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Prevention of Covid-19 affected patient using multi robot cooperation and Q-learning approach

A solution

Bibliographic Data

ID21378155
AuthorsBandita Sahu (Veer Surendra Sai University of Technology), Pradipta Kumar Das (0000-0003-4771-197X, Veer Surendra Sai University of Technology), Manas Ranjan Kabat (Veer Surendra Sai University of Technology), Raghvendra Kumar (0000-0002-6872-3681, GIET University, corresponding author)
Year2022
Volume56
Issue2
Pages793-821
Publication date2022-04-01
Open AccessYes
TypeARTICLE
VenueQuality & Quantity (JOURNAL)
Journal identifiersISSN: 0033-5177 • E-ISSN: 1573-7845
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11135-021-01155-1
PMID33972809
OpenAlexW3159398692
LanguageEN
References cited26

Boundary (topology) · Business · Coronavirus disease 2019 (COVID-19) · Disease · Infectious disease (medical specialty) · Machine learning · Reinforcement learning · Robot · Service (business) · Set (abstract data type) · Simplicity · Simulation · Software deployment · Software engineering · Artificial Intelligence · Computer Science · COVID-19 epidemiological studies · Long-Term Effects of COVID-19 · Mathematics · Medicine · SARS-CoV-2 and COVID-19 Research

  • Covid-19 infection

    Open Access•Muhammad Adnan Shereen, Suliman Khan et al.•Journal of Advanced Research•2020

  • A Review of Coronavirus Disease-2019 (Covid-19)

    Open Access•Tanu Singhal•The Indian Journal of Pediatrics•2020

  • Severe acute respiratory syndrome coronavirus 2 (Sars-CoV-2) and coronavirus disease-2019 (Covid-19)

    Open Access•Chih-Cheng Lai, Tzu-Ping Shih et al.•International Journal of…•2020

Highly citedNo

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