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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Nele Jurkenaite,Artiom Volkov
Pág. 42 - 56
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Gediminas Kulie?is,Lina Pareigiene
Pág. 384 - 393
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Irena Kri?ciukaitiene,Virginia Namiotko,Rolandas Kripaitis
Pág. 399 - 405
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Edmundas Jasinskas,Andrius Guzavicius,Kristina Barkauskiene
Pág. 844 - 852
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Konstantin Samoylenko
Pág. 959 - 965
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Ligita Melece,Agnese Krievina
Pág. 578 - 587
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Olga Popova, Jörg Jablinski, T. Lukashenko
Pág. 17 - 24
This article demonstrates the assumptions of economic theory and its followers, the theories which stimulate research on the positive correlation between the success of the economy, its growth and the level of international trade. The empirical analysis ...
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Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
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Angeliki Mentzafou, Yiannis Panagopoulos and Elias Dimitriou
Water quality indices that describe the status of water are commonly used in freshwater vulnