Search Results - detecting _ different ((evolution algorithm) OR (evolutionary algorithm))
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks.…”
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An efficient anomaly intrusion detection method with evolutionary neural network
Published 2020“…To overcome the aforementioned issues, in this research proposed anomaly based detection is designed with Evolutionary Neural Network (ENN) by three different detection methods. …”
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An Evolutionary Stream Clustering Technique for Outlier Detection
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Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
Published 2014“…In particular, both the FAM models and hybrid genetic algorithms are integrated in the proposed evolutionary artificial neural networks (EANNs) to classify an imbalanced data set. …”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
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Differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…These factors influence the output signal voltage, thus creating detectable noise. Differential Evolution (DE) is an effectual, competent, and robust optimisation method used to solve different problems in the engineering and scientific domains, such as in signal processing. …”
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Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
Published 2019“…Furthermore, the right and left occipital channels may help in identifying happiness, sadness, surprise and neutral emotional states. The DEFS_Ch algorithm raised the linear discriminant analysis (LDA) classification accuracy from 80% to 86.85%, indicating that DEFS_Ch may offer a useful way for reliable enhancement of the detection of different emotional states of the brain regions.…”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…The average percentage of fault detection per cost (APFDc) metric was employed to measure the average cost per severity detection. …”
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SMSAD: a framework for spam message and spam account detection
Published 2019“…Using evolutionary search algorithm, a compact model for spam account detection is proposed, which is incorporated in the machine learning phase of the unified framework. …”
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Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…An improvement to the conventional DE algorithm has been made to change it from its classical form to be possibly applied for ambiguous targets range detection for radar system. …”
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Optimal coordination of overcurrent relay protection using evolutionary programming / Noor Shah Rizal Abdul Manap
Published 2018“…Due to the difficulty of existing techniques employing different types of algorithm, the usual optimal coordination of overcurrent relays is generally carried out by heuristic, meta-heuristic optimization methods. …”
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Performance evaluation of intrusion detection system using selected features and machine learning classifiers
Published 2021“…These evolutionary-based algorithms are known to be effective in solving optimization problems. …”
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Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method
Published 2017“…Human skin detection is an important preprocessing step in many applications involving images such as face detection, gesture tracking, and nudity detection. …”
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Evolution strategy for collaborative beamforming in wireless sensor networks
Published 2013“…Adaptive-IES is proposed for time-varying channels and the results show that the Adaptive-IES has the ability to detect channel changes. Therefore, it can be concluded that the proposed algorithm is robust in practical implementation.…”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…The study proposes a multi-view ensemble algorithm to integrate predicted values of different motion sensors. …”
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