Role of zoning in facial expression using deep learning

T Shahzad, K Iqbal, MA Khan, N Iqbal - IEEE Access, 2023 - ieeexplore.ieee.org
Facial expression is an unspoken message essential to collaboration and effective
discourse. An inner emotional state of a human is expressed using facial expressions and is …

[HTML][HTML] CFNet: Facial expression recognition via constraint fusion under multi-task joint learning network

J **ao, C Gan, Q Zhu, Y Zhu, G Liu - Applied Soft Computing, 2023 - Elsevier
In facial expression recognition (FER), global and local features obtained from the same
face may have different recognition accuracy, indicating that they have different advantages …

CervixFuzzyFusion for cervical cancer cell image classification

K Hemalatha, V Vetriselvi, M Dhandapani - … Signal Processing and …, 2023 - Elsevier
Cervical cancer is a common type of tumor that occurs in the cervix. The cervical cells in the
cervix contain millions of cells with various orientations and overlaps. It is an extensive …

Deep hybrid learning for facial expression binary classifications and predictions

RK Mishra, S Urolagin, JAA Jothi, P Gaur - Image and Vision Computing, 2022 - Elsevier
Image processing is a technique used for applying different operations to an image to
produce an improved image or extract relevant information. Image processing has multiple …

A framework for facial expression recognition using deep self-attention network

S Indolia, S Nigam, R Singh - Journal of Ambient Intelligence and …, 2023 - Springer
Facial expression recognition (FER) is a widely used technique for emotion recognition. In
recent years, numerous deep convolutional neural network (CNN) models have been …

A hybrid multimodal emotion recognition framework for UX evaluation using generalized mixture functions

MA Razzaq, J Hussain, J Bang, CH Hua, FA Satti… - Sensors, 2023 - mdpi.com
Multimodal emotion recognition has gained much traction in the field of affective computing,
human–computer interaction (HCI), artificial intelligence (AI), and user experience (UX) …

Conditional generative adversarial network based data augmentation for fault diagnosis of diesel engines applied with infrared thermography and deep convolutional …

R Wang, X Jia, Z Liu, E Dong, S Li… - Eksploatacja i …, 2024 - yadda.icm.edu.pl
Diesel engine is the core power unit of many production systems, including construction
machinery, agricultural vehicles, electric generators, ships, etc. Its working condition …

[PDF][PDF] Efficient DenseNet model with fusion of channel and spatial attention for facial expression recognition

DT Long - Cybern Inf Technol, 2024 - sciendo.com
Facial Expression Recognition (FER) is a fundamental component of human communication
with numerous potential applications. Convolutional neural networks, particularly those …

[HTML][HTML] Research on improved DenseNets pig cough sound recognition model based on SENets

H Song, B Zhao, J Hu, H Sun, Z Zhou - Electronics, 2022 - mdpi.com
In order to real-time monitor the health status of pigs in the process of breeding and to
achieve the purpose of early warning of swine respiratory diseases, the SE-DenseNet-121 …

Hierarchical co-consistency quantization and information refining binary network for facial expression recognition in human–robot interaction

CS Jiang, ZT Liu, J She - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Facial expression recognition (FER) has become a trending research topic in human–robot
interaction (HRI). However, the conventional CNN-based FER methods encounter …