American Psychological Association 6th edition

Nagabushanam, P., Thomas George, S., & Radha, S. (2020). EEG signal classification using LSTM and improved neural network algorithms. Soft Computing - A Fusion of Foundations, Methodologies & Applications, 24(13), 9981-10003. https://doi.org/10.1007/s00500-019-04515-0

ISO-690 (author-date, English)

NAGABUSHANAM, P., THOMAS GEORGE, S. und RADHA, S., 2020. EEG signal classification using LSTM and improved neural network algorithms. Soft Computing - A Fusion of Foundations, Methodologies & Applications. 1 Juli 2020. Vol. 24, no. 13, p. 9981-10003. DOI 10.1007/s00500-019-04515-0.

Modern Language Association 9th edition

Nagabushanam, P., S. Thomas George, und S. Radha. „EEG Signal Classification Using LSTM and Improved Neural Network Algorithms.“. Soft Computing - A Fusion of Foundations, Methodologies & Applications, Bd. 24, Nr. 13, Juli 2020, S. 9981-10003, https://doi.org/10.1007/s00500-019-04515-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Nagabushanam, P./Thomas George, S./Radha, S.: EEG signal classification using LSTM and improved neural network algorithms., Soft Computing - A Fusion of Foundations, Methodologies & Applications 2020, 9981-10003.

Emerald - Harvard

Nagabushanam, P., Thomas George, S. und Radha, S. (2020), „EEG signal classification using LSTM and improved neural network algorithms.“, Soft Computing - A Fusion of Foundations, Methodologies & Applications, Vol. 24 No. 13, S. 9981-10003.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.