Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions-Reference-Cited by-同舟云学术

Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions

Published:2021 Issue: Volume: Page:9-31
ISSN:2198-4182
Container-title:Studies in Systems, Decision and Control
language:
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Author:

Jamshidi Mohammad Behdad,Lalbakhsh Ali,Talla Jakub,Peroutka Zdeněk,Roshani Sobhan,Matousek Vaclav,Roshani Saeed,Mirmozafari Mirhamed,Malek Zahra,La Spada Luigi,Sabet Asal,Dehghani Mojgan,Jamshidi Morteza,Honari Mohammad Mahdi,Hadjilooei Farimah,Jamshidi Alireza,Lalbakhsh Pedram,Hashemi-Dezaki Hamed,Ahmadi Sahar,Lotfi Saeedeh

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67716-9_2

Reference81 articles.

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3. Jamshidi, M.B., et al.: Artificial Intelligence and COVID-19: deep learning approaches for diagnosis and treatment. IEEE Acc. 8, 109581–109595 (2020)

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5. Arpaci, I., Al-Emran, M., Al-Sharafi, M.A., Shaalan, K.: A novel approach for predicting the adoption of smartwatches using machine learning algorithms. In: Recent Advances in Intelligent Systems and Smart Applications, pp. 185–195. Springer (2020)

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