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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2023―Jan―17 |
COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled |
Dasari Naga Vinod, S. R. S. Prabaharan |
| 2 |
[GO] |
2022―Mai―23 |
Exploring the Deep-Learning Techniques in Detecting the Presence of Coronavirus in the Chest X-Ray Images: A Comprehensive Review |
K. Silpaja Chandrasekar |
| 3 |
[GO] |
2022―Jan―20 |
A Review on Applications of CFD Modeling in COVID-19 Pandemic |
Fateme Mohamadi, Ali Fazeli |
| 4 |
[GO] |
2021―Okt―19 |
Outbreak COVID-19 in Medical Image Processing Using Deep Learning: A State-of-the-Art Review |
Jaspreet Kaur, Prabhpreet Kaur |
| 5 |
[GO] |
2021―Okt―01 |
System Inference Via Field Inversion for the Spatio-Temporal Progression of Infectious Diseases: Studies of COVID-19 in Michigan and Mexico |
Zhenlin Wang, Mariana Carrasco-Teja, Xiaoxuan Zhang, Gregory H. Teichert, Krishna Garikipati |
| 6 |
[GO] |
2021―Sep―18 |
COVID-19: A Comprehensive Review of Learning Models |
Shivam Chahar, Pradeep Kumar Roy |
| 7 |
[GO] |
2021―Aug―23 |
Effects of B.1.1.7 and B.1.351 on COVID-19 Dynamics: A Campus Reopening Study |
Kevin Linka, Mathias Peirlinck, Amelie Schäfer, Oguz Ziya Tikenogullari, Alain Goriely, Ellen Kuhl |
| 8 |
[GO] |
2021―Aug―11 |
Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review |
Asif Afzal, C. Ahamed Saleel, Suvanjan Bhattacharyya, N. Satish, Olusegun David Samuel, Irfan Anjum Badruddin |
| 9 |
[GO] |
2021―Jul―27 |
Assessing the Spatio-temporal Spread of COVID-19 via Compartmental Models with Diffusion in Italy, USA, and Brazil |
Malú Grave, Alex Viguerie, Gabriel F. Barros, Alessandro Reali, Alvaro L. G. A. Coutinho |
| 10 |
[GO] |
2020―Aug―04 |
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges |
Amir Ahmad, Sunita Garhwal, Santosh Kumar Ray, Gagan Kumar, Sharaf Jameel Malebary, Omar Mohammed Barukab |
