Search Results - (( emotional selection based algorithm ) OR ( wave optimization svm algorithm ))*
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An Algorithm to Define Emotions Based on Facial Gestures as Automated Input in Survey Instrument
Published 2016“…Features of facial gestures that play important role in creating emotions are selected to be formulated in the algorithm.The aim of this paper is to produce an algorithm to define emotions based on three facial features namely mouth, eyes, and eyebrows.This is done by studying users and the problem domain, analyzing the relationship between emotions and facial gestures, and formulating solutions to the problem.This algorithm will be useful in developing a more interactive survey instrument and improving user interaction between researchers and dyslexic children.…”
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Social spider optimisation algorithm for dimension reduction of electroencephalogram signals in human emotion recognition
Published 2018“…Due to some limitations of current heuristics and evolutionary algorithms, this paper proposed a new swarm based algorithm for feature selection method called Social Spider Optimization (SSO-FS). …”
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Adaptive speech synthesis module with emotional expression
Published 2010“…Its quality is less than unit selection, however, due to the introduction of many digital signal processing algorithms such as the PSOLA algorithm, more natural results was achievable.…”
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Proceeding Paper -
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification
Published 2019“…Thus, we propose an adaptive multi-parent crossover Genetic Algorithm (GA) for optimizing the features used in classifying epileptic seizures. …”
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Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
Published 2019“…The differential evolution-based channel selection algorithm (DEFS_Ch) was computed to find the most suitable EEG channels that have the greatest efficacy for identifying the various emotional states of the brain regions. …”
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Conference or Workshop Item -
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Development of Image-Based Emotion Recognition using Convolutional Neural Networks
Published 2021“…First, the extended Cohn-Kanade image emotion database was selected with five defined emotions: happy, sad, anger, fear, surprise, and neutral. …”
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Proceeding Paper -
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Genetic ensemble biased ARTMAP method of ECG-Based emotion classification
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe
Published 2024“…Previous studies have employed machine learning techniques to classify high and low-risk situations based on physiological responses. However, the performance of these algorithms in situations with closely comparable risk magnitudes remains uncertain. …”
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks
Published 2025“…A Python script was used to assist in selecting relevant articles based on selected keywords. …”
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Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms
Published 2023“…After analyzing the results of all algorithms, it was determined that the IBk and Randomizable Filtered Classifier algorithms give the best accuracy on social well-being readiness, with a comparable percentage value of 91.26%. …”
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Accelerating color theory-based design through artificial intelligence: a conceptual welcome
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Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach
Published 2025“…The descriptive analysis examines purchasing behavior through correlation and regression analyses, while the predictive model uses decision trees (J48, Random Tree, REPTree), rule-based algorithms (JRip, OneR, PART), and clustering (K-Means) to identify patterns and predict trends. …”
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Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis
Published 2016“…The geometric ratios are based on combination of facial features distances and angles distribution between selected face features using minimum extracted facial features landmark points. …”
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Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies
Published 2020“…The risk in this situation is that there would be a moral hazard and adverse selection based on information asymmetry among principal construction participants especially contractors; this outcome is called risk attitudes. …”
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