Cargando…
Algorithms for Covid-19 outbreak using soft set theory: estimation and application
Coronavirus disease (Covid-19) is a novel pandemic disease. Covid-19 originates from SARS-COV2 and represents the cause of a potentially fatal disease as a global public health problem. However, we have to renew our knowledge about the symptoms of this disease day by day. If we look generally, altho...
Autores principales: | Dalkılıç, Orhan, Demirtaş, Naime |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569008/ https://www.ncbi.nlm.nih.gov/pubmed/36268457 http://dx.doi.org/10.1007/s00500-022-07519-5 |
Ejemplares similares
-
RETRACTED ARTICLE: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM
por: Rauf, Hafiz Tayyab, et al.
Publicado: (2021) -
Swarm-based hybrid optimization algorithms: an exhaustive analysis and its applications to electricity load and price forecasting
por: Kottath, Rahul, et al.
Publicado: (2023) -
Evidence of the correlation between a city’s air pollution and human health through soft computing
por: Rampone, Salvatore, et al.
Publicado: (2021) -
Early infectious diseases identification based on complex probabilistic hesitant fuzzy N-soft information
por: Ashraf, Shahzaib, et al.
Publicado: (2023) -
Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm
por: Deng, Fan, et al.
Publicado: (2021)