A deep learning approach for detecting the behaviour of people having personality disorders towards COVID-19 from Twitter
This paper proposes an architecture taking advantage of artificial intelligence and text mining techniques in order to: 1) detect paranoid people by classifying their set of tweets into two classes (paranoid/not-paranoid); 2) ensure the surveillance of ...
A content-based image retrieval scheme with object detection and quantised colour histogram
Content-based image retrieval (CBIR) is an active area of research due to its wide applications. Most of the existing CBIR schemes are concentrated to do the searching of the images based on the texture, colour, or shape features extracted from the query ...
Prediction of heart disease using hybrid optimisation techniques in data clustering
The disease diagnosis in the medical field enhances better medical service to patients and also leads to a decrease in their mortality rate. The prediction of the survival rate of the patients purely depends on the accurate diagnosis of the diseases, but ...
Offline Arabic handwritten character recognition: from conventional machine learning system to deep learning approaches
Researchers have made great strides in the area of Arabic handwritten character recognition in the last decades especially with the fast development of deep learning algorithms. The characteristics of Arabic manuscript text pose several problems for a ...
Understanding the nonlinear dynamics of seizure and sleep EEG patterns generated using hierarchical chaotic neuronal network
The purpose of this article is to describe how a chaotic biological neural network based on a mammalian olfactory system can be used to generate EEG patterns during seizures, REM and NREM sleep. The parameters governing the connection between each node at ...
Analysis of the dynamics of the olfactory evoked EEG responses generated by the brain and e-nose under natural and synthetic odorant stimulations
Aroma and taste have a disproportionately strong effect on the human brain in comparison to the other senses, however this effect is mostly unappreciated. The capacity for olfaction to perceive, identify, and distinguish a vast number of chemicals present ...
Coordinated control of PI type PSS and MISO PI type SSSC-based damping controller design using improved grasshopper optimisation algorithm
This article presents the coordinated control of PI type PSS and MISO newly proposed damping controller using SSSC-based PI type lead lag controller for transient stability analysis. The improved grasshopper optimisation algorithm (GOA) is employed in the ...
A Bayesian network correlation-based classifier chain algorithm for multilabel learning
This article introduces a new multilabel learning method, the Bayesian network correlation-based CC (BNCC) algorithm, to decrease the uncertainty in the label order from the classifier chain (CC) algorithm. It uses a neural network constructed in ...
A hybrid of local and global atmospheric scattering model for depth prediction via cross Bayesian model
Monocular depth estimation is a fascinating and challenging problem in virtual vision. However, the training of networks based on deep learning largely depends on the training data. This paper proposes a depth prediction method based on the depth cue: ...
Research on online emotion of COVID-19 based on text sentiment analysis
The growth of internet users and the convenience of internet communication provide a foundation for the formation of internet emotions. As the internet and real-life interactions become closer, the influence of internet emotions on society is increasing. ...