A comprehensive survey on recent metaheuristics for feature selection
Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …
preprocessing due to the ever-increasing sizes in actual data. There have been many …
[HTML][HTML] Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
Emotion recognition using deep learning approach from audio–visual emotional big data
MS Hossain, G Muhammad - Information Fusion, 2019 - Elsevier
This paper proposes an emotion recognition system using a deep learning approach from
emotional Big Data. The Big Data comprises of speech and video. In the proposed system, a …
emotional Big Data. The Big Data comprises of speech and video. In the proposed system, a …
[HTML][HTML] A review on speech emotion recognition using deep learning and attention mechanism
E Lieskovská, M Jakubec, R Jarina, M Chmulík - Electronics, 2021 - mdpi.com
Emotions are an integral part of human interactions and are significant factors in determining
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans
Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of …
Estimation of landslide susceptibility is still an ongoing requirement for land use
management plans. Here, we proposed two novel intelligence hybrid models that rely on an …
management plans. Here, we proposed two novel intelligence hybrid models that rely on an …
Emotion-aware connected healthcare big data towards 5G
MS Hossain, G Muhammad - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
The recent development of big data-oriented wireless technologies in terms of emerging 5G,
edge computing, interconnected devices of the Internet of Things (IoT), and data analytics …
edge computing, interconnected devices of the Internet of Things (IoT), and data analytics …
Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition
In this paper, a novel approach, which is based on attention guided 3D convolutional neural
networks (CNN)-long short-term memory (LSTM) model, is proposed for speech based …
networks (CNN)-long short-term memory (LSTM) model, is proposed for speech based …
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
Speech emotion recognition is one of the challenging research issues in the knowledge-
based system and various methods have been recommended to reach high classification …
based system and various methods have been recommended to reach high classification …
Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network
Speech signal processing is an active area of research, the most dominant source of
exchanging information among human beings, and the best way for human–computer …
exchanging information among human beings, and the best way for human–computer …