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Applied Soft Computing|December 26, 2022
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detectionWilliam Scott Paka, Rachit Bansal, Abhay Kaushik, et al.
Applied Soft Computing|December 26, 2022
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweetsSreeJagadeesh Malla, Alphonse P J A
Applied Soft Computing|January 23, 2023
An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosisLarissa Ferreira Rodrigues Moreira, Rodrigo Moreira, Bruno Augusto Nassif Travençolo, et al.
Applied Soft Computing|June 30, 2021
Real-time prediction of COVID-19 patients health situations using Artificial Neural Networks and Fuzzy Interval Mathematical modelingMohamed Ali Elleuch, Amal Ben Hassena, Mohamed Abdelhedi, et al.
Applied Soft Computing|December 19, 2022
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision treesLeonardo Lucio Custode, Federico Mento, Francesco Tursi, et al.
Applied Soft Computing|June 27, 2022
COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approachDalton Borges, Mariá C V Nascimento
Applied Soft Computing|May 31, 2021
A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray imagesUnais Sait, Gokul Lal K V, Sanjana Shivakumar, et al.
Applied Soft Computing|December 3, 2020
Forecasting COVID-19 daily cases using phone call dataBahman Rostami-Tabar, Juan F Rendon-Sanchez
Applied Soft Computing|October 5, 2020
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers-A study to show how popularity is affecting accuracy in social mediaKoyel Chakraborty, Surbhi Bhatia, Siddhartha Bhattacharyya, et al.
Applied Soft Computing|May 16, 2022
Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemicFelin Wilta, Allyson Li Chen Chong, Ganeshsree Selvachandran, et al.
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