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COVID answers in Scientific Journals all over the world

PeerJ: PeerJ Computer Science
  original article Date Title Authors   All Authors
1 [GO] 2022―Jan―04 Data privacy during pandemics: a systematic literature review of COVID-19 smartphone applications Amany Alshawi, Muna Al-Razgan, Fatima H. AlKallas, Raghad Abdullah Bin Suhaim, Reem Al-Tamimi, Norah Alharbi, Sarah Omar AlSaif
2 [GO] 2021―Dec―16 Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak Muhammad Naeem, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan
3 [GO] 2021―Nov―12 Prediction of COVID-19 epidemic situation via fine-tuned IndRNN Zhonghua Hong, Ziyang Fan, Xiaohua Tong, Ruyan Zhou, Haiyan Pan, Yun Zhang, et al. (+5)
4 [GO] 2021―Nov―10 How Internet of Things responds to the COVID-19 pandemic Taher A. Ghaleb, Rasha A. Bin-Thalab, Ghadir AbdulhakimAbdo Abdullah Alselwi
5 [GO] 2021―Sep―20 KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Mohammed Alghaili, Asaad Shakir Hameed, Modhi Lafta Mutar
6 [GO] 2021―Sep―17 Decoders configurations based on Unet family and feature pyramid network for COVID-19 segmentation on CT images Hai Thanh Nguyen, Toan Bao Tran, Huong Hoang Luong, Tuan Khoi Nguyen Huynh
7 [GO] 2021―Sep―17 A machine-learning scraping tool for data fusion in the analysis of sentiments about pandemics for supporting business decisions with human-centric AI explanations Swarn Avinash Kumar, Moustafa M. Nasralla, Iván García-Magariño, Harsh Kumar
8 [GO] 2021―Aug―20 A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media Heng-yang Lu, Chenyou Fan, Xiaoning Song, Wei Fang
9 [GO] 2021―Aug―12 Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets Marcio Dorn, Bruno Iochins Grisci, Pedro Henrique Narloch, Bruno César Feltes, Eduardo Avila, Alessandro Kahmann, Clarice Sampaio Alho
10 [GO] 2021―Aug―03 Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset Michael Adebisi Fayemiwo, Toluwase Ayobami Olowookere, Samson Afolabi Arekete, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike Oguntunde, et al. (+5)
11 [GO] 2021―Jul―29 COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans Hammam Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz
12 [GO] 2021―Jun―22 Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation Talal S. Qaid, Hussein Mazaar, Mohammed S. Alqahtani, Abeer A. Raweh, Wafaa Alakwaa
13 [GO] 2021―Jun―15 Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction Razi J. Al-Azawi, Nadia M.G. Al-Saidi, Hamid A. Jalab, Hasan Kahtan, Rabha W. Ibrahim
14 [GO] 2021―May―27 An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images Waleed M. Bahgat, Hossam Magdy Balaha, Yousry AbdulAzeem, Mahmoud M. Badawy
15 [GO] 2021―May―26 Overview of current state of research on the application of artificial intelligence techniques for COVID-19 Vijay Kumar, Dilbag Singh, Manjit Kaur, Robertas Damaševičius
16 [GO] 2021―May―26 ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Noortaz Rezoana
17 [GO] 2021―Apr―01 A deep learning algorithm to detect coronavirus (COVID-19) disease using CT images Mojtaba Mohammadpoor, Mehran Sheikhi karizaki, Mina Sheikhi karizaki
18 [GO] 2021―Feb―22 Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images Tharun J. Iyer, Alex Noel Joseph Raj, Sushil Ghildiyal, Ruban Nersisson
19 [GO] 2021―Feb―18 COVID-19: a new deep learning computer-aided model for classification Omar M. Elzeki, Mahmoud Shams, Shahenda Sarhan, Mohamed Abd Elfattah, Aboul Ella Hassanien
20 [GO] 2021―Feb―10 A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset Omar M. Elzeki, Mohamed Abd Elfattah, Hanaa Salem, Aboul Ella Hassanien, Mahmoud Shams
21 [GO] 2021―Jan―26 ADID-UNET-a segmentation model for COVID-19 infection from lung CT scans Alex Noel Joseph Raj, Haipeng Zhu, Asiya Khan, Zhemin Zhuang, Zengbiao Yang, Vijayalakshmi G. V. Mahesh, Ganesan Karthik
22 [GO] 2021―Jan―04 Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model Felix Velicia-Martin, Juan-Pedro Cabrera-Sanchez, Eloy Gil-Cordero, Pedro R. Palos-Sanchez
23 [GO] 2020―Nov―23 Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks Haruna Chiroma, Absalom E. Ezugwu, Fatsuma Jauro, Mohammed A. Al-Garadi, Idris N. Abdullahi, Liyana Shuib
24 [GO] 2020―Oct―19 A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans Shimaa El-bana, Ahmad Al-Kabbany, Maha Sharkas
25 [GO] 2020―Oct―12 FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features Dina A. Ragab, Omneya Attallah
26 [GO] 2020―Sep―10 Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data Kamal A. ElDahshan, AbdAllah A. AlHabshy, Gaber E. Abutaleb


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