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Role of zoning in facial expression using deep learning
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 …
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
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 …
face may have different recognition accuracy, indicating that they have different advantages …
CervixFuzzyFusion for cervical cancer cell image classification
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 …
cervix contain millions of cells with various orientations and overlaps. It is an extensive …
Deep hybrid learning for facial expression binary classifications and predictions
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 …
produce an improved image or extract relevant information. Image processing has multiple …
A framework for facial expression recognition using deep self-attention network
Facial expression recognition (FER) is a widely used technique for emotion recognition. In
recent years, numerous deep convolutional neural network (CNN) models have been …
recent years, numerous deep convolutional neural network (CNN) models have been …
A hybrid multimodal emotion recognition framework for UX evaluation using generalized mixture functions
Multimodal emotion recognition has gained much traction in the field of affective computing,
human–computer interaction (HCI), artificial intelligence (AI), and user experience (UX) …
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 …
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 …
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 …
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 …
interaction (HRI). However, the conventional CNN-based FER methods encounter …