FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3200274854> ?p ?o ?g. }

• W3200274854 endingPage "1940" @default.
• W3200274854 startingPage "1915" @default.
• W3200274854 abstract "Coronavirus disease is communicable and inhibits the infected person's immune system. It belongs to the Coronaviridae family and has affected 213 nations and territories so far. Many kinds of studies are being carried out to filter advice and provide oversight to monitor this outbreak. A comparative and brief review was carried out in this paper on research concerning the early identification of symptoms, estimation of the end of the pandemic, and examination of user-generated conversations. Chest X-ray images, abdominal computed tomography scan, tweets shared on social media are several of the datasets used by researchers. Using machine learning and deep learning methods such as K-means clustering, Random Forest, Convolutional Neural Network, Long Short-Term Memory, Auto-Encoder, and Regression approaches, the above-mentioned datasets are processed. The studies on COVID-19 with machine learning and deep learning models with their results and limitations are outlined in this article. The challenges with open future research directions are discussed at the end." @default.
• W3200274854 created "2021-09-27" @default.
• W3200274854 creator A5025712960 @default.
• W3200274854 creator A5047490652 @default.
• W3200274854 date "2021-09-18" @default.
• W3200274854 modified "2023-10-16" @default.
• W3200274854 title "COVID-19: A Comprehensive Review of Learning Models" @default.
• W3200274854 cites W2064675550 @default.
• W3200274854 cites W2176950688 @default.
• W3200274854 cites W2971852873 @default.
• W3200274854 cites W2986878665 @default.
• W3200274854 cites W2998569244 @default.
• W3200274854 cites W3004227146 @default.
• W3200274854 cites W3005879071 @default.
• W3200274854 cites W3009876049 @default.
• W3200274854 cites W3011149445 @default.
• W3200274854 cites W3011414569 @default.
• W3200274854 cites W3012038738 @default.
• W3200274854 cites W3012857944 @default.
• W3200274854 cites W3013056994 @default.
• W3200274854 cites W3013601031 @default.
• W3200274854 cites W3014289208 @default.
• W3200274854 cites W3014361272 @default.
• W3200274854 cites W3014524604 @default.
• W3200274854 cites W3014789701 @default.
• W3200274854 cites W3014924062 @default.
• W3200274854 cites W3015619547 @default.
• W3200274854 cites W3016540417 @default.
• W3200274854 cites W3016912206 @default.
• W3200274854 cites W3016966855 @default.
• W3200274854 cites W3017243633 @default.
• W3200274854 cites W3017267196 @default.
• W3200274854 cites W3017855299 @default.
• W3200274854 cites W3019119825 @default.
• W3200274854 cites W3019531985 @default.
• W3200274854 cites W3020653337 @default.
• W3200274854 cites W3021622280 @default.
• W3200274854 cites W3022122691 @default.
• W3200274854 cites W3022163878 @default.
• W3200274854 cites W3022421511 @default.
• W3200274854 cites W3022714712 @default.
• W3200274854 cites W3022787740 @default.
• W3200274854 cites W3022885394 @default.
• W3200274854 cites W3025352604 @default.
• W3200274854 cites W3027560633 @default.
• W3200274854 cites W3027763298 @default.
• W3200274854 cites W3027764902 @default.
• W3200274854 cites W3030109869 @default.
• W3200274854 cites W3030419021 @default.
• W3200274854 cites W3030621456 @default.
• W3200274854 cites W3032017599 @default.
• W3200274854 cites W3034560014 @default.
• W3200274854 cites W3035151116 @default.
• W3200274854 cites W3035862209 @default.
• W3200274854 cites W3036552116 @default.
• W3200274854 cites W3036688711 @default.
• W3200274854 cites W3038744550 @default.
• W3200274854 cites W3045460727 @default.
• W3200274854 cites W3045975320 @default.
• W3200274854 cites W3083753334 @default.
• W3200274854 cites W3086039674 @default.
• W3200274854 cites W3089168916 @default.
• W3200274854 cites W3091940685 @default.
• W3200274854 cites W3091978650 @default.
• W3200274854 cites W3092624683 @default.
• W3200274854 cites W3100347265 @default.
• W3200274854 cites W3101156210 @default.
• W3200274854 cites W3105081694 @default.
• W3200274854 cites W3105297460 @default.
• W3200274854 cites W3105625590 @default.
• W3200274854 cites W3105777051 @default.
• W3200274854 cites W3105837102 @default.
• W3200274854 cites W3106386211 @default.
• W3200274854 cites W3108656121 @default.
• W3200274854 cites W3118109004 @default.
• W3200274854 cites W3121555817 @default.
• W3200274854 cites W3123136237 @default.
• W3200274854 cites W3126084544 @default.
• W3200274854 cites W3129576291 @default.
• W3200274854 cites W3129581972 @default.
• W3200274854 cites W3133191822 @default.
• W3200274854 cites W3135243128 @default.
• W3200274854 cites W3154884208 @default.
• W3200274854 cites W3156342878 @default.
• W3200274854 cites W3162351260 @default.
• W3200274854 cites W3164076340 @default.
• W3200274854 cites W3167147947 @default.
• W3200274854 cites W3213595227 @default.
• W3200274854 cites W4205376592 @default.
• W3200274854 cites W4205775575 @default.
• W3200274854 cites W4206233629 @default.
• W3200274854 cites W4247903017 @default.
• W3200274854 cites W4313291495 @default.
• W3200274854 doi "https://doi.org/10.1007/s11831-021-09641-3" @default.
• W3200274854 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8449694" @default.
• W3200274854 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34566404" @default.
• W3200274854 hasPublicationYear "2021" @default.
• W3200274854 type Work @default.

• next