Search Results - adoption from different ((extraction algorithm) OR (optimization algorithm))
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Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
Published 2008“…Due to the frequently use of rounding approach, embedded data or watermark hidden in an image is retrieved differently from the original watermark (Shih et al, 2004). …”
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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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Instant Sign Language Recognition by WAR Strategy Algorithm Based Tuned Machine Learning
Published 2025“…Afterward, the WAR Strategy optimization algorithm has been adopted in two procedures, first in optimizing the extracted set of features, and second to fine-tune the hyperparameters of six standard machine learning models in order to achieve precise and efficient sign language recognition. …”
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Personalized human emotion classification using genetic algorithm
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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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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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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. Two parameters (population size and generation numbers) are adaptively adopted from number of remaining ranking features. …”
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Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic
Published 2021“…These parameters are extracted using the spiral dynamic algorithm while being controlled with interval type-2 fuzzy logic controller (IT2FLC). …”
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Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…Meta-heuristic algorithms are well-known optimization methods, for solving real-world optimization problems. …”
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Enhancing clustering algorithm with initial centroids in tool wear region recognition
Published 2020“…Force components of cutting force Fc, thrust force Ft and perpendicular cutting force Fcn were extracted from Neo-MoMac cutting force measurement device. …”
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Hybrid harmony search algorithm for continuous optimization problems
Published 2020“…Harmony Search (HS) algorithm has been extensively adopted in the literature to address optimization problems in many different fields, such as industrial design, civil engineering, electrical and mechanical engineering problems. …”
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The mechanisms and strategies used in evolutionary algorithms to address different types of combinatorial optimization problems are discovered. …”
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Genetic algorithm based mass distribution optimization of quadruped leg robot for walking performance enhancement
Published 2013“…In the conditions of fixed walking cycle, preset walking pattern and limited torque generation in actuators, genetic algorithm is adopted to optimize the walking distance of the robot by varying the masses of torso, upper limb and lower limb, ranging from 0.01kg to 5kg. …”
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Zebra optimization algorithm for feature selection
Published 2026“…This algorithm is adopted by inspiring the social behavior and movements strategies of zebras in wildlife. …”
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Conference or Workshop Item -
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Finite impulse response optimizers for solving optimization problems
Published 2019“…SAFIRO differs from MAFIRO in term of the number of agents. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…SAFIRO differs from MAFIRO in term of the number of agents. …”
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