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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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Róbert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabó and András Hajdu
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains. This...
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Katalin Acs, Monika Varga, Andras Szekeres, Andras Salgo, Csaba Lantos, Ferenc Bekes, Janos Pauk and Akos Mesterhazy
Changes of water-soluble carbohydrate (WSC) content such as fructose, glucose, sucrose, maltose, nystose, raffinose, stachyose and fructan were analyzed in wheat kernels in Fusarium epidemic and non-epidemic seasons. In both season types, eight commercia...
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András Tamás, Elza Kovács, Éva Horváth, Csaba Juhász, László Radócz, Tamás Rátonyi and Péter Ragán
Remote sensing is an efficient tool to detect vegetation heterogeneity and dynamics of crop development in real-time. In this study, the performance of three maize hybrids (Fornad FAO-420, Merida FAO-380, and Corasano FAO-490-510) was monitored as a func...
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András Gáspárdy, Zsombor Wagenhoffer, Dóra Fürlinger, Maja Halmágyi, Imre Bodó, Hovirag Lancioni and Ákos Maróti-Agóts
The Szekler horse was a small-sized mountain horse of the Carpathian Mountains whose official stud book ceased to exist after WWII. Despite that, individual horses preserving all the characteristics of the Szekler horse remained scattered in remote areas...
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István Waltner, Attila Ribács, Borbála Gémes and András Székács
Our study aims to provide a look at how the production of dairy cattle is affecting water resources in Hungary. Utilizing the AquaCrop model and field data from a selected field in Hungary, we focused on the evapotranspiration (ET) and water footprint (W...
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András Bóta and Lauren Gardner
Modeling the spread of infections in networks is a well-studied and important field of research. Most infection and diffusion models require a real value or probability at the edges of the network as an input, but this is rarely available in real-life ap...
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András Wippelhauser, Tamás Attila Tomaschek, Máté Verdes and László Bokor
The primary objective of introducing the proposed tools and methodology is to enable the accurate and comprehensive simulation of ITS-G5 radio channel load, thereby advancing the field of C-ITS network design and deployment. By leveraging these resources...
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Anna Altmanninger, Verena Brandmaier, Bernhard Spangl, Edith Gruber, Eszter Takács, Mária Mörtl, Szandra Klátyik, András Székács and Johann G. Zaller
Glyphosate is the most widely used active ingredient (AI) in glyphosate-based herbicides (GBHs) worldwide and is also known to affect a variety of soil organisms. However, we know little about how the effects of glyphosate AIs differ from those of GBHs t...
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Sayako Kodera, Leander Schmidt, Florian Römer, Klaus Schricker, Saichand Gourishetti, David Böttger, Tanja Krüger, András Kátai, Benjamin Straß, Bernd Wolter and Jean Pierre Bergmann
With the increasing power and speed of laser welding, in-process monitoring has become even more crucial to ensure process stability and weld quality. Due to its low cost and installation flexibility, acoustic process monitoring is a promising method and...
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