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original article |
Date |
Title |
Authors All Authors |
1 |
[GO] |
2024―Dec―24 |
Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review |
Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, et al. (+6) Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim |
2 |
[GO] |
2024―Oct―18 |
Pre-trained quantum convolutional neural network for COVID-19 disease classification using computed tomography images |
Nazeh Asadoorian, Shokufeh Yaraghi, Araeek Tahmasian |
3 |
[GO] |
2024―Sep―19 |
A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach |
Amirreza Salehi Amiri, Ardavan Babaei, Vladimir Simic, Erfan Babaee Tirkolaee |
4 |
[GO] |
2024―Aug―08 |
Using machine learning to analyze mental health in distance education during the COVID-19 pandemic: an opinion study from university students in Mexico |
Roberto Angel Melendez-Armenta, Giovanni Luna Chontal, Sandra Guadalupe Garcia Aburto |
5 |
[GO] |
2024―Jul―23 |
Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs |
Kiri S. Newson, David M. Benoit, Andrew W. Beavis |
6 |
[GO] |
2024―Apr―30 |
A methodological showcase: utilizing minimal clinical parameters for early-stage mortality risk assessment in COVID-19-positive patients |
Jonathan K. Yan |
7 |
[GO] |
2024―Apr―25 |
Physicochemical properties-based hybrid machine learning technique for the prediction of SARS-CoV-2 T-cell epitopes as vaccine targets |
Syed Nisar Hussain Bukhari, E. Elshiekh, Mohamed Abbas |
8 |
[GO] |
2023―Dec―06 |
Computational linguistics based text emotion analysis using enhanced beetle antenna search with deep learning during COVID-19 pandemic |
Youseef Alotaibi, Arun Mozhi Selvi Sundarapandi, Subhashini P, Surendran Rajendran |
9 |
[GO] |
2023―Nov―20 |
Modeling emotional contagion in the COVID-19 pandemic: a complex network approach |
Yanchun Zhu, Wei Zhang, Chenguang Li |
10 |
[GO] |
2023―Nov―17 |
Student learning performance prediction based on online behavior: an empirical study during the COVID-19 pandemic |
Yiyi Liu, Zijie Huang, Gong Wang |
11 |
[GO] |
2023―Oct―26 |
ASAVACT: Arabic sentiment analysis for vaccine-related COVID-19 tweets using deep learning |
Sarah Alhumoud, Asma Al Wazrah, Laila Alhussain, Lama Alrushud, Atheer Aldosari, Reema Nasser Altammami, et al. (+3) Njood Almukirsh, Hind Alharbi, Wejdan Alshahrani |
12 |
[GO] |
2023―Oct―19 |
IoMT based smart healthcare system to control outbreaks of the COVID-19 pandemic |
Nouf Abdullah Almujally, Turki Aljrees, Muhammad Umer, Oumaima Saidani, Danial Hanif, Nihal Abuzinadah, et al. (+2) Khaled Alnowaiser, Imran Ashraf |
13 |
[GO] |
2023―Aug―28 |
Forecasting stock indices with the COVID-19 infection rate as an exogenous variable |
Mohammad Saha A. Patwary, Kumer Pial Das |
14 |
[GO] |
2023―Jun―14 |
A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients |
Tansel Dokeroglu |
15 |
[GO] |
2023―Jun―06 |
A novel framework based on deep learning for COVID-19 diagnosis from X-ray images |
SeyyedMohammad JavadiMoghaddam |
16 |
[GO] |
2023―Apr―10 |
Graph data science and machine learning for the detection of COVID-19 infection from symptoms |
Eman Alqaissi, Fahd Alotaibi, Muhammad Sher Ramzan |
17 |
[GO] |
2023―Mar―31 |
Comprehensive sentimental analysis of tweets towards COVID-19 in Pakistan: a study on governmental preventive measures |
Muhammad Faisal Ali, Rabia Irfan, Tahira Anwar Lashari |
18 |
[GO] |
2023―Mar―31 |
Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques |
Umer Zukaib, Mohammed Maray, Saad Mustafa, Nuhman Ul Haq, Atta ur Rehman Khan, Faisal Rehman |
19 |
[GO] |
2023―Mar―13 |
COVID-19 advising application development for Apple devices (iOS) |
Saeed M. Alshahrani, Nayyar Ahmed Khan |
20 |
[GO] |
2023―Mar―10 |
Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques |
Shoaib Ahmed, Dost Muhammad Khan, Saima Sadiq, Muhammad Umer, Faisal Shahzad, Khalid Mahmood, et al. (+2) Hebah Mohsen, Imran Ashraf |
21 |
[GO] |
2023―Feb―24 |
COVID-19 mortality prediction using ensemble learning and grey wolf optimization |
Lihua Lou, Weidong Xia, Zhen Sun, Shichao Quan, Shaobo Yin, Zhihong Gao, Cai Lin |
