Papers COVID-19 Modelling
“COVID-19 Modelling” 태그가 달린 논문 3편 · 필터 해제
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19
2022-03-08
· Ashkan Farhangi, Arthur Huang, Zhishan Guo
The COVID-19 pandemic has significantly impacted the tourism and hospitality sector. Public policies such as travel restrictions and stay-at-home orders had significantly affected tourist activities and service businesse…
Correlated Time Series ForecastingCOVID-19 ModellingCOVID-19 TrackingInterpretability Techniques for Deep Learning+7Vision Transformer based COVID-19 Detection using Chest X-rays
2021-10-09
· Koushik Sivarama Krishnan, Karthik Sivarama Krishnan
COVID-19 is a global pandemic, and detecting them is a momentous task for medical professionals today due to its rapid mutations. Current methods of examining chest X-rays and CT scan requires profound knowledge and are …
COVID-19 DiagnosisCOVID-19 ModellingFrom the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growth
2020-08-06
· Oluwasegun A. Somefun, Kayode Akingbade, Folasade Dahunsi
Real-world growth processes, such as epidemic growth, are inherently noisy, uncertain and often involve multiple growth phases. The logistic-sigmoid function has been suggested and applied in the domain of modelling such…
COVID-19 ModellingTime SeriesTime Series Analysis
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