Smith K. Khare

According to our database, Smith K. Khare authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations.

Smith K. Khare, Victoria Blanes-Vidal, Esmaeil S. Nadimi, U. Rajendra Acharya

Inf. Fusion, February, 2024

A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection.

Smith K. Khare, Victoria Blanes-Vidal, Berit Bargum Booth, Lone Kjeld Petersen, Esmaeil S. Nadimi

WIREs Data. Mining. Knowl. Discov., 2024

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals.

El-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Smith K. Khare, Ru San Tan, U. Rajendra Acharya

Expert Syst. Appl., 2024

An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network.

Siuly Siuly, Smith K. Khare, Md. Enamul Kabir, Muhammad Tariq Sadiq, Hua Wang

Comput. Biol. Medicine, 2024

2023

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

Smith K. Khare, Sonja March, Prabal Datta Barua, Vikram M. Gadre, U. Rajendra Acharya

Inf. Fusion, November, 2023

Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals.

Smith K. Khare, U. Rajendra Acharya

Knowl. Based Syst., October, 2023

Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals.

Smith K. Khare, Varun Bajaj, Nikhil B. Gaikwad, Ganesh Ram Sinha

Sensors, September, 2023

An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals.

Smith K. Khare, U. Rajendra Acharya

Comput. Biol. Medicine, March, 2023

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

Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, Smith K. Khare, Chui Ping Ooi, U. Rajendra Acharya

IEEE Access, 2023

2022

VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection.

Smith K. Khare, Nikhil B. Gaikwad, Varun Bajaj

IEEE Trans. Instrum. Meas., 2022

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

Smith K. Khare, Nikhil B. Gaikwad, Neeraj Dhanraj Bokde

Sensors, 2022

A hybrid decision support system for automatic detection of Schizophrenia using EEG signals.

Smith K. Khare, Varun Bajaj

Comput. Biol. Medicine, 2022

2021

Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition.

Smith K. Khare, Varun Bajaj

IEEE Trans. Neural Networks Learn. Syst., 2021

SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals.

Smith K. Khare, Varun Bajaj, U. Rajendra Acharya

IEEE Trans. Instrum. Meas., 2021

A self-learned decomposition and classification model for schizophrenia diagnosis.

Smith K. Khare, Varun Bajaj

Comput. Methods Programs Biomed., 2021

2020

Adaptive Tunable Q Wavelet Transform-Based Emotion Identification.

Smith K. Khare, Varun Bajaj, Ganesh Ram Sinha

IEEE Trans. Instrum. Meas., 2020

A facile and flexible motor imagery classification using electroencephalogram signals.

Smith K. Khare, Varun Bajaj

Comput. Methods Programs Biomed., 2020

Hybrid Computerized Method for Environmental Sound Classification.

Silvia Liberata Ullo, Smith K. Khare, Varun Bajaj, Ganesh Ram Sinha

IEEE Access, 2020