Three-phases hybrid feature selection for facial expression recognition

O Sidhom, H Ghazouani, W Barhoumi - The Journal of Supercomputing, 2024 - Springer
Abstract Machine learning applications are increasingly challenged by the growing volume
of data. In this context, selecting relevant features from the vast pool of extracted data …

Analytical analysis on the static support reactions of single-column pier bridges using the grey wolf optimizer

L Cao, H Zhou, W Peng, J Liu, YF Chen - Structures, 2023 - Elsevier
To obtain the support reactions of single-column pier girder bridges for studying the bridge
stability against overturning, the bridge deck can be treated as an orthotropic thin plate with …

[PDF][PDF] A New Facial Expression Recognition Algorithm Based on DWT Feature Extraction and Selection

FZ BOUKHOBZA, AH GHARBI, K ROUABAH - medicine, 2024 - iajit.org
In this paper, we propose an efficient framework to improve accuracy and computational cost
of a Facial Expression Recognition (FER) system. This framework is carried out in three …

[PDF][PDF] Grey Wolf Optimization for Facial Emotion Recognition: Survey

HF Marzouk, QO Mosa - Journal of Al-Qadisiyah for computer science and …, 2023 - iasj.net
Human face expression Recognition is one of the most effective forms of social
communication. Generally, facial expressions are a simple and obvious way for people to …

Dynamic Intelligent Analysis of Single-Column Pier Bridges Considering Vehicle-Bridge Interaction

L Cao, H Zhou, J Liu, YF Chen - International Journal of Structural …, 2024 - pure.psu.edu
With its advantages of low engineering cost, minimal space occupancy, and aesthetically
pleasing shape, the single-column pier bridge is frequently utilized in urban viaducts and …