Now showing items 1-12 of 168

    • Method for forecasting ionospheric electron content fluctuations based on the optical flow algorithm 

      Monte Moreno, Enrique; Hernández Pajares, Manuel; Yang, Heng; García Rigo, Alberto; Jin, Yaqi; Høeg, Per; Miloch, Wojciech J.; Wielgosz, Pawel; Jarmolowski, Wojciech; Paziewski, Jacek; Milanowska, Beata; Hoque, Mainul; Orús Pérez, Raul (2022-01-01)
      Article
      Open Access
      We present the optical flow algorithm for forecasting the rate of total electron content index (OFROTI). It consists of a method for predicting maps of rapid fluctuations of ionospheric electron content in terms of global ...
    • Forecast of the global TEC by nearest neighbour technique 

      Monte Moreno, Enrique; Yang, Heng; Hernández Pajares, Manuel (Multidisciplinary Digital Publishing Institute (MDPI), 2022-03-11)
      Article
      Open Access
      We propose a method for Global Ionospheric Maps of Total Electron Content forecasting using the Nearest Neighbour method. The assumption is that in a database of global ionosphere maps spanning more than two solar cycles, ...
    • Ionospheric storm scale index based on high time resolution UPC-IonSAT global ionospheric maps (IsUG) 

      Liu, Qi; Hernández Pajares, Manuel; Lyu, Haixia; Nishioka, Michi; Yang, Heng; Monte Moreno, Enrique; Gulyaeva, Tamara L.; Beniguel, Yannick; Wilken, Volker; Olivares Pulido, Germán; Orús Pérez, Raul (2021-11)
      Article
      Open Access
      The ionospheric storms have adverse effects on the radio communications, satellite communications and also the Global Navigation Satellite Systems (GNSS) application. A new Ionospheric storm Scale from Universitat Politècnica ...
    • The cooperative IGS RT-GIMs: a reliable estimation of the global ionospheric electron content distribution in real time 

      Liu, Qi; Hernández Pajares, Manuel; Yang, Heng; Monte Moreno, Enrique; Roma Dollase, David; García Rigo, Alberto; Li, Zishen; Wang, Ningbo; Laurichesse, Denis; Zhao, Q.; Wübbena, Gerhard; Krankowski, Andrzej; Ghoddousi Fard, Reza; Blot, Alexis; Zhang, Qiang (2021-09-23)
      Article
      Open Access
      The Real-Time Working Group (RTWG) of the International GNSS Service (IGS) is dedicated to providing high-quality data and high-accuracy products for Global Navigation Satellite System (GNSS) positioning, navigation, ...
    • A New way of estimating the spatial and temporal components of the vertical total electron content gradient based on UPC-IonSAT global ionosphere maps 

      Liu, Qi; Hernández Pajares, Manuel; Yang, Heng; Monte Moreno, Enrique; García Rigo, Alberto; Lyu, Haixia; Olivares Pulido, Germán; Orús Pérez, Raul (2022-02)
      Article
      Open Access
      The determination of the ionospheric perturbation degree is essential to describe the ionosphere state for space weather monitoring. A new method for estimating the spatial and temporal components of the Vertical Total ...
    • Combining Swarm Langmuir probe observations, LEO-POD-based and ground-based GNSS receivers and ionosondes for prompt detection of ionospheric earthquake and tsunami signatures: Case study of 2015 Chile-Illapel event 

      Jarmolowski, Wojciech; Belehaki, Anna; Hernández Pajares, Manuel; Schmidt, Michael; Goss, Andreas; Wielgosz, Pawel; Yang, Heng; Krypiak-Gregorczyk, Anna; Tsagouri, Ioanna; Paouris, Evangelos; Monte Moreno, Enrique; García Rigo, Alberto; Milanowska, Beata; Erdogan, Eren; Graffigna, Victoria; Haagmans, Roger (2021-12-08)
      Article
      Open Access
      The study investigates ionospheric electric field responses to the earthquake (EQ) of magnitude 8.3, and the related seismic activity and tsunami triggered by the mainshock in Chile-Illapel region, at 22:54 UTC, in the ...
    • Statistical and computational techniques for extraction of underlying systematic risk factors: A comparative study in the Mexican stock exchange 

      Ladrón de Guevara Cortés, Rogelio; Torra Porras, Salvador; Monte Moreno, Enrique (2021-07)
      Article
      Open Access
      This paper compares the dimension reduction or feature extraction techniques, e.g., Principal Component Analysis, Factor Analysis, Independent Component Analysis, and Neural Networks Principal Component Analysis, which are ...
    • AI reflections in 2020 

      Jobin, Anna; Man, Kingson; Damasio, Antonio; Kaissis, Georgios; Braren, Rickmer; Stoyanovich, Julia; Van Bavel, Jay J.; West, Tessa V.; Mittelstadt, Brendt; Eshraghian, Jason; Ruiz Costa-Jussà, Marta; Tzachor, Asaf; Jamjoom, Aimun A. B.; Taddeo, Mariarosaria; Sinibaldi, Edoardo; Hu, Yipeng; Luengo Oroz, Miguel (Springer Nature, 2021-01-19)
      Article
      Restricted access - publisher's policy
      We invited authors of selected Comments and Perspectives published in Nature Machine Intelligence in the latter half of 2019 and first half of 2020 to describe how their topic has developed, what their thoughts are about ...
    • Semantic and syntactic information for neural machine translation: Injecting features to the transformer 

      Armengol Estapé, Jordi; Ruiz Costa-Jussà, Marta (2021-05-18)
      Article
      Open Access
      Introducing factors such as linguistic features has long been proposed in machine translation to improve the quality of translations. More recently, factored machine translation has proven to still be useful in the case ...
    • Real-time interpolation of global ionospheric maps by means of sparse representation 

      Yang, Heng; Monte Moreno, Enrique; Hernández Pajares, Manuel; Roma Dollase, David (2021-06-12)
      Article
      Restricted access - publisher's policy
      In this paper, we propose a method for the generation of real-time global ionospheric map (RT-GIM) of vertical total electron content (VTEC) from GNSS measurements. The need for interpolation arises from the fact that the ...
    • Multilingual natural language processing: Towards universal translation 

      Ruiz Costa-Jussà, Marta (Springer Nature, 2021-05)
      Article
      Open Access
      State of the art neural network approaches enable massive multilingual translation. How close are we to universal translation in any language?
    • An analysis of gender bias studies in natural language processing 

      Ruiz Costa-Jussà, Marta (Springer Science and Business Media LLC, 2019-10-14)
      Article
      Open Access
      Artificial intelligence systems copy and amplify existing societal biases, a problem that by now is widely acknowledged and studied. But is current research of gender bias in natural language processing actually moving ...