| |
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2023―Dez―23 |
Edge intelligence-based public health influenza pandemic risk prediction |
Xianhua Wang, Baocheng Pan, Can Cai |
| 2 |
[GO] |
2021―Nov―05 |
Accelerating drug repurposing for COVID-19 treatment by modeling mechanisms of action using cell image features and machine learning |
Lu Han, Guangcun Shan, Bingfeng Chu, Hongyu Wang, Zhongjian Wang, Shengqiao Gao, Wenxia Zhou |
| 3 |
[GO] |
2021―Sep―10 |
Automated COVID-19 diagnosis and classification using convolutional neural network with fusion based feature extraction model |
K. Shankar, Sachi Nandan Mohanty, Kusum Yadav, T. Gopalakrishnan, Ahmed M. Elmisery |
| 4 |
[GO] |
2021―Jul―29 |
Identifying COVID-19 by using spectral analysis of cough recordings: a distinctive classification study |
Negin Melek Manshouri |
| 5 |
[GO] |
2021―Jul―26 |
Long-term predictions of current confirmed and dead cases of COVID-19 in China by the non-autonomous delayed epidemic models |
Lijun Pei, Mengyu Zhang |
| 6 |
[GO] |
2020―Dez―18 |
Correction to: Prediction of numbers of the accumulative confirmed patients (NACP) and the plateau phase of 2019-nCoV in China |
Lijun Pei |
| 7 |
[GO] |
2020―Apr―27 |
Prediction of numbers of the accumulative confirmed patients (NACP) and the plateau phase of 2019-nCoV in China |
Lijun Pei |
