Articles with "learning forecasting" as a keyword



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A machine learning forecasting model for COVID-19 pandemic in India

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Published in 2020 at "Stochastic Environmental Research and Risk Assessment"

DOI: 10.1007/s00477-020-01827-8

Abstract: Coronavirus disease (COVID-19) is an inflammation disease from a new virus. The disease causes respiratory ailment (like influenza) with manifestations, for example, cold, cough and fever, and in progressively serious cases, the problem in breathing.… read more here.

Keywords: machine learning; learning forecasting; covid 2019; covid ... See more keywords

Deep Learning Forecasting in Cryptocurrency High-Frequency Trading

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Published in 2021 at "Cognitive Computation"

DOI: 10.1007/s12559-021-09841-w

Abstract: Background Like common stocks, Bitcoin price fluctuations are non-stationary and highly noisy. Due to attractiveness of Bitcoin in terms of returns and risk, Bitcoin price prediction is attracting a growing attention from both investors and… read more here.

Keywords: high frequency; learning forecasting; frequency; deep learning ... See more keywords
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Confidence‐aware deep learning forecasting system for daily solar irradiance

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Published in 2019 at "IET Renewable Power Generation"

DOI: 10.1049/iet-rpg.2018.5354

Abstract: For better deep learning forecasting systems for photovoltaic systems, confidence information about a point forecast is necessary in practical cases where uncertainties are unavoidable. In this study, using Bayesian deep learning, the authors introduce a… read more here.

Keywords: confidence; confidence information; deep learning; learning forecasting ... See more keywords
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Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections

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Published in 2022 at "Archives of Disease in Childhood"

DOI: 10.1136/archdischild-2022-323822

Abstract: Objective The COVID-19 pandemic and subsequent government restrictions have had a major impact on healthcare services and disease transmission, particularly those associated with acute respiratory infection. This study examined non-identifiable routine electronic patient record data… read more here.

Keywords: respiratory infections; machine; machine learning; learning forecasting ... See more keywords
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Deep Learning Forecasting for Supporting Terminal Operators in Port Business Development

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Published in 2022 at "Future Internet"

DOI: 10.3390/fi14080221

Abstract: Accurate forecasts of containerised freight volumes are unquestionably important for port terminal operators to organise port operations and develop business plans. They are also relevant for port authorities, regulators, and governmental agencies dealing with transportation.… read more here.

Keywords: business; forecasting supporting; supporting terminal; learning forecasting ... See more keywords