Zobrazeno 1 - 10
of 10 469
pro vyhledávání: '"Time-series forecasting"'
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 11, Pp 1569-1594 (2024)
Recently time series forecasting has become one of the prime application areas of climatology, economics and industries. Many research works are conducted to forecast the time series more accurately. But few of them are concentrated on predicting the
Externí odkaz:
https://doaj.org/article/f6d41d8ab312462992f11aeee951d419
Autor:
Hakan Pabuccu, Adrian Barbu
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-26 (2024)
Abstract Stock market and cryptocurrency forecasting is very important to investors as they aspire to achieve even the slightest improvement to their buy-or-hold strategies so that they may increase profitability. However, obtaining accurate and reli
Externí odkaz:
https://doaj.org/article/fbd7c6fa3b344c3189461a8229c95447
Autor:
Erick Estrada-Patiño, Guadalupe Castilla-Valdez, Juan Frausto-Solis, Javier González-Barbosa, Juan Paulo Sánchez-Hernández
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract This paper presents FORSEER (Forecasting by Selective Ensemble Estimation and Reconstruction), a novel methodology designed to address temperature forecasting under the challenges inherent to climate change. FORSEER integrates decomposition,
Externí odkaz:
https://doaj.org/article/5e6e71559d1741ee874669cb47a27856
Autor:
Kameron B. Kinast, Ernest Fokoué
Publikováno v:
Forecasting, Vol 6, Iss 3, Pp 815-838 (2024)
With growing concerns over climate change, accurately predicting temperature trends is crucial for informed decision-making and policy development. In this study, we perform a comprehensive comparative analysis of four advanced time series forecastin
Externí odkaz:
https://doaj.org/article/e765b796fc984ac19c8dd1d75c403682
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 0, Iss 0, Pp 1-30 (2024)
Lauded for its capacity to curtail building energy consumption and enhance environmental performance compared to traditional mineral-based materials, wood has gained substantial traction in the construction sector. Timber construction, which is a foc
Externí odkaz:
https://doaj.org/article/a637b38fb5b648d8b75502f20b6f5902
Autor:
Golabchi, Hamidreza, Hammad, Ahmed
Publikováno v:
Construction Innovation, 2023, Vol. 24, Issue 4, pp. 1048-1065.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CI-11-2021-0211
Publikováno v:
Revista de Gestão, 2024, Vol. 31, Issue 2, pp. 152-165.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/REGE-05-2022-0079
Autor:
Musleh Alharthi, Ausif Mahmood
Publikováno v:
AI, Vol 5, Iss 3, Pp 1482-1495 (2024)
In recent years, transformer-based models have gained prominence in multivariate long-term time series forecasting (LTSF), demonstrating significant advancements despite facing challenges such as high computational demands, difficulty in capturing te
Externí odkaz:
https://doaj.org/article/efc2ad1154e84ae7833e888935f8c684
Publikováno v:
Forecasting, Vol 6, Iss 3, Pp 616-636 (2024)
Deep neural networks (DNNs) are prominent in predictive analytics for accurately forecasting target variables. However, inherent uncertainties necessitate constructing prediction intervals for reliability. The existing literature often lacks practica
Externí odkaz:
https://doaj.org/article/9be8a7b56596485f91928e854fad4c3b