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Concurrency and Computation : Practice & Experience|July 3, 2026
RETRACTION: An Integrated Framework for COVID-19 Classification Based on Classical and Quantum Transfer Learning from a Chest RadiographConcurrency and Computation : Practice & Experience|July 17, 2020
Optimizing parameter sensitivity analysis of large-scale microscopy image analysis workflows with multilevel computation reuseWillian Barreiros, Jeremias Moreira, Tahsin Kurc, et al.Concurrency and Computation : Practice & Experience|April 28, 2021
A reference model for deploying applications in virtualized environmentsEnis Afgan, Dannon Baker, , et al.Concurrency and Computation : Practice & Experience|August 9, 2022
Covid-19 detection from radiographs by feature-reinforced ensemble learningAbdullah ElenConcurrency and Computation : Practice & Experience|November 3, 2015
Early experiences in developing and managing the neuroscience gatewaySubhashini Sivagnanam, Amit Majumdar, Kenneth Yoshimoto, et al.Concurrency and Computation : Practice & Experience|October 17, 2022
Multi-texture features and optimized DeepNet for COVID-19 detection using chest x-ray imagesAnandbabu Gopatoti, Vijayalakshmi PConcurrency and Computation : Practice & Experience|October 17, 2022
Prediction and forecasting of worldwide corona virus (COVID-19) outbreak using time series and machine learningPriyank Jain, Shriya SahuConcurrency and Computation : Practice & Experience|January 22, 2013
Optimization of a parallel permutation testing function for the SPRINT R packageSavvas Petrou, Terence M Sloan, Muriel Mewissen, et al.Concurrency and Computation : Practice & Experience|October 9, 2014
Enabling large-scale next-generation sequence assembly with BlacklightM Brian Couger, Lenore Pipes, Fabio Squina, et al.Concurrency and Computation : Practice & Experience|December 22, 2020
Population data mobility retrieval at territory of Czechia in pandemic COVID-19 periodJan Platos, Pavel Kromer, Miroslav Voznak, et al.Pageof 5