A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis
At the heart of affective computing lies the crucial task of decoding human emotions, a field
that expertly intertwines emotion identification with the nuances of sentiment analysis. This …
that expertly intertwines emotion identification with the nuances of sentiment analysis. This …
A review on speech emotion recognition: a survey, recent advances, challenges, and the influence of noise
SM George, PM Ilyas - Neurocomputing, 2024 - Elsevier
Affective Computing systems can detect the emotional state and mindset of an individual.
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …
Speech emotion recognition using convolution neural networks and multi-head convolutional transformer
Speech emotion recognition (SER) is a challenging task in human–computer interaction
(HCI) systems. One of the key challenges in speech emotion recognition is to extract the …
(HCI) systems. One of the key challenges in speech emotion recognition is to extract the …
Ensemble machine learning of gradient boosting (XGBoost, LightGBM, CatBoost) and attention-based CNN-LSTM for harmful algal blooms forecasting
Harmful algal blooms (HABs) are a serious threat to ecosystems and human health. The
accurate prediction of HABs is crucial for their proactive preparation and management …
accurate prediction of HABs is crucial for their proactive preparation and management …
IoT-enabled WBAN and machine learning for speech emotion recognition in patients
Internet of things (IoT)-enabled wireless body area network (WBAN) is an emerging
technology that combines medical devices, wireless devices, and non-medical devices for …
technology that combines medical devices, wireless devices, and non-medical devices for …
DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images
Accurate segmentation of the region of interest in medical images can provide an essential
pathway for devising effective treatment plans for life-threatening diseases. It is still …
pathway for devising effective treatment plans for life-threatening diseases. It is still …
[HTML][HTML] Multimodal Emotion Recognition using visual, vocal and Physiological Signals: a review
The dynamic expressions of emotion convey both the emotional and functional states of an
individual's interactions. Recognizing the emotional states helps us understand human …
individual's interactions. Recognizing the emotional states helps us understand human …
Multiscale-multichannel feature extraction and classification through one-dimensional convolutional neural network for Speech emotion recognition
M Liu, ANJ Raj, V Rajangam, K Ma, Z Zhuang… - Speech …, 2024 - Elsevier
Speech emotion recognition (SER) is a crucial field of research in artificial intelligence and
human–computer interaction. Extracting effective speech features for emotion recognition is …
human–computer interaction. Extracting effective speech features for emotion recognition is …
[HTML][HTML] BDMediLeaves: A leaf images dataset for Bangladeshi medicinal plants identification
This paper introduces a newly curated dataset named “BDMediLeaves” that includes a
diverse collection of leaf images of ten distinct medicinal plants from various regions in …
diverse collection of leaf images of ten distinct medicinal plants from various regions in …
Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …
who often face multiple chronic conditions. This group requires comprehensive physical …