[HTML][HTML] New trends in emotion recognition using image analysis by neural networks, a systematic review

AL Cîrneanu, D Popescu, D Iordache - Sensors, 2023 - mdpi.com
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

Driver's facial expression recognition: A comprehensive survey

I Saadi, TA Abdelmalik, A Hadid, Y El Hillali - Expert Systems with …, 2023 - Elsevier
Driving is an integral part of daily life for millions of people worldwide, and it has a profound
impact on road safety and human health. The emotional state of the driver, including feelings …

[HTML][HTML] Hybrid feature extraction for multi-label emotion classification in English text messages

Z Ahanin, MA Ismail, NSS Singh, A AL-Ashmori - Sustainability, 2023 - mdpi.com
Emotions are vital for identifying an individual's attitude and mental condition. Detecting and
classifying emotions in Natural Language Processing applications can improve Human …

Algorithms used for facial emotion recognition: a systematic review of the literature

JAT Ubillús, JAH Quispe, LAR Escriba… - … on Pervasive Health …, 2023 - publications.eai.eu
INTRODUCTION: We currently live in a society that is constantly changing and technology
has developed algorithms that allow facial emotion recognition, because facial expression …

Automated Facial Emotion Detection using Arithmetic Optimization Algorithm with Deep Convolutional Neural Network for Autonomous Vehicle Drivers

R Saranya, M Vijayaragavan… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Facial Emotion Recognition (FER) utilizing Deep Learning (DL) is indeed employed in the
context of autonomous vehicle drivers. By investigating the facial expressions of drivers, the …

Financial Crisis Prediction using Feature Subset Selection with Quantum Deep Neural Network

T Balachander, N Akhlaq, R Bansal… - … on Electronics and …, 2023 - ieeexplore.ieee.org
In the process, financial decisions are mostly dependent upon the classification system that
is employed for allocating a group of observations into stable groups. A different group of …