登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Omondi, Stephen, Yoshikawa, Akimasa, Zahra, Waheed K., Fathy, Ibrahim, Mahrous, Ayman (2023) Automatic detection of auroral Pc5 geomagnetic pulsation using machine learning approach guided with discrete wavelet transform. Advances in Space Research, 72 (3) 866-883 doi:10.1016/j.asr.2022.06.063

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAutomatic detection of auroral Pc5 geomagnetic pulsation using machine learning approach guided with discrete wavelet transform
JournalAdvances in Space Research
AuthorsOmondi, StephenAuthor
Yoshikawa, AkimasaAuthor
Zahra, Waheed K.Author
Fathy, IbrahimAuthor
Mahrous, AymanAuthor
Year2023 (August)Volume72
Issue3
PublisherElsevier BV
DOIdoi:10.1016/j.asr.2022.06.063Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15919263Long-form Identifiermindat:1:5:15919263:6
GUID0
Full ReferenceOmondi, Stephen, Yoshikawa, Akimasa, Zahra, Waheed K., Fathy, Ibrahim, Mahrous, Ayman (2023) Automatic detection of auroral Pc5 geomagnetic pulsation using machine learning approach guided with discrete wavelet transform. Advances in Space Research, 72 (3) 866-883 doi:10.1016/j.asr.2022.06.063
Plain TextOmondi, Stephen, Yoshikawa, Akimasa, Zahra, Waheed K., Fathy, Ibrahim, Mahrous, Ayman (2023) Automatic detection of auroral Pc5 geomagnetic pulsation using machine learning approach guided with discrete wavelet transform. Advances in Space Research, 72 (3) 866-883 doi:10.1016/j.asr.2022.06.063
In(2023, August) Advances in Space Research Vol. 72 (3) Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Omondi, Stephen, Yoshikawa, Akimasa, Zahra, Waheed K., Fathy, Ibrahim, Mahrous, Ayman (2023) Alex magnetometer and telluric station in Egypt: First results on pulsation analysis. Advances in Space Research, 72 (3) 711-725 doi:10.1016/j.asr.2022.09.014
Pappoe, Justice Allotey, Yoshikawa, Akimasa, Kandil, Ali, Mahrous, Ayman (2024) A machine learning approach combined with wavelet analysis for automatic detection of Pc5 geomagnetic pulsations observed at geostationary orbits. Advances in Space Research, 74 (12). doi:10.1016/j.asr.2023.11.001
Tete, Stephen, Otsuka, Yuichi, Zahra, Waheed K., Mahrous, Ayman (2024) Machine learning approach for ionospheric scintillation prediction on ROTI parameter over the African region during solar cycle 24. Advances in Space Research, 74 (12). doi:10.1016/j.asr.2023.12.026
Hamada, A.M., Mahrous, A.M., Fathy, I., Ghamry, E., Groves, K., Yumoto, K. (2015) TEC variations during geomagnetic storm/substorm with Pc5/PI2 pulsation signature. Advances in Space Research, 55. 2534-2542 doi:10.1016/j.asr.2015.02.010
Bolaji, O.S. (2016) Comments on the paper “TEC variations during geomagnetic storm/substorm with PC5/PI2 pulsation signature” by A.M. Hamada, A.M. Mahrous, I. Fathy, E. Ghamry, K. Groves, K. Yumoto. Advances in Space Research, 57. 1044-1046 doi:10.1016/j.asr.2015.12.033
Rukundo, W., Shiokawa, K., Elsaid, A, AbuElezz, Ola A., Mahrous, Ayman M. (2023) A machine learning approach for total electron content (TEC) prediction over the northern anomaly crest region in Egypt. Advances in Space Research, 72 (3) 790-804 doi:10.1016/j.asr.2022.10.052
Githio, Lynne, Liu, Huixin, Arafa, Ayman A., Mahrous, Ayman (2024) A machine learning approach for estimating the drift velocities of equatorial plasma bubbles based on All-Sky Imager and GNSS observations. Advances in Space Research, 74 (11). doi:10.1016/j.asr.2024.08.067
Alenazi, Moqbil S., Mahrous, Ayman, Fathy, Ibrahim, Nouh, Mohamed, Elkholy, Essam, Elkhateeb, Magdy, Tharwat, Rasha, Shalaby, Heba, Ahmed, Yara (2020) First results of Arar-magnetometer station in Saudi Arabia. Advances in Space Research, 65. 1439-1446 doi:10.1016/j.asr.2019.12.009
M. Salah, Hager, Babatunde, Rabiu, Okoh, Daniel, Youssef, M., Mahrous, Ayman (2024) Machine learning approach for prediction of ionospheric irregularities on ROTI index over the Northern anomaly crest in Egypt during solar cycle 24. Advances in Space Research, 74 (4) 1810-1827 doi:10.1016/j.asr.2024.05.022
Jhajharia, Kavita, Mathur, Pratistha (2023) Prediction of crop yield using satellite vegetation indices combined with machine learning approaches. Advances in Space Research, 72 (9) 3998-4007 doi:10.1016/j.asr.2023.07.006
Kapil, Chandan, Seemala, Gopi K. (2024) Machine learning approach for detection of plasma depletions from TEC. Advances in Space Research, 73 (7) 3833-3844 doi:10.1016/j.asr.2023.04.042
 
and/or  
版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.7 00:10:36
Go to top of page