considered static based monitoring and require the sensor to be attached to the test specimen surface. …”
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4
Detection And Classification Of Impact-Induced Delamination In Fiberglass Pre-Impregnated Laminated Composites From Ultrasonic A-Scan Signal Using Artificial Intelligence
Published 2018“…Existing detection method using static and dynamic load response have limitations that are considered static based monitoring and require the sensor to be attached to the test specimen surface. …”
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5
Vertical Fast Handoff Technique For Mobile IPv6 in Heterogeneous 4G Networks
Published 2009“…As for the first component, a link layer mechanism with the notion of a selection algorithm based on weighted mean is primarily introduced for collecting link layer information and discovering the candidate access router. …”
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6
Machine learning algorithms in context of intrusion detection
Published 2016“…Although, signature based has high detection rate but it cannot detect novel attacks. …”
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Enhancing Model Selection Based On Penalized Regression Methods And Empirical Mode Decomposition
Published 2021“…Those methods are combined with the first part of the Hilbert–Huang transformation, namely, the empirical mode decomposition (EMD) algorithm. …”
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8
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…Experimental results show the proposed technique increases accuracy classification percentage up to 99.95%; and the minimum number of bins determine good discretization algorithm. Consequently, attack detection rate increases and false positive alarm rate minimizes. …”
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9
Artificial immune system based on real valued negative selection algorithms for anomaly detection
Published 2015“…Experimental results illustrate that RNSA and V-Detector algorithms are suitable for the detection of anomalies, with SVM and KNN producing significant efficiency rates and increase in execution time. …”
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10
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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11
Energy detection for spectrum sensing in OFDM-based cooperative and non-cooperative radio networks
Published 2018“…Next, we developed a Constant Global False Alarm Rate (CGFAR) with Constant Global Detection Rate (CGDR) algorithm to mitigate the Cooperative SS (CSS) requirements. …”
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12
An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel
Published 2019“…Using four datasets, analysis parameters of the Ensemble Empirical Mode Decomposition (EEMD) algorithm has been conducted. …”
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An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel
Published 2019“…Using four datasets, analysis parameters of the Ensemble Empirical Mode Decomposition (EEMD) algorithm has been conducted. …”
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14
Experimenting the dendrite cell algorithm for disease outbreak detection model
Published 2014“…To achieve that, an anthrax disease outbreak is chosen as a case study.Two artificial anthrax datasets known as WSARE7 and WSARE58 are taken as experiment data.The experiment is measured based on five metrics; detection rate, specificity, false alarm rate, accuracy, and time taken to produce result. …”
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15
Improving intrusion detection using genetic algorithm
Published 2013“…GAs are search algorithms which are based on the principles of natural selection and genetics. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel
Published 2019“…However, receiving desired and eliminating undesired information is yet a significant problem of these methods. Empirical Mode Decomposition (EMD) algorithm shows promising results in comparison to other signal processing methods especially in terms of accuracy. …”
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18
An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel
Published 2019“…However, receiving desired and eliminating undesired information is yet a significant problem of these methods. Empirical Mode Decomposition (EMD) algorithm shows promising results in comparison to other signal processing methods especially in terms of accuracy. …”
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Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection
Published 2024“…Therefore, three methods based on a combination of the empirical mode decomposition (EMD) algorithm and penalized quantile regression have been proposed in this study. …”
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20
Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
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