首页|National Institute of Technology Hamirpur Researcher Adds New Data to Research in Machine Learning (Optimized Ensemble Machine Learning Approach for Emotion Det ection from Thermal Images)
National Institute of Technology Hamirpur Researcher Adds New Data to Research in Machine Learning (Optimized Ensemble Machine Learning Approach for Emotion Det ection from Thermal Images)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Hamirpur, India, by N ewsRx editors, research stated, “Emotions indicate the feelings of the individua l which are linked with personal experiences, moods, and affective states.” The news editors obtained a quote from the research from National Institute of T echnology Hamirpur: “Detection of emotion can be helpful in many fields like mai ntaining a patient’s psychological well-being, surveillance, driver monitoring, etc. In this paper, an effective machine learning approach has been put forth fo r emotion detection where an ensemble of three out of five best-performing class ifiers has been formed to enhance the classification accuracy. Two deep learning models (AlexNet and ResNet) have been optimally combined with [Formula: see text]-nearest neighbor (KNN). The optimal weight s for ensemble weighted averaging of classifiers have been computed with aid of particle swarm optimization (PSO) and genetic algorithm (GA) optimization. The d eveloped framework has been tested on two publicly available datasets. An overal l accuracy of above 95% has been achieved on the testing set for b oth datasets.”
National Institute of Technology Hamirpu rHamirpurIndiaAsiaCyborgsEmerging TechnologiesMachine Learning
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