Deep Learning Applications for COVID-19: A Brief Review

Tabrizchi, Hamed; Razmara, Jafar; Mosavi, Amir; Várkonyi-Kóczy, Annamária R.

doi:10.1007/978-981-19-0379-3_12

Cited by 8 publications

(2 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 1 includes the fundamental models of the pandemic [1,2,12]. Further advanced SIRDbased models and data-driven had been investigated in [13][14][15][16][17][18][19][20][21]. The above results show that social distancing, quarantine, and isolation of infected populations support in controlling of an epidemic.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear control of Covid-19 pandemic based on the SIRD model

Ghadami

Seyyedi

Rituraj

2022

2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY)

View full text Add to dashboard Cite

In the last month of 2019, a new version of Corona disease was observed in Wuhan (China) which is known as Covid-19. Several models have been proposed to predict disease treatment. The SIR model is considered one of the simplest models for the prediction of pandemic disease. This means susceptible (S), infected (I), and recovered (R) populations. The SIRD model is yet another method that includes one more equation, i.e., the number of deaths (D). This paper proposed a control law for the first time to prevent the progression of the disease. The proposed control law is based on the SIRD model that is determined using two methods, i.e., the input-state feedback linearization method and the input-output feedback linearization method for the nonlinear modeling of Covid-19. The goal of control in this model is to reduce the percentage or number of infected people and the number of deaths due to Covid-19 disease. Simulation results show that the feedback linearization methods can have positive results in a significant reduction in unfurl of Covid-19. Delay in quarantine of infected people and constant percentage of people who should be quarantined are investigated as two important parameters. Results show that the percentage of infected people decreases 96.3 % and the percentage of deaths decreases 93.6 % when delay in quarantine equals 7 weeks.

show abstract

Section: Introductionmentioning

confidence: 99%

Nonlinear control of Covid-19 pandemic based on the SIRD model

Ghadami

Seyyedi

Rituraj

2022

2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY)

View full text Add to dashboard Cite

show abstract

“…The process for conducting a systematic review of the documents is based on queries in the Scopus database integrated with PRISMA. The review methodology is based on earlier review techniques that were employed to build the state of the review on conventional neural networks in diverse applications [71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86]. The PRISMA found that the two most popular classical machine learning techniques are support vector machines and long-short term memories The following Figure illustrates the schematic representation of the methodology which is planned in three levels.…”

Section: Introductionmentioning

confidence: 99%