Emotion recognition from unimodal to multimodal analysis: A review
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …
alternatives for emotion recognition in several domains including e-health, e-learning …
Facial expression recognition with convolutional neural networks
Emotions are a powerful tool in communication and one way that humans show their
emotions is through their facial expressions. One of the challenging and powerful tasks in …
emotions is through their facial expressions. One of the challenging and powerful tasks in …
Facial micro emotion detection and classification using swarm intelligence based modified convolutional network
AN Arun, P Maheswaravenkatesh… - Expert Systems with …, 2023 - Elsevier
Emotions are what makes us humans. Recognizing human emotions from facial micro
expression features help us learn the true emotional state of a person. This technique of …
expression features help us learn the true emotional state of a person. This technique of …
[HTML][HTML] Bifurcation, chaotic analysis and soliton solutions to the (3+ 1)-dimensional p-type model
This study examines the modified Sardar sub-equation method (MSSEM) for deriving the
novel solutions of the (3+ 1)-dimensional p-type model. This framework is commonly …
novel solutions of the (3+ 1)-dimensional p-type model. This framework is commonly …
Quaternion-based 2D-DOST and stacked principal component analysis network for multimodal face recognition
Z Shao, L Li, B Li, Y Shang, G Coatrieux, H Shu… - Applied Soft …, 2024 - Elsevier
Face recognition is widely utilized and has become a ubiquitous part of daily lives. However,
original face images are often sensitive and unauthorized access could imperil personal …
original face images are often sensitive and unauthorized access could imperil personal …
Automated Facial Emotion Recognition Using the Pelican Optimization Algorithm with a Deep Convolutional Neural Network
Facial emotion recognition (FER) stands as a pivotal artificial intelligence (AI)-driven
technology that exploits the capabilities of computer-vision techniques for decoding and …
technology that exploits the capabilities of computer-vision techniques for decoding and …
FER-CHC: Facial expression recognition with cross-hierarchy contrast
Facial expression recognition (FER) tasks with convolutional neural networks (CNNs) have
seen remarkable progress. However, these CNN-based approaches do not well capture …
seen remarkable progress. However, these CNN-based approaches do not well capture …
Facial expression recognition with contrastive learning and uncertainty-guided relabeling
Y Yang, L Hu, C Zu, Q Zhou, X Wu, J Zhou… - International Journal of …, 2023 - World Scientific
Facial expression recognition (FER) plays a vital role in the field of human-computer
interaction. To achieve automatic FER, various approaches based on deep learning (DL) …
interaction. To achieve automatic FER, various approaches based on deep learning (DL) …
Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review
M Mohana, P Subashini - SN Computer Science, 2024 - Springer
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 …
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …
Quantum Fuzzy Decision-Making for Analyzing the Service Progress Life Cycle of Renewable Energy Innovation Investments
Innovative and effective solutions can be produced by using advanced technologies to
increase renewable energy innovation investments. However, many actions taken to …
increase renewable energy innovation investments. However, many actions taken to …