Sebamai Parija

According to our database, Sebamai Parija authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Epileptic EEG signal classification using an improved VMD-based convolutional stacked autoencoder.

Sebamai Parija, Pradipta Kishore Dash, Ranjeeta Bisoi

Pattern Anal. Appl., March, 2024

2023

Autoencoder-based improved deep learning approach for schizophrenic EEG signal classification.

Sebamai Parija, Mrutyunjaya Sahani, Ranjeeta Bisoi, P. K. Dash

Pattern Anal. Appl., May, 2023

2021

A systematic review on detection and estimation algorithms of EEG signal for epilepsy.

Shazia Hasan, Ameya K. Kulkarni, Sebamai Parija, Pradipta Kishore Dash

Int. J. Medical Eng. Informatics, 2021

Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification.

Sebamai Parija, Ranjeeta Bisoi, P. K. Dash, Mrutyunjaya Sahani

Eng. Appl. Artif. Intell., 2021

2020

Multi-kernel-based random vector functional link network with decomposed features for epileptic EEG signal classification.

Sebamai Parija, Pradipta Kishore Dash, Ranjeeta Bisoi

IET Signal Process., 2020