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Smith K Khare

Showing results (1-10 of 13) with videos related to

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Computer Methods and Programs in Biomedicine|October 7, 2021
A self-learned decomposition and classification model for schizophrenia diagnosisSmith K Khare, Varun Bajaj
Computer Methods and Programs in Biomedicine|August 31, 2020
A facile and flexible motor imagery classification using electroencephalogram signalsSmith K Khare, Varun Bajaj
Computers in Biology and Medicine|November 27, 2021
A hybrid decision support system for automatic detection of Schizophrenia using EEG signalsSmith K Khare, Varun Bajaj
IEEE Transactions on Neural Networks and Learning Systems|August 1, 2020
Time-Frequency Representation and Convolutional Neural Network-Based Emotion RecognitionSmith K Khare, Varun Bajaj
Computers in Biology and Medicine|February 24, 2023
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signalsSmith K Khare, U Rajendra Acharya
Physiological Measurement|February 14, 2023
SchizoNET: a robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signalsSmith K Khare, Varun Bajaj, U Rajendra Acharya
Sensors (Basel, Switzerland)|November 11, 2022
An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive WaveletsSmith K Khare, Nikhil Gaikwad, Neeraj Dhanraj Bokde
Sensors (Basel, Switzerland)|September 28, 2023
Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography SignalsSmith K Khare, Varun Bajaj, Nikhil B Gaikwad, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 8, 2020
A Computerized Method for Automatic Detection of Schizophrenia Using EEG SignalsSiuly Siuly, Smith K Khare, Varun Bajaj, et al.
Computers in Biology and Medicine|April 10, 2024
An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural networkSiuly Siuly, Smith K Khare, Enamul Kabir, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|October 7, 2021
A self-learned decomposition and classification model for schizophrenia diagnosisSmith K Khare, Varun Bajaj
Computer Methods and Programs in Biomedicine|August 31, 2020
A facile and flexible motor imagery classification using electroencephalogram signalsSmith K Khare, Varun Bajaj
Computers in Biology and Medicine|November 27, 2021
A hybrid decision support system for automatic detection of Schizophrenia using EEG signalsSmith K Khare, Varun Bajaj
IEEE Transactions on Neural Networks and Learning Systems|August 1, 2020
Time-Frequency Representation and Convolutional Neural Network-Based Emotion RecognitionSmith K Khare, Varun Bajaj
Computers in Biology and Medicine|February 24, 2023
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signalsSmith K Khare, U Rajendra Acharya
Physiological Measurement|February 14, 2023
SchizoNET: a robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signalsSmith K Khare, Varun Bajaj, U Rajendra Acharya
Sensors (Basel, Switzerland)|November 11, 2022
An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive WaveletsSmith K Khare, Nikhil Gaikwad, Neeraj Dhanraj Bokde
Sensors (Basel, Switzerland)|September 28, 2023
Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography SignalsSmith K Khare, Varun Bajaj, Nikhil B Gaikwad, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 8, 2020
A Computerized Method for Automatic Detection of Schizophrenia Using EEG SignalsSiuly Siuly, Smith K Khare, Varun Bajaj, et al.
Computers in Biology and Medicine|April 10, 2024
An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural networkSiuly Siuly, Smith K Khare, Enamul Kabir, et al.
Pageof 2