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Peer Review #1 of 'ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 (v0.1)'

机译：Peer Review“Ecovnet：基于高效的基于Ensemble的Deep Learing Models，用于检测Covid-19（V0.1）”。

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1. ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 [J] . Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, PeerJ Computer Science . 2021,第a期

机译：ECOVNET：基于高效的基于精心学习模型，用于检测Covid-19
2. Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms [J] . Rezaeijo Seyed Masoud, Ghorvei Mohammadreza, Abedi-Firouzjah Razzagh, The Egyptian Journal of Radiology and Nuclear Medicine . 2021,第1期

机译：基于深度转移学习和机器学习算法检测Covid-19胸部图像
3. A Comparison of Deep Learning Models for Detecting COVID-19 in Chest X-ray Images [J] . Enrique Peláez, Ricardo Serrano, Geancarlo Murillo, IFAC PapersOnLine . 2021,第15期

机译：胸部X射线图像中Covid-19检测深度学习模型的比较
4. An Ensemble Deep Learning Technique to Detect COVID-19 Misleading Information [C] . Mohamed K. Elhadad, Kin Fun Li, Fayez Gebali International Conference on Network-Based Information Systems . 2021

机译：一种侦测Covid-19误导信息的集合深度学习技术
5. Peer review of writing: Learning from revision using peer feedback and reviewing peers' texts [D] . Patchan, Melissa M. 2011

机译：同行评审写作：使用同行反馈从修订中学习并审阅同行论文
6. Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning [O] . Xiaoshuo Li, Wenjun Tan, Pan Liu, 2021

机译：基于集合深度学习的Covid-19胸部CT图像分类
7. Peer Review #2 of "ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 (v0.1)" [O] . 2021

机译：同行评论“Ecovnet：基于高效的基于精心学习模型的”Covid-19（V0.1）“中排名第2

Peer Review #1 of 'ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 (v0.1)'

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