Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Soukaïna Filali Boubrahimi"'
Publikováno v:
Universe, Vol 10, Iss 9, p 373 (2024)
Solar flares are significant occurrences in solar physics, impacting space weather and terrestrial technologies. Accurate classification of solar flares is essential for predicting space weather and minimizing potential disruptions to communication,
Externí odkaz:
https://doaj.org/article/2d133ae7041d4c449a8eaf257eb057ec
Publikováno v:
Universe, Vol 10, Iss 6, p 234 (2024)
Solar flares are characterized by sudden bursts of electromagnetic radiation from the Sun’s surface, and are caused by the changes in magnetic field states in active solar regions. Earth and its surrounding space environment can suffer from various
Externí odkaz:
https://doaj.org/article/0c99a672371a4d55a297ae0a22973473
Autor:
Saichand Thota, Ayman Nassar, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Pouya Hosseinzadeh
Publikováno v:
Hydrology, Vol 11, Iss 5, p 66 (2024)
Streamflow prediction is crucial for planning future developments and safety measures along river basins, especially in the face of changing climate patterns. In this study, we utilized monthly streamflow data from the United States Bureau of Reclama
Externí odkaz:
https://doaj.org/article/1e008e3f04214292a46795344e906801
Publikováno v:
Universe, Vol 10, Iss 5, p 191 (2024)
Solar wind modeling is classified into two main types: empirical models and physics-based models, each designed to forecast solar wind properties in various regions of the heliosphere. Empirical models, which are cost-effective, have demonstrated sig
Externí odkaz:
https://doaj.org/article/984410c459d14a1aa14eaa750d5f03ba
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 275, Iss 1, p 6 (2024)
The accurate prediction of solar flares is crucial due to their risks to astronauts, space equipment, and satellite communication systems. Our research enhances solar flare prediction by employing sophisticated data preprocessing and sampling techniq
Externí odkaz:
https://doaj.org/article/767305266c7a4cc5843b41c26b472e95
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 271, Iss 2, p 39 (2024)
Photospheric magnetic field parameters are frequently used to analyze and predict solar events. Observation of these parameters over time, i.e., representing solar events by multivariate time-series (MVTS) data, can determine relationships between ma
Externí odkaz:
https://doaj.org/article/942a29669659452ab69e27c46c33b41b
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 270, Iss 2, p 31 (2024)
Solar energetic particles (SEPs) are associated with extreme solar events that can cause major damage to space- and ground-based life and infrastructure. High-intensity SEP events, particularly ∼100 MeV SEP events, can pose severe health risks for
Externí odkaz:
https://doaj.org/article/25060647af794e48a41a767209796a5d
Publikováno v:
Hydrology, Vol 10, Iss 2, p 29 (2023)
Streamflow prediction plays a vital role in water resources planning in order to understand the dramatic change of climatic and hydrologic variables over different time scales. In this study, we used machine learning (ML)-based prediction models, inc
Externí odkaz:
https://doaj.org/article/c53810b21af24c11af50e59fa2995d9e
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b70d6fed0140571c9eec3cfee066cb22
https://doi.org/10.1109/icmla55696.2022.00199
https://doi.org/10.1109/icmla55696.2022.00199
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cee9af2aec6fa7c02e27c057918bfb1
https://doi.org/10.1145/3511808.3557663
https://doi.org/10.1145/3511808.3557663