FACIAL EMOTION RECOGNITION USING CONVENTIONAL MACHINE LEARNING AND DEEP LEARNING METHODS: CURRENT ACHIEVEMENTS, ANALYSIS AND REMAINING CHALLENGES

Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges

Facial emotion recognition (FER) is an emerging and significant research area in the pattern recognition domain.In daily life, the role of non-verbal communication is significant, and in overall communication, its involvement is around 55% to 93%.Facial emotion analysis is efficiently used in surveillance videos, expression analysis, gesture recogn

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Nanoscale Characteristics and Reactivity of Nascent Soot from n-Heptane/2,5-Dimethylfuran Inverse Diffusion Flames with/without Magnetic Fields

In this study, the differences of nanostructure and oxidation reactivity of the nascent soot formed in n-heptane/2,5-dimethylfuran (DMF) inverse diffusion flames (IDF) with/without influence of magnetic fields were studied, and the effects of DMF-doped and magnetic fields were discussed.Morphology and nanostructures of the soot samples were investi

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The concept of body in religious studies

Recently it has become fashionable to speak about embodied religion, religion as bodily processes and embodiment in general.In this article the different uses of the concept of the body are analysed and the different contexts in which the concept can be used in coherent and systematic ways are clarified, and furthermore in such a way that it enhanc

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Correlative fluorescence microscopy, transmission electron microscopy and secondary ion mass spectrometry (CLEM-SIMS) for cellular imaging.

Electron microscopy (EM) has been employed for decades to analyze cell structure.To also analyze the positions and functions of specific proteins, one Rear Plastic Cover typically relies on immuno-EM or on a correlation with fluorescence microscopy, in the form of correlated light and electron microscopy (CLEM).Nevertheless, neither of these proced

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AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities

There is a burgeoning interest in harnessing artificial intelligence (AI) to enhance patient flow within emergency departments (EDs).However, this advancement is accompanied by a significant risk: by relying on historical healthcare Dishwasher data, these AI tools may perpetuate existing systemic biases associated with gender, age, ethnicity, and s

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