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Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo...
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Petros Brimos, Areti Karamanou, Evangelos Kalampokis and Konstantinos Tarabanis
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown grea...
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Brianda Susana Velázquez-de-Lucio, Jorge Álvarez-Cervantes, María Guadalupe Serna-Díaz, Edna María Hernández-Domínguez and Joselito Medina-Marin
The incorporation of biodegraded substrates during the germination of horticultural crops has shown favorable responses in different crops; however, most of these studies evaluate their effect only in the first days of seedling life, and do not follow up...
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Maria Kamariotou and Fotis Kitsios
The aim of this paper is to examine and analyze how actors in an open data ecosystem collaborate, as well as their activities, to generate value. Thirteen interviews were conducted with actors in the open data network. The information gathered was used t...
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Karina Sinaí Medina Camarena, Thea Wübbelmann and Kristian Förster
Hydrological modeling is commonly used in urban areas for drainage design and to estimate pluvial flood hazards in order to mitigate flood risks and damages. In general, modelers choose well-known and proven models, which are tailored to represent the ru...
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Stephen A. Allegri, Kevin McCoy and Cassie S. Mitchell
Large networks are quintessential to bioinformatics, knowledge graphs, social network analysis, and graph-based learning. CompositeView is a Python-based open-source application that improves interactive complex network visualization and extraction of ac...
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Ernesto Portugal, Francisco Cruz, Angel Ayala and Bruno Fernandes
Currently, artificial intelligence is in an important period of growth. Due to the technology boom, it is now possible to solve problems that could not be resolved previously. For example, through goal-driven learning, it is possible that intelligent mac...
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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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Nadezhda N. Pokrovskaia, Olga N. Korableva, Lucio Cappelli and Denis A. Fedorov
Digital regulation implies the quantified measuring and the network infrastructure allowing managers to control the processes of value creation. Digital regulation needs to take into account tacit elements of the value creation process, including unconsc...
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Robert Jeansoulin
Providing long-term data about the evolution of railway networks in Europe may help us understand how European Union (EU) member states behave in the long-term, and how they can comply with present EU recommendations. This paper proposes a methodology fo...
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