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Language modelling for speaker diarization in telephonic interviews
(Elsevier, 2023-03)
Article
Open AccessThe aim of this paper is to investigate the benefit of combining both language and acoustic modelling for speaker diarization. Although conventional systems only use acoustic features, in some scenarios linguistic data ... -
A genetic programming approach for economic forecasting with survey expectations
(Multidisciplinary Digital Publishing Institute, 2022-06-30)
Article
Open AccessWe apply a soft computing method to generate country-specific economic sentiment indicators that provide estimates of year-on-year GDP growth rates for 19 European economies. First, genetic programming is used to evolve ... -
Systematic detection of anomalous ionospheric perturbations above LEOs from GNSS POD Data including possible tsunami signatures
(Institute of Electrical and Electronics Engineers (IEEE), 2022-06-13)
Article
Open AccessIn this article, we show the capability of a global navigation satellite system (GNSS) precise orbit determination (POD) low Earth orbit (LEO) data to detect anomalous ionospheric disturbances in the spectral range of the ... -
Multilingual machine translation: Deep analysis of language-specific encoder-decoders
(2022-04-25)
Article
Open AccessState-of-the-art multilingual machine translation relies on a shared encoder-decoder. In this paper, we propose an alternative approach based on language-specific encoder-decoders, which can be easily extended to new ... -
Method for forecasting ionospheric electron content fluctuations based on the optical flow algorithm
(2022-01-01)
Article
Open AccessWe 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
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-03-11)
Article
Open AccessWe 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)
(2021-11)
Article
Open AccessThe 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
(2021-09-23)
Article
Open AccessThe 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
(2022-02)
Article
Open AccessThe 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
(2021-12-08)
Article
Open AccessThe 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
(2021-07)
Article
Open AccessThis 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
(Springer Nature, 2021-01-19)
Article
Open AccessWe 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 ...
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