Zobrazeno 1 - 10
of 446
pro vyhledávání: '"time series forecast"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Time series analysis predicts the future based on existing historical data and has a wide range of applications in finance, economics, meteorology, biology, engineering, and other fields. Although the combination of decomposition techniques
Externí odkaz:
https://doaj.org/article/4e5e24ec3bdc476e891900834f47eff5
Autor:
Bochu Liu, Oliver Mytton, John Rahilly, Ben Amies-Cull, Nina Rogers, Tom Bishop, Michael Chang, Steven Cummins, Daniel Derbyshire, Suzan Hassan, Yuru Huang, Antonieta Medina-Lara, Bea Savory, Richard Smith, Claire Thompson, Martin White, Jean Adams, Thomas Burgoine
Publikováno v:
International Journal of Health Geographics, Vol 23, Iss 1, Pp 1-16 (2024)
Abstract Background Neighbourhood exposure to takeaways can contribute negatively to diet and diet-related health outcomes. Urban planners within local authorities (LAs) in England can modify takeaway exposure through denying planning permission to n
Externí odkaz:
https://doaj.org/article/32c361bcb4b242048dc0ed3eb2e0102b
Autor:
Noella Nazareth, Y V. Reddy
Publikováno v:
Australasian Accounting, Business and Finance Journal, Vol 18, Iss 3, Pp 223-247 (2024)
The COVID-19 pandemic has led to reduced economic and industrial activities, prompting a noticeable transition towards a more sustainable way of life. This could indicate that we are on the path to reducing our carbon footprint in the long term. Co
Externí odkaz:
https://doaj.org/article/d8bf76840a69408f99be6dcd36f47b09
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 3, Pp 335-343 (2024)
Abstract Machine intelligence is at great height these days and has been evident with its effective provenance in almost all domains of science and technology. This work will focus on one handy and profound application of machine intelligence-time se
Externí odkaz:
https://doaj.org/article/cc325282c7124efeb41121fec62edf24
Publikováno v:
Emerging Contaminants, Vol 10, Iss 3, Pp 100326- (2024)
Intentionally added plastic microbeads in personal care products (PCP) are an underestimated source of microplastics. These microbeads are added as fillers, to increase product volume or aesthetics and allegedly have the purpose of cleansing and exfo
Externí odkaz:
https://doaj.org/article/ad1ed1c04ba6401c8d27ce0b9886cc69
Autor:
Musaed Alrashidi
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 12323-12356 (2024)
Forecasting solar irradiance, particularly Global Horizontal Irradiance (GHI), has drawn much interest recently due to the rising demand for renewable energy sources. Many works have been proposed in the literature to forecast GHI by incorporating we
Externí odkaz:
https://doaj.org/article/0a1380867bae47ae9b3fb22e9c10d6e1
Autor:
Kaifeng Guo, Haoling Xie
Publikováno v:
PeerJ Computer Science, Vol 10, p e2018 (2024)
The widespread adoption of social media platforms has led to an influx of data that reflects public sentiment, presenting a novel opportunity for market analysis. This research aims to quantify the correlation between the fleeting sentiments expresse
Externí odkaz:
https://doaj.org/article/bcb5560b06914d829e51eb9a483fb4b0
Publikováno v:
IEEE Access, Vol 12, Pp 57603-57612 (2024)
Aiming at the problem that the traditional time series prediction model only considers a single node (region), does not take into account the spatial interactivity among multiple nodes and the cycle characteristics embedded in the time series data, a
Externí odkaz:
https://doaj.org/article/9e05d2fd8d744a28bfae47562b81fa5c
Publikováno v:
PeerJ Computer Science, Vol 10, p e1969 (2024)
The stock market serves as a macroeconomic indicator, and stock price forecasting aids investors in analysing market trends and industry dynamics. Several deep learning network models have been proposed and extensively applied for stock price predict
Externí odkaz:
https://doaj.org/article/3dfc9637f2d9415aa81c8dad54ca5fef
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 6, p 943 (2024)
The spatial-temporal distribution of underwater sound speed plays a critical role in determining the propagation mode of underwater acoustic signals. Therefore, rapid estimation and prediction of sound speed distribution are imperative for facilitati
Externí odkaz:
https://doaj.org/article/e1fcfeed7c9143dcae615d2b3afea7c7