Prevention of Covid-19 affected patient using multi robot cooperation and Q-learning approach
A solution
Bibliographic Data
| ID | 21378155 |
|---|---|
| Authors | Bandita 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) |
| Year | 2022 |
| Volume | 56 |
| Issue | 2 |
| Pages | 793-821 |
| Publication date | 2022-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quality & Quantity (JOURNAL) |
| Journal identifiers | ISSN: 0033-5177 • E-ISSN: 1573-7845 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11135-021-01155-1 |
| PMID | 33972809 |
| OpenAlex | W3159398692 |
| Language | EN |
| References cited | 26 |
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
| Highly cited | No |
|---|