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Journal · 2020

Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN

Sudhakar Sengan, L. Arokia Jesu Prabhu, V. Ramachandran, V. Priya, Logesh Ravi, V. Subramaniyaswamy, AROKIA LAZER

Cited by 16 Journal of Intelligent and Fuzzy Systems DOI

Abstract

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Publication details

Venue: Journal of Intelligent and Fuzzy Systems
Type: Journal · 2020
DOI: 10.3233/JIFS-189146
Citations: 16 · via Crossref, 17 September 2026

Cite this publication

Copy a ready-formatted citation in your preferred style.

APA

Sengan, S., Prabhu, L. A. J., Ramachandran, V., Priya, V., Ravi, L., Subramaniyaswamy, V., & LAZER, A. (2020). Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN. Journal of Intelligent and Fuzzy Systems. https://doi.org/10.3233/JIFS-189146

Harvard

Sengan, S., Prabhu, L.A.J., Ramachandran, V., Priya, V., Ravi, L., Subramaniyaswamy, V. and LAZER, A. (2020) 'Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN', Journal of Intelligent and Fuzzy Systems. doi: 10.3233/JIFS-189146.

IEEE

S. Sengan, L. A. J. Prabhu, V. Ramachandran, V. Priya, L. Ravi, V. Subramaniyaswamy, and A. LAZER, "Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN," Journal of Intelligent and Fuzzy Systems, 2020. doi: 10.3233/JIFS-189146.

Vancouver

Sengan S, Prabhu LAJ, Ramachandran V, Priya V, Ravi L, Subramaniyaswamy V, et al. Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN. Journal of Intelligent and Fuzzy Systems. 2020. doi: 10.3233/JIFS-189146.

MLA

Sengan, Sudhakar, et al.. "Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN." Journal of Intelligent and Fuzzy Systems, 2020. https://doi.org/10.3233/JIFS-189146.

Chicago

Sengan, S., Prabhu, L. A. J., Ramachandran, V., Priya, V., Ravi, L., Subramaniyaswamy, V., LAZER, A.. "Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN." Journal of Intelligent and Fuzzy Systems (2020). https://doi.org/10.3233/JIFS-189146.

BibTeX

@article{sengan2020, title={Images super-resolution by optimal deep AlexNet architecture for medical application: A novel DOCALN}, author={Sengan, Sudhakar and Prabhu, L. Arokia Jesu and Ramachandran, V. and Priya, V. and Ravi, Logesh and Subramaniyaswamy, V. and LAZER, AROKIA}, journal={Journal of Intelligent and Fuzzy Systems}, year={2020}, doi={10.3233/JIFS-189146}, }

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