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Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions
During the COVID-19 pandemic, there has been considerable research on how regional
and country-level forecasting can be used to anticipate required hospital resources. We add …
and country-level forecasting can be used to anticipate required hospital resources. We add …
Develo** a novel hybrid model for seismic loss prediction of regional-scale buildings
Q Hu, F **ong, B Zhang, P Su, Y Lu - Bulletin of Earthquake Engineering, 2022 - Springer
Seismic loss prediction of regional-scale buildings provides key information for disaster
management. However, previous seismic loss prediction models ignored the time-lag effect …
management. However, previous seismic loss prediction models ignored the time-lag effect …
HFMD cases prediction using transfer one-step-ahead learning
Hand, foot and mouth disease (HFMD) is a susceptible viral infectious disease to infants and
children, which led to millions of cases and hundreds of deaths annually in China. Existing …
children, which led to millions of cases and hundreds of deaths annually in China. Existing …
Forecasting Dengue Incidences in Bangladesh: A Univariate Time Series Approach
Dengue fever, an acute health concern in Bangladesh, has dramatically increased in
frequency and severity in recent years. The dengue epidemic experienced in 2023 …
frequency and severity in recent years. The dengue epidemic experienced in 2023 …
[PDF][PDF] Forecasting the spread of daily confirmed Covid-19 cases in Malaysia
COVID-19 is rapidly expanding across the globe. As a Southeast Asian region, Malaysia has
also been affected by COVID-19. Since the COVID-19 outbreak first emerged in China at the …
also been affected by COVID-19. Since the COVID-19 outbreak first emerged in China at the …
Machine Learning and COVID-19: Lessons from SARS-CoV-2
Currently, methods in machine learning have opened a significant number of applications to
construct classifiers with capacities to recognize, identify, and interpret patterns hidden in …
construct classifiers with capacities to recognize, identify, and interpret patterns hidden in …
[PDF][PDF] 코로나 19 확진자 수 예측을 위한 딥러닝 모델: 확산 패러다임 변화를 반영한 입력변수 조정
홍태경， 김은서， 이희상 - 대한산업공학회지, 2023 - jkiie.org
It is difficult to predict with traditional approaches since the number of confirmed cases of
COVID-19 fluctuates significantly. Therefore, this study tried to predict it by adopting machine …
COVID-19 fluctuates significantly. Therefore, this study tried to predict it by adopting machine …
[PDF][PDF] Impacto COVID-19 en Emisores de Valores del Sector Real de Alta Bursatilidad de la
SMP Pérez, JCV Bueno - Scientia et Technica - repositorio.udes.edu.co
La volatilidad de los mercados bursátiles en el mundo y en las diferentes economías
individuales, como consecuencia a las crisis económicas originadas principalmente por …
individuales, como consecuencia a las crisis económicas originadas principalmente por …