This article suggests a unique technique for multi-exposure fusion using convolutional
neural networks (CNNs) for patch-wise illumination estimates. Multi-exposure fusion is a …

In the contemporary era, Facial Expression Recognition (FER) plays a pivotal role in
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …

Facial Expression Recognition (FER) has been an essential field in the Deep Learning area
since the arrival of big data. Human psychological activity is reflected by human facial …

Human emotions are the mental states resulting from neurophysiological changes that are
diversely linked to human thoughts, feelings, and behavioral reactions. Facial expressions …

It is possible to identify emotions based on a person's speech. The field of research focusing
on expressing emotions through voice is continuously evolving. This study utilizes the …

Music is considered as global language. That can connect the people in all over the world.
Music has the great ability to evoke different emotions in people. Music has great impact on …

Investigating human subjects is the goal of predicting human emotions in the real world
scenario. A significant number of psychological effects require (feelings) to be produced …

Since the emergence of large information, recognising facial expressions (FER) has become
an important topic in deep learning. Human psychological functioning is symbolised by the …

Objectives: Analysis of human affect (feelings) that directly release on human emotions is
mandatory to rival many psychological impacts. Human emotions are more precious and …

Facial expression recognition has emerged as a significant area of research in computer
vision and pattern recognition due to its wide range of applications that include emotion …