Facial expression recognition: a review

X Guo, Y Zhang, S Lu, Z Lu - Multimedia Tools and Applications, 2024 - Springer
Facial expression recognition has become a hot issue in the field of artificial intelligence. So,
we collect literature on facial expression recognition. First, methods based on machine …

Brain tumor detection and classification using fine-tuned CNN with ResNet50 and U-Net model: A study on TCGA-LGG and TCIA dataset for MRI applications

AA Asiri, A Shaf, T Ali, M Aamir, M Irfan, S Alqahtani… - Life, 2023 - mdpi.com
Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain
cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells …

Natural disasters intensity analysis and classification based on multispectral images using multi-layered deep convolutional neural network

M Aamir, T Ali, M Irfan, A Shaf, MZ Azam, A Glowacz… - Sensors, 2021 - mdpi.com
Natural disasters not only disturb the human ecological system but also destroy the
properties and critical infrastructures of human societies and even lead to permanent …

Facial expression recognition based on improved residual network

W Zhang, X Zhang, Y Tang - IET Image Processing, 2023 - Wiley Online Library
Facial expressions are an important part of human emotional signals and their recognition
has become an important topic of research in the field of pattern recognition. Deep learning …

Expression recognition method using improved VGG16 network model in robot interaction

S Wu - Journal of Robotics, 2021 - Wiley Online Library
Aiming at the problems of poor representation ability and less feature data when traditional
expression recognition methods are applied to intelligent applications, an expression …

Hybrid Attention-Aware Learning Network for Facial Expression Recognition in the Wild

W Gong, Z La, Y Qian, W Zhou - Arabian Journal for Science and …, 2024 - Springer
Facial expression recognition (FER) in the wild is one of the most challenging visual tasks
owing to various uncontrolled factors such as occlusion, pose, and subtle variation in real …

[PDF][PDF] A Novel Hybrid Machine Learning Approach for Classification of Brain Tumor Images.

AA Asiri, A Iqbal, J Ferzund, T Ali, M Aamir… - … , Materials & Continua, 2022 - researchgate.net
Abnormal growth of brain tissues is the real cause of brain tumor. Strategy for the diagnosis
of brain tumor at initial stages is one of the key step for saving the life of a patient. The …

Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation

O Ekundayo, S Viriri - PeerJ Computer Science, 2021 - peerj.com
Abstract Facial Expression Recognition (FER) has gained considerable attention in affective
computing due to its vast area of applications. Diverse approaches and methods have been …

Automated human facial emotion recognition system using depthwise separable convolutional neural network

AM Hashan, KASA Adhab, RMRU Islam… - … on Industry 4.0 …, 2023 - ieeexplore.ieee.org
The automatic human facial emotion recognition (AHFER) system has its wide significant
contribution in several disciplines, such as human-computer collaboration, human-robot …

A novel leaky rectified triangle linear unit based deep convolutional neural network for facial emotion recognition

S Eluri - Multimedia Tools and Applications, 2023 - Springer
Abstract In numerous fields, Facial Expression Recognitions (FER) is employed, which is a
vital topic. The Facial Expressions (FE) is categorized by the FER into human emotions …