Results 21 to 30 of about 1,772,398 (306)
Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 As cryptocurrencies develop, it cannot be denied that crypto prices are volatile. One of the influencing factors is the increasing volume of transactions which attracts the interest of researchers to conduct research in developing coin price predictions ...
Risna Sari +3 more
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, 2021 Short-term predictions of wind power and its ramp events play a critical role in economic operation and risk management of smart grid. This paper proposes a hybrid forecasting model based on semi-supervised generative adversarial network (GAN) to solve ...
Bin Zhou +6 more
semanticscholar +1 more source
Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign [PDF]
Atmospheric Measurement Techniques, 2023 Satellite retrievals of tropospheric-column formaldehyde (HCHO) and nitrogen dioxide (NO2) are frequently used to investigate the sensitivity of ozone (O3) production to emissions of nitrogen oxides and volatile organic carbon compounds. This study inter-
M. S. Johnson +9 more
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Synthetic speech detection through short-term and long-term prediction traces
EURASIP Journal on Information Security, 2021 Several methods for synthetic audio speech generation have been developed in the literature through the years. With the great technological advances brought by deep learning, many novel synthetic speech techniques achieving incredible realistic results ...
Clara Borrelli +4 more
semanticscholar +1 more source
The Short Term Prediction of Analysts' Forecast Error [PDF]
SSRN Electronic Journal, 2012 We examine the profitability of implementing a short term trading strategy based on predicting the error in analysts' earnings per share forecasts using publicly available information. In the 1998-2010 I/B/E/S data, the strategy of taking a long (short) position in stocks with the most pessimistic (optimistic) consensus forecast and closing the ...
Boudt, Kris +3 more
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From drought to flooding in less than a week over South Carolina
Results in Physics, 2016 A deep tropical moisture connection to Hurricane Joaquin led to historic rainfall and flooding over South Carolina from 3 to 5 October 2015, erasing the prevailing moderate to severe meteorological and agricultural drought that had developed from May ...
Jonathan L. Case
doaj +1 more source
Measurement: Sensors, 2023 Traffic flow prediction is a very important research field in intelligent transportation system. The traditional prediction methods have a very wide application in traffic flow prediction.
Jingyi Lu
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Applied Soft Computing, 2020 Developing an accurate and reliable multi-step ahead prediction model is a key problem in many Prognostics and Health Management (PHM) applications. Inevitably, the further one attempts to predict into the future, the harder it is to achieve an accurate ...
Hoang-Phuong Nguyen, Jie Liu, E. Zio
semanticscholar +1 more source
Predictions of short-term rates and the expectations hypothesis [PDF]
International Journal of Forecasting, 2011 Abstract This paper emphasizes that traditional tests of the EH are based on two assumptions: the expectations hypothesis (EH) per se and an assumption about the expectations generating process (EGP) for the short-term rate. Arguing that conventional tests of the EH need to assume EGPs that may be significantly at odds with the true EGP, we ...
Guidolin, Massimo, Thornton, Daniel L.
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Short-Term Prediction of COVID-19 Cases Using Machine Learning Models
, 2021 The first case in Bangladesh of the novel coronavirus disease (COVID-19) was reported on 8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July 2020.
S. Alyami, M. A. Moni
semanticscholar +1 more source