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A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences
(AMER INST MATHEMATICAL SCIENCES-AIMS, PO BOX 2604, SPRINGFIELD, MO 65801-2604, 2021)
In this work, Deep Bidirectional Recurrent Neural Networks (BRNNs) models were
implemented based on both Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)
cells in order to distinguish between genome sequence ...
Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2
(VERDUCI PUBLISHER, VIA GREGORIO VII, ROME 186-00165, ITALY, 2020)
Researchers have found many
similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARSCoV-19 through existing data that reveal the
SARS’s cause. Artificial intelligence (AI) learning models can ...
Deep learning applications to combat the dissemination of COVID-19 disease: a review
(VERDUCI PUBLISHER, VIA GREGORIO VII, ROME 186-00165, ITALY, 2020)
Recent Coronavirus (COVID-19)
is one of the respiratory diseases, and it is
known as fast infectious ability. This dissemination can be decelerated by diagnosing and
quarantining patients with COVID-19 at early
stages, ...