Dataset classification: An efficient feature extraction approach for grammatical facial expression recognition

RS Aleesa, HM Mohammadi, A Monadjemi… - Computers and …, 2023 - Elsevier
In this paper, an efficient features extraction using validated statistical approaches is
proposed, along with a robust Grammatical Facial Expressions (GFEs) classifier in facial …

Facial Expression Recognition from Multi-Perspective Visual Inputs and Soft Voting

AA Aguileta, RF Brena, E Molino-Minero-Re… - Sensors, 2022 - mdpi.com
Automatic identification of human facial expressions has many potential applications in
today's connected world, from mental health monitoring to feedback for onscreen content or …

A survey on linguistic interpretation of facial expressions and technologies

HA Ismail, IA Hashim, BH Abd - 2019 2nd international …, 2019 - ieeexplore.ieee.org
In recent years, many studies have been conducted for analysis of facial expressions. The
importance of facial expressions is particularly evident in sign languages because they help …

Hybridization of fuzzy rough feature selection with ANFIS and turbulent flow of water optimization for managing software defect prediction uncertainty

MA Elsabagh, OE Emam, T Medhat… - Journal of Intelligent & … - content.iospress.com
By anticipating system defect-prone units, software-developing businesses aim to increase
the quality of software. Despite the development of numerous Data Mining (DM) and Artificial …

An Enhanced Approach Based on PCA and ACO Methods for Facial Features Optimization

C Khoudda, EM Smaili, S Azzouzi… - … Conference on Electronic …, 2022 - Springer
An automatic system for facial expression analysis consists generally of three main phases:
detection, feature extraction and classification. In this study, we focus on the extraction of …