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Tamás Kegyes, Alex Kummer, Zoltán Süle and János Abonyi
We analyzed a special class of graph traversal problems, where the distances are stochastic, and the agent is restricted to take a limited range in one go. We showed that both constrained shortest Hamiltonian pathfinding problems and disassembly line bal...
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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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Andrea Balla Kovács, Evelin Kármen Juhász, Áron Béni, Ida Kincses, Magdolna Tállai, Zsolt Sándor, János Kátai, Tamás Rátonyi and Rita Kremper
The effects of intensive and reduced tillage, fertilization, and irrigation on soil chemical and microbiological parameters were studied in a long-term field experiment in Hungary. The treatments were plowing tillage, ripper tillage, strip tillage; contr...
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János Hollósi, Áron Ballagi and Claudiu Radu Pozna
Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data, su...
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Péter Dobra and János Jósvai
Nowadays, one of the important and indispensable conditions for the effectiveness and competitiveness of industrial companies is the high efficiency of manufacturing and assembly. These enterprises based on different methods and tools systematically moni...
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Waleed Sulaiman Mustafa, János Szendefy and Balázs Nagy
The use of glass waste in the construction industry has a high potential of leading to a higher recycling percentage. Foam glass aggregate (FGA) is around 98% recycled glass waste of various origins and has good insulation properties with big grain size ...
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Ghulam Kibriya, Ákos Orosz, János Botzheim and Katalin Bagi
This study focuses on an old but still unresolved problem of automatically calibrating the constitutive parameters of discrete element models. Instead of the troublesome and time-consuming manual trial-and-error method, which is typical today, the author...
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Gergely Márk Csányi, Renátó Vági, Andrea Megyeri, Anna Fülöp , Dániel Nagy, János Pál Vadász and István Üveges
Few-shot learning is a deep learning subfield that is the focus of research nowadays. This paper addresses the research question of whether a triplet-trained Siamese network, initially designed for multi-class classification, can effectively handle multi...
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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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Adrián Csordás, János Pancsira, Péter Lengyel, István Füzesi and János Felföldi
The traditional global food supply chains are not just complex, but they do not support the sustainability of agriculture. The business models with the greatest growth potential are those that would allow consumers to buy more directly from producers. Be...
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