22 |
[GO] |
2023―Feb―16 |
COVID-19 spread algorithm in the international airport network-DetArpds |
Cesar Guevara, Dennys Coronel, Byron Eduardo Salazar Maldonado, Jorge Eduardo Salazar Flores |
23 |
[GO] |
2022―Dec―05 |
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations |
Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, Yara Alharahsheh |
24 |
[GO] |
2022―Nov―15 |
Effect of visual imagery in COVID-19 social media posts on users’ perception |
Waleed M. Al-nuwaiser |
25 |
[GO] |
2022―Oct―07 |
Resilience of political leaders and healthcare organizations during COVID-19 |
Manmeet Kaur Baxi, Joshua Philip, Vijay Mago |
26 |
[GO] |
2022―Sep―29 |
Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata |
Houcemeddine Turki, Dariusz Jemielniak, Mohamed A. Hadj Taieb, Jose E. Labra Gayo, Mohamed Ben Aouicha, Mus’ab Banat, et al. (+5) Thomas Shafee, Eric Prud’hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen |
27 |
[GO] |
2022―Sep―28 |
COVID-19 mass media coverage in English and public reactions: a West-East comparison via Facebook posts |
Ahmad R. Pratama, Firman M. Firmansyah |
28 |
[GO] |
2022―Sep―07 |
Detection of COVID-19 using deep learning on x-ray lung images |
AbdAlRahman Odeh, Ayah Alomar, Shadi Aljawarneh |
29 |
[GO] |
2022―Jul―07 |
Awareness of security and privacy settings in video conferencing apps among faculty during the COVID-19 pandemic |
Ali Alammary, Moneer Alshaikh, Ahmad R. Pratama |
30 |
[GO] |
2022―Jun―30 |
Classification of divorce causes during the COVID-19 pandemic using convolutional neural networks |
Arif Bramantoro, Inge Virdyna |
31 |
[GO] |
2022―Jun―15 |
The role of metacognition in promoting deep learning in MOOCs during COVID-19 pandemic |
Marwa Yasien Helmy Elbyaly, Abdellah Ibrahim Mohammed Elfeky |
32 |
[GO] |
2022―May―13 |
Mathematical COVID-19 model with vaccination: a case study in Saudi Arabia |
Abeer D. Algarni, Aws Ben Hamed, Monia Hamdi, Hela Elmannai, Souham Meshoul |
33 |
[GO] |
2022―Apr―25 |
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19? |
KC Santosh, Nicholas Rasmussen, Muntasir Mamun, Sunil Aryal |
34 |
[GO] |
2022―Mar―17 |
Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients |
Amril Nazir, Hyacinth Kwadwo Ampadu |
35 |
[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 |
36 |
[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 |
37 |
[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) Yanling Han, Jing Wang, Shuhu Yang, Hong Wu, Jiahao Li |
38 |
[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 |
39 |
[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 |
40 |
[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 |
41 |
[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 |
42 |
[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 |
43 |
[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 |
44 |
[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) Oluwabunmi Omobolanle Olaniyan, Theresa Omolayo Ojewumi, Idowu Sunday Oyetade, Ademola Adegoke Aremu, Aderonke Anthonia Kayode |
45 |
[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 |
46 |
[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 |
47 |
[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 |
48 |
[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 |
49 |
[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 |
50 |
[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 |
51 |
[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 |
52 |
[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 |
53 |
[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 |
54 |
[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 |
55 |
[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 |
56 |
[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 |
57 |
[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 |
58 |
[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 |
59 |
[GO] |
2020―Oct―12 |
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features |
Dina A. Ragab, Omneya Attallah |
60 |
[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 |