Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine
When dealing with patients with psychological or emotional symptoms, medical practitioners
are often faced with the problem of objectively recognizing their patients' emotional state. In …
are often faced with the problem of objectively recognizing their patients' emotional state. In …
An efficient hybrid swarm intelligence optimization algorithm for solving nonlinear systems and clustering problems
MA Tawhid, AM Ibrahim - Soft Computing, 2023 - Springer
This article proposes a new hybrid swarm intelligence optimization algorithm called
monarch butterfly optimization (MBO) algorithm with cuckoo search (CS) algorithm, named …
monarch butterfly optimization (MBO) algorithm with cuckoo search (CS) algorithm, named …
Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model
Ball bearings are integral elements in most rotating manufacturing machineries. While
detecting defective bearing is relatively straightforward, discovering the source of defect …
detecting defective bearing is relatively straightforward, discovering the source of defect …
A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities and Future Directions
For organizing and analyzing massive amounts of data and revealing hidden patterns and
structures, clustering is a crucial approach. This paper examines unique strategies for rapid …
structures, clustering is a crucial approach. This paper examines unique strategies for rapid …
Unsupervised feature selection using swarm intelligence and consensus clustering for automatic fault detection and diagnosis in heating ventilation and air …
Various sensory and control signals in a Heating Ventilation and Air Conditioning (HVAC)
system are closely interrelated which give rise to severe redundancies between original …
system are closely interrelated which give rise to severe redundancies between original …
A data-driven meat freshness monitoring and evaluation method using rapid centroid estimation and hidden Markov models
The food industry needs a fast and stable method to monitor and evaluate the freshness of
meat products. This paper proposes the use of a metal-oxide-semiconductor (MOS) sensor …
meat products. This paper proposes the use of a metal-oxide-semiconductor (MOS) sensor …
Recognizing emotions from EEG subbands using wavelet analysis
Objectively recognizing emotions is a particularly important task to ensure that patients with
emotional symptoms are given the appropriate treatments. The aim of this study was to …
emotional symptoms are given the appropriate treatments. The aim of this study was to …
EEG emotion recognition using reduced channel wavelet entropy and average wavelet coefficient features with normal mutual information method
Recognizing emotion from EEG signals is a complicated task that requires complex features
and a substantial number of EEG channels. Simple algorithms to analyse the feature and …
and a substantial number of EEG channels. Simple algorithms to analyse the feature and …
Classification of facial-emotion expression in the application of psychotherapy using Viola-Jones and Edge-Histogram of Oriented Gradient
Psychotherapy requires appropriate recognition of patient's facial-emotion expression to
provide proper treatment in psychotherapy session. To address the needs this paper …
provide proper treatment in psychotherapy session. To address the needs this paper …
Detection of gait initiation Failure in Parkinson's disease based on wavelet transform and Support Vector Machine
Gait initiation Failure (GIF) is the situation in which patients with Parkinson's disease (PD)
feel as if their feet get “stuck” to the floor when initiating their first steps. GIF is a subtype of …
feel as if their feet get “stuck” to the floor when initiating their first steps. GIF is a subtype of …