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Michal Dominik Stasiak
Pág. 39 - 45
An exchange rate between two currencies can be described in a binary representation. The binarization algorithm transforms the exchange rate represented by tick data into a binary string. Each course change equal to a given discretization unit is assigne...
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Algirdas Giedraitis
Pág. 275 - 287
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Pablo Jeremías Juan Gutiérrez
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Matteo Gentilucci, Maurizio Barbieri, Han Soo Lee and Dino Zardi
Extreme precipitation trends and events are fundamental for the definition of the region?s climate and allow the subsequent analysis of the risk for the territory and the possible countermeasures. This study takes into account the Marche Region (Central ...
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Andrea Momblanch, Ian P. Holman and Sanjay K. Jain
Global change is expected to have a strong impact in the Himalayan region. The climatic and orographic conditions result in unique modelling challenges and requirements. This paper critically appraises recent hydrological modelling applications in Himala...
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Ismael Orozco, Félix Francés and Jesús Mora
The success of hydrological modeling of a high mountain basin depends in most case on the accurate quantification of the snowmelt. However, mathematically modeling snowmelt is not a simple task due to, on one hand, the high number of variables that can b...
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Vincenzo Manca
A symbolic analysis of Archimedes?s periodical number system is developed, from which a natural link emerges with the modern positional number systems with zero. After the publication of Fibonacci?s Liber Abaci, the decimal Indo-Arabic positional system ...
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Sanaz Gheibi, Tania Banerjee, Sanjay Ranka and Sartaj Sahni
This paper proposes a new time-respecting graph (TRG) representation for contact sequence temporal graphs. Our representation is more memory-efficient than previously proposed representations and has run-time advantages over the ordered sequence of edges...
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Jie Ren, Changmiao Li, Yaohui An, Weichuan Zhang and Changming Sun
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples. Through feature representa...
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András Hubai, Sándor Szabó and Bogdán Zaválnij
The principal component analysis is a well-known and widely used technique to determine the essential dimension of a data set. Broadly speaking, it aims to find a low-dimensional linear manifold that retains a large part of the information contained in t...
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