Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Filippo Garolla"'
Autor:
Marco Fisichella, Filippo Garolla
Publikováno v:
IEEE Access, Vol 9, Pp 153083-153101 (2021)
The foreign exchange market (Forex) is the world’s largest market for trading foreign money, with a trading volume of over 5.1 trillion dollars per day. It is known to be very complicated and volatile. Technical analysis is the observation of past
Externí odkaz:
https://doaj.org/article/cbafacd910494019aa26dd4a237d49a9
Autor:
Filippo Garolla, Marco Fisichella
Publikováno v:
IEEE Access, Vol 9, Pp 153083-153101 (2021)
The foreign exchange market (Forex) is the world’s largest market for trading foreign money, with a trading volume of over 5.1 trillion dollars per day. It is known to be very complicated and volatile. Technical analysis is the observation of past
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55b7f315002eee6931c5cd7e48271243
https://ieeexplore.ieee.org/document/9612217/
https://ieeexplore.ieee.org/document/9612217/
Publikováno v:
Transportation Research Procedia. 37:330-337
This study proposes a model for predicting traffic flow and an algorithm to optimize lane allocation in front of an Austrian toll plaza. The traffic prediction model uses local traffic data from the motorway and is based on time series analysis. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::245d0a62bfab5a75dbb97b13b3ca9f76
https://doi.org/10.1016/j.trpro.2018.12.200
https://doi.org/10.1016/j.trpro.2018.12.200
Autor:
Gerhard Paar, Rebecca Nowak, Christoph Traxler, Christian Koeberl, Andreas Bechtold, Filippo Garolla
Publikováno v:
Geological Society of America Abstracts with Programs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c65e8c858d2e93a4835a059a26dc142
https://doi.org/10.1130/abs/2021am-369292
https://doi.org/10.1130/abs/2021am-369292
Autor:
Christian Koeberl, Miguel Yuste Fernandez Alonso, Andreas Bechtold, Christoph Traxler, Rebecca Nowak, Filippo Garolla, Gerhard Paar, Oliver Sidla
Scope Planetary robotic missions contain vision instruments for various mission-related and science tasks such as 2D and 3D mapping, geologic characterization, atmospheric investigations, or spectroscopy for exobiology. One major application for comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fab936bc0a05fef0e69142dbd6a083f
https://doi.org/10.5194/epsc2020-189
https://doi.org/10.5194/epsc2020-189
Autor:
Filippo Garolla, Christoph Traxler, Christian Koeberl, Laura Fritz, Andreas Bechtold, Oliver Sidla, Gerhard Paar, Rebecca Nowak
1 Introduction & Scope The remarkable success of deep learning (DL) for object and pattern recognition suggests its application to autonomic target selection of future Martian rover missions, to support planetary scientists and also exploring robots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8444c9fb744f7990de4325854fa0ada8
https://doi.org/10.5194/epsc2020-566
https://doi.org/10.5194/epsc2020-566
Autor:
Andreas Bechtold, Gerhard Paar, Christian Koeberl, Rebecca Nowak, Christoph Traxler, Filippo Garolla
Publikováno v:
Geological Society of America Abstracts with Programs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4266f55645c4ea9fd9d973581c929822
https://doi.org/10.1130/abs/2020am-354563
https://doi.org/10.1130/abs/2020am-354563