Archivio Istituzionale della RicercaIMAM, RAYAN MOHAMED ELMUBARAK ALI
IMAM, RAYAN MOHAMED ELMUBARAK ALI
Dipartimento di Elettronica e Telecomunicazioni
RMEA Imam; Imam, Rayan; Rayan Imam; Rayan Mohamed Elmubarak Ali Imam
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Risultati 1 - 5 di 5 (tempo di esecuzione: 0.007 secondi).
Detecting Phase Scintillation at High Latitudes Using Ionospheric Scintillation Monitoring Records and Machine Learning Techniques
2021 Imam, Rayan; Savas, Caner; Dovis, Fabio
Distinguishing Ionospheric Scintillation from Multipath in GNSS Signals Using Bagged Decision Trees Algorithm
2020 Imam, R.; Dovis, F.
Opportunistic use of GNSS Signals to Characterize the Environment by Means of Machine Learning Based Processing
2020 Dovis, F.; Imam, R.; Qin, W.; Savas, C.; Visser, H.
Data from GNSS-Based Passive Radar to Support Flood Monitoring Operations
2019 Imam, Rayan; Pini, Marco; Marucco, Gianluca; Dominici, Fabrizio; Dovis, Fabio
Detecting water using UAV-based GNSS-Reflectometry data and Artificial Intelligence
2019 Favenza, A.; Imam, R.; Dovis, F.; Pini, M.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Detecting Phase Scintillation at High Latitudes Using Ionospheric Scintillation Monitoring Records and Machine Learning Techniques / Imam, Rayan; Savas, Caner; Dovis, Fabio. - ELETTRONICO. - (2021), pp. 37-42. (Intervento presentato al convegno 2021 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) tenutosi a Cleveland, OH, USA nel 12-14 Oct. 2021) [10.1109/WiSEE50203.2021.9613840]. | 1-gen-2021 | Imam, RayanSavas, CanerDovis, Fabio | WiSEE21_conferenceFullPaper_pdfexpress.pdf; Detecting_Phase_Scintillation_at_High_Latitudes_Using_Ionospheric_Scintillation_Monitoring_Records_and_Machine_Learning_Techniques.pdf |
| Distinguishing Ionospheric Scintillation from Multipath in GNSS Signals Using Bagged Decision Trees Algorithm / Imam, R.; Dovis, F.. - ELETTRONICO. - (2020), pp. 83-88. (Intervento presentato al convegno 8th Annual IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2020 tenutosi a Vicenza, Italy nel 2020) [10.1109/WiSEE44079.2020.9262699]. | 1-gen-2020 | Imam R.Dovis F. | 1570664568 (1).pdf; Imam-Distinguishing.pdf |
| Opportunistic use of GNSS Signals to Characterize the Environment by Means of Machine Learning Based Processing / Dovis, F.; Imam, R.; Qin, W.; Savas, C.; Visser, H.. - ELETTRONICO. - 2020-:(2020), pp. 9190-9194. (Intervento presentato al convegno 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 tenutosi a Barcelona, Spain, Spain nel 4-8 May 2020) [10.1109/ICASSP40776.2020.9052924]. | 1-gen-2020 | Dovis F.Imam R.Qin W.Savas C. + | 09052924.pdf; ICASSP2020_reviewed.pdf |
| Data from GNSS-Based Passive Radar to Support Flood Monitoring Operations / Imam, Rayan; Pini, Marco; Marucco, Gianluca; Dominici, Fabrizio; Dovis, Fabio. - ELETTRONICO. - (2019), pp. 1-7. (Intervento presentato al convegno 2019 International Conference on Localization and GNSS (ICL-GNSS) tenutosi a Nuremberg, Germany nel 4-6 June 2019) [10.1109/ICL-GNSS.2019.8752942]. | 1-gen-2019 | Imam, RayanDovis, Fabio + | 08752942.pdf; Imam2019data.pdf |
| Detecting water using UAV-based GNSS-Reflectometry data and Artificial Intelligence / Favenza, A.; Imam, R.; Dovis, F.; Pini, M.. - ELETTRONICO. - (2019), pp. 7-12. (Intervento presentato al convegno 2019 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2019 tenutosi a University of Naples - Department of Agricultural Sciences, ita nel 2019) [10.1109/MetroAgriFor.2019.8909267]. | 1-gen-2019 | Imam R.Dovis F. + | Favenza2019detecting_MetroAgriFor_NoCopyrightSign.pdf; Favenza2019detecting_MetroAgriFor_IEEEcopyright.pdf |