| |
Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
2025―Jun―05 |
TMscNet: a model with multiple information interaction for COVID-19 X-ray classification |
Xicheng Wang, Shuai Zhang, Dejian Wei, Junzhong Zhang, ·Hui Cao |
| 2 |
[GO] |
2025―Mai―11 |
Advanced image segmentation and severity prediction for COVID-19 using nnU-Net and optimized FRCNN-GJS algorithm |
R. Vinothini, G. Niranjana |
| 3 |
[GO] |
2024―Dez―31 |
Cluster-based prediction for product sales of E-commerce after COVID-19 pandemic |
Zhaolin Lv, Hongyue Kang, Zhenyu Gao, Xiaotian Zhuang, Jun Tang, Zhongshuai Wang, Xintian Jiang |
| 4 |
[GO] |
2024―Okt―22 |
TiDEFormer-a heterogenous stacking ensemble approach for time series forecasting of COVID-19 prevalence |
Satya Prakash, Anand Singh Jalal, Pooja Pathak |
| 5 |
[GO] |
2024―Aug―17 |
Modeling the dynamics of Covid-19 in Japan: employing data-driven deep learning approach |
S. Patrick Nelson, R. Raja, P. Eswaran, J. Alzabut, G. Rajchakit |
| 6 |
[GO] |
2023―Dez―06 |
BCT-OFD: bridging CNN and transformer via online feature distillation for COVID-19 image recognition |
Hongbin Zhang, Lang Hu, Weinan Liang, Zhijie Li, Meng Yuan, Yiyuan Ye, Zelin Wang, Yafeng Ren, Xiong Li |
| 7 |
[GO] |
2023―Apr―13 |
Optimal interventional policy based on discrete-time fuzzy rules equivalent model utilizing with COVID-19 pandemic data |
C. Treesatayapun |
| 8 |
[GO] |
2022―Okt―19 |
CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images |
Hang Yang, Liyang Wang, Yitian Xu, Xuhua Liu |
| 9 |
[GO] |
2021―Jan―02 |
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification |
Dac-Nhuong Le, Velmurugan Subbiah Parvathy, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues, K. Shankar |
