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Applied Soft Computing|November 1, 2021
MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare servicesFatih Ecer, Dragan Pamucar
Applied Soft Computing|August 30, 2021
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioningXiaorui Su, Zhuhong You, Lei Wang, et al.
Applied Soft Computing|May 5, 2020
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule inductionSimon James Fong, Gloria Li, Nilanjan Dey, et al.
Applied Soft Computing|March 8, 2021
A causal framework to determine the effectiveness of dynamic quarantine policy to mitigate COVID-19Werner Kristjanpoller, Kevin Michell, Marcel C Minutolo
Applied Soft Computing|October 25, 2022
Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmissionYing Wang, Alvin Wei Ze Chew, Limao Zhang
Applied Soft Computing|September 12, 2022
Twitter conversations predict the daily confirmed COVID-19 casesRabindra Lamsal, Aaron Harwood, Maria Rodriguez Read
Applied Soft Computing|September 12, 2022
Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approachYullys Quintero, Douglas Ardila, Jose Aguilar, et al.
Applied Soft Computing|September 26, 2022
A fuzzy approach to support decision-making in the triage process for suspected COVID-19 patients in BrazilNadya Regina Galo, Marcos Paulino Roriz Junior, Rodrigo Pinheiro Tóffano Pereira
Applied Soft Computing|November 15, 2024
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adultsGonzalo C Gutiérrez-Tobal, Daniel Álvarez, Fernando Vaquerizo-Villar, et al.
Applied Soft Computing|November 30, 2022
Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learningLinh T Duong, Phuong T Nguyen, Ludovico Iovino, et al.
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