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[HTML][HTML] New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …
large amount of data to achieve exceptional performance. Unfortunately, many applications …
A systematic review on multimodal emotion recognition: building blocks, current state, applications, and challenges
Emotion recognition involves accurately interpreting human emotions from various sources
and modalities, including questionnaires, verbal, and physiological signals. With its broad …
and modalities, including questionnaires, verbal, and physiological signals. With its broad …
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
[HTML][HTML] Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in green internet of things (IoT)
Forests are an invaluable natural resource, playing a crucial role in the regulation of both
local and global climate patterns. Additionally, they offer a plethora of benefits such as …
local and global climate patterns. Additionally, they offer a plethora of benefits such as …
[HTML][HTML] Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy
A large amount of personal health data that is highly valuable to the scientific community is
still not accessible or requires a lengthy request process due to privacy concerns and legal …
still not accessible or requires a lengthy request process due to privacy concerns and legal …
Privacy-enhanced pneumonia diagnosis: IoT-enabled federated multi-party computation in industry 5.0
Pneumonia is a significant global health concern that can lead to severe and sometimes
fatal consequences. Timely identification and classification of pneumonia can substantially …
fatal consequences. Timely identification and classification of pneumonia can substantially …
A comprehensive survey on video saliency detection with auditory information: The audio-visual consistency perceptual is the key!
Video saliency detection (VSD) aims at fast locating the most attractive
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …
Personalized adversarial data augmentation for dysarthric and elderly speech recognition
Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech, accurate recognition of dysarthric and elderly speech remains a highly …
normal speech, accurate recognition of dysarthric and elderly speech remains a highly …
Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects
In recent years, emotion recognition has received significant attention, presenting a plethora
of opportunities for application in diverse fields such as human–computer interaction …
of opportunities for application in diverse fields such as human–computer interaction …