Smith K. Khare

Orcid: 0000-0001-8365-1092

According to our database1, Smith K. Khare authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations.
Inf. Fusion, February, 2024

2023
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade.
Inf. Fusion, November, 2023

Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals.
Knowl. Based Syst., October, 2023

Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals.
Sensors, September, 2023

An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals.
Comput. Biol. Medicine, March, 2023

Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022).
IEEE Access, 2023

2022
VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection.
IEEE Trans. Instrum. Meas., 2022

An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets.
Sensors, 2022

A hybrid decision support system for automatic detection of Schizophrenia using EEG signals.
Comput. Biol. Medicine, 2022

2021
Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2021

SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals.
IEEE Trans. Instrum. Meas., 2021

A self-learned decomposition and classification model for schizophrenia diagnosis.
Comput. Methods Programs Biomed., 2021

2020
Adaptive Tunable Q Wavelet Transform-Based Emotion Identification.
IEEE Trans. Instrum. Meas., 2020

A facile and flexible motor imagery classification using electroencephalogram signals.
Comput. Methods Programs Biomed., 2020

Hybrid Computerized Method for Environmental Sound Classification.
IEEE Access, 2020


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