[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
Event prediction in the big data era: A systematic survey
L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …
either our society or the nature, such as earthquakes, civil unrest, system failures …
Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
K Nikolopoulos, S Punia, A Schäfers… - European journal of …, 2021 - Elsevier
Policymakers during COVID-19 operate in uncharted territory and must make tough
decisions. Operational Research–the ubiquitous 'science of better'–plays a vital role in …
decisions. Operational Research–the ubiquitous 'science of better'–plays a vital role in …
COVID-19 future forecasting using supervised machine learning models
Machine learning (ML) based forecasting mechanisms have proved their significance to
anticipate in perioperative outcomes to improve the decision making on the future course of …
anticipate in perioperative outcomes to improve the decision making on the future course of …
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
T Chakraborty, I Ghosh - Chaos, Solitons & Fractals, 2020 - Elsevier
Abstract The coronavirus disease 2019 (COVID-19) has become a public health emergency
of international concern affecting 201 countries and territories around the globe. As of April …
of international concern affecting 201 countries and territories around the globe. As of April …
Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty
Algorithmic transparency entails exposing system properties to various stakeholders for
purposes that include understanding, improving, and contesting predictions. Until now, most …
purposes that include understanding, improving, and contesting predictions. Until now, most …
[HTML][HTML] Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions
The substantial increase in the number of daily new cases infected with coronavirus around
the world is alarming, and several researchers are currently using various mathematical and …
the world is alarming, and several researchers are currently using various mathematical and …
Association of COVID-19 pandemic with meteorological parameters over Singapore
Meteorological parameters are the critical factors affecting the transmission of infectious
diseases such as Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory …
diseases such as Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory …
Forecasting of COVID-19 using deep layer recurrent neural networks (RNNs) with gated recurrent units (GRUs) and long short-term memory (LSTM) cells
In December 2019, first case of the COVID-19 was reported in Wuhan, Hubei province in
China. Soon world health organization has declared contagious coronavirus disease (aka …
China. Soon world health organization has declared contagious coronavirus disease (aka …
COVID-19: a comparison of time series methods to forecast percentage of active cases per population
The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing
governments to introduce extreme measures to reduce its spread. Being able to accurately …
governments to introduce extreme measures to reduce its spread. Being able to accurately …