Space Pole Publications Server 34 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
1.
Conf. Talk 
Can a deep learning approach of detecting solar radio bursts perform better than the interquartile range threshold outlier detection method, currently running on the CALLISTO instrument of the Royal Observatory of Belgium? / Gunessee, Akhil ; Marqué, Christophe ; et al
Talk presented at CESRA, University of Hertfordshire, UK on 2023-07-03 [CTALK-2023-0124]
2.
 
HUMAIN RADIO-ASTRONOMY STATION: Current Status & Collaborative Opportunities / Martínez Picar, Antonio ; Marqué, Christophe ; et al
Poster presented at European Space Weather Week 2023 - Toulouse, France on 2023-11-20 [POSTER-2023-0047]
Files: Download fulltextPDF;
3.
Science Article 
Radio meteor echoes observation with SPADE / Mouhaou, Déborah ; Martínez Picar, Antonio ; Marqué, Christophe ; Gunessee, Akhil
published in Proceedings of the International Meteor Conference, Redu, 31 September – 3rd August, pp. 31--33 [SCART-2023-0164]
4.
Conf. Talk 
Radio meteor echoes observation with SPADE / Mouhaou, Déborah ; Martínez Picar, Antonio ; et al
Talk presented at International Meteor Conference, Redu on 2023-09-01 [CTALK-2023-0120]
5.
Science Article 
Narrow pass-band filtering technique for radio meteor automatic detection / Martínez Picar, Antonio
published in Proceedings of the International Meteor Conference 2022, pp. 104--107 (2023) [SCART-2023-0102]
6.
Conf. Talk 
Narrow pass-band filtering technique for radio meteor automatic detection / Martínez Picar, Antonio
Talk presented at International Meteor Conference 2022, Poroszló - Hungary on 2022-10-01 [CTALK-2023-0031]
7.
Dataset 
HSRS light curves / Marqué, Christophe ; Martinez Picar, Antonio ; et al [DATASET-2023-0012]
8.
 
HSRS light curves / Marqué, Christophe ; Martinez Picar, Antonio ; et al [DATASET-2021-0045]
9.
Dataset 
ARCAS spectra / Marqué, Christophe ; Martinez Picar, Antonio ; et al [DATASET-2021-0044]
10.
 
HSRS spectra / Marqué, Christophe ; Martinez Picar, Antonio ; et al [DATASET-2021-0043]

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