Search Results - adoption a difference ((extraction algorithm) OR (selection algorithm))
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Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…This paper presents a classification of android malware using candidate detectors generated from an unsupervised association rule of Apriori algorithm improved with particle swarm optimization to train three different supervised classifiers. …”
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Proceeding Paper -
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PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm
Published 2024“…This paper introduces a Solar PV Smart Fault Diagnosis and Classification (SFDC) model that harnesses the Random Forest (RF) algorithm in conjunction with Cross-Validation (CV) and an optimized feature extraction (FE) set. …”
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Article -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…However, the learning complexity of classification is increased due to the expansion number of learning model. Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Thesis -
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Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das
Published 2019“…To extract the maximum power from the PV system, the proposed BCM algorithm selects a suitable set of battery cells to charge for a particular time by referring to the forecasted PV output power. …”
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Improved Malware detection model with Apriori Association rule and particle swarm optimization
Published 2019“…These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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Article -
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…This study aimed to explore the performance of different pre-processing methods, namely Fast Fourier Transform, Short-Time Fourier Transform, Discrete Wavelet Transform, and Continuous Wavelet Transform (CWT) that could allow TL models to extract features from the images generated and classify through selected classical ML algorithms . …”
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Thesis -
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The hybrid Wavelet Multiresolution Analysis and Machine learning algorithm (WMRA-ML) is used to extracts the useful hidden knowledge from decomposed one-cycle fault transient signals (voltage & current) from four Matlab/Simulink CIGRE models. …”
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Thesis -
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Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images
Published 2015“…So, a rank based feature selection algorithm is proposed to address these issues. …”
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Thesis -
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A Bayesian probability model for Android malware detection
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Article -
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Development of deep learning based user-friendly interface for fruit quality detection
Published 2024“…The implementation of deep learning algorithms has contributed to various applications related to the detection of fruit quality. …”
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An observation of different clustering algorithms and clustering evaluation criteria for a feature selection based on linear discriminant analysis
Published 2022“…When the Gaussian mixture distribution algorithm is adopted, none of the criteria can consistently select features with the least number. …”
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Book Chapter -
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A New Bit-Plane Extraction Approach for Fingerprint Recognition Using Phase-Only Correlation Function
Published 2016“…The focus of this thesis is on bit-plane extraction of a fingerprint image, which could reduce the file size of a grayscale image. …”
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Thesis -
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A Bayesian probability model for Android malware detection
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Article -
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Thesis -
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing
Published 2022“…Thus, we found that all metaheuristics has a simple structure to be adopted in different areas for becoming a more efficient in optimization. …”
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Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal
Published 2021“…Signal features, such as mean absolute deviation (MAD), standard deviation (SD), kurtosis (K), L-scale (LS), L-kurtosis (LK), bandpower (BP), and sum of synchrosqueezed wavelet coefficient (CSqWCsum) were extracted from the acquired sound. To develop the signal processing algorithm, multi-lag phase space (MLPS) method was adopted in which some modifications on its original algorithm were made by introducing the localized crest factor (CF) thresholding method to reduce the influence of noise. …”
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Thesis -
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Feature extraction from natural language to aid requirements reuse in software product lines engineering / Noor Hasrina Bakar
Published 2016“…Then, linguistic tagging is applied to extract software features followed by applying simple clustering algorithms to form groups of common features. …”
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Thesis -
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Zebra optimization algorithm for feature selection
Published 2026“…Results show that the ZOA successfully achieved a high selection quality. This leads to increasing the classification accuracy on different datasets. …”
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Conference or Workshop Item -
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