Flepnet: feature level ensemble parallel network for facial expression recognition
With the advent of deep learning, the research on facial expression recognition (FER) has
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …
[HTML][HTML] Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information
Due to the rapid spread of the new coronavirus variant during the most recent pandemic, it
became difficult to distinguish common cold symptoms from those of other respiratory …
became difficult to distinguish common cold symptoms from those of other respiratory …
Evolutionary neural architecture search for facial expression recognition
Facial expression is one of the most powerful, natural, and universal signals for human
beings to express emotional states and intentions. There are many applications for facial …
beings to express emotional states and intentions. There are many applications for facial …
Improved deep CNN-based two stream super resolution and hybrid deep model-based facial emotion recognition
Humans have traditionally found it easy to determine emotions from facial expressions, but
doing so by utilizing a computer algorithm is far more challenging. It is now feasible to …
doing so by utilizing a computer algorithm is far more challenging. It is now feasible to …
Efficient-SwishNet based system for facial emotion recognition
Facial emotion recognition (FER) is an important research area in artificial intelligence (AI)
and has many applications ie, face authentication systems, e-learning, entertainment …
and has many applications ie, face authentication systems, e-learning, entertainment …
Recognition of emotions for people with autism: an approach to improve skills
AC Dantas, MZ do Nascimento - International Journal of …, 2022 - Wiley Online Library
Autism spectrum disorder refers to a neurodevelopmental disorders characterized by
repetitive behavior patterns, impaired social interaction, and impaired verbal and nonverbal …
repetitive behavior patterns, impaired social interaction, and impaired verbal and nonverbal …
A novel facial expression recognition algorithm using geometry β–skeleton in fusion based on deep CNN
Facial expression recognition (FER) methods based on single-source facial data often suffer
from reduced accuracy or unpredictability due to facial occlusion or illumination changes. To …
from reduced accuracy or unpredictability due to facial occlusion or illumination changes. To …
Role of zoning in facial expression using deep learning
Facial expression is an unspoken message essential to collaboration and effective
discourse. An inner emotional state of a human is expressed using facial expressions and is …
discourse. An inner emotional state of a human is expressed using facial expressions and is …
A real-time multi view gait-based automatic gender classification system using kinect sensor
Gender classification plays an important role in many applications such as security and
medical applications. Human gender can be classified using different biometric techniques …
medical applications. Human gender can be classified using different biometric techniques …
A framework for facial expression recognition using deep self-attention network
Facial expression recognition (FER) is a widely used technique for emotion recognition. In
recent years, numerous deep convolutional neural network (CNN) models have been …
recent years, numerous deep convolutional neural network (CNN) models have been …