Recent advances in Grey Wolf Optimizer, its versions and applications
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
A review of AI cloud and edge sensors, methods, and applications for the recognition of emotional, affective and physiological states
Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …
capturing human signals is a fast-growing area, which has been applied across numerous …
A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets
NS Suhaimi, J Mountstephens, J Teo - Big Data and Cognitive Computing, 2022 - mdpi.com
Emotions are viewed as an important aspect of human interactions and conversations, and
allow effective and logical decision making. Emotion recognition uses low-cost wearable …
allow effective and logical decision making. Emotion recognition uses low-cost wearable …
Recognizing sounds of Red Palm Weevils (RPW) based on the VGGish model: Transfer learning methodology
The red palm weevil (RPW) is one of the most popular and damaging pests which threaten
palm cultivation and production in many countries in the world. Recognizing RPW pests is …
palm cultivation and production in many countries in the world. Recognizing RPW pests is …
Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC)
Y Zhao, X Shu - Scientific Reports, 2023 - nature.com
Speech emotion analysis is one of the most basic requirements for the evolution of Artificial
Intelligence (AI) in the field of human–machine interaction. Accurate emotion recognition in …
Intelligence (AI) in the field of human–machine interaction. Accurate emotion recognition in …
Emotion quantification techniques for cognitive reappraisal: a systematic review and scientometric analysis
Cognitive reappraisal intends to study the significance of an event concerning any emotional
reaction. Understanding the efficacy of cognitive reappraisal in emotion regulation requires …
reaction. Understanding the efficacy of cognitive reappraisal in emotion regulation requires …
Recognition of emotion with intensity from speech signal using 3D transformed feature and deep learning
Abstract Speech Emotion Recognition (SER), the extraction of emotional features with the
appropriate classification from speech signals, has recently received attention for its …
appropriate classification from speech signals, has recently received attention for its …
Design of smart home system speech emotion recognition model based on ensemble deep learning and feature fusion
M Wang, H Ma, Y Wang, X Sun - Applied Acoustics, 2024 - Elsevier
In the realm of consumer technology, Artificial Intelligence (AI)-based Speech Emotion
Recognition (SER) has rapidly gained traction and integration into smart home systems. Its …
Recognition (SER) has rapidly gained traction and integration into smart home systems. Its …
Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method
X Zhang, H Xiao - Biomedical Signal Processing and Control, 2024 - Elsevier
Emotions have a vital role in human communication in today's time, they help individuals
express their thoughts and understand the emotions of others better. Speech Emotion …
express their thoughts and understand the emotions of others better. Speech Emotion …
[PDF][PDF] Nelder–Mead Simplex Search Method-A Study
Nelder-Mead in n dimensions facilitates the set of n+ 1 test points. It finds a new test point,
Makes one of the old test points new, and so the technique progresses into objective …
Makes one of the old test points new, and so the technique progresses into objective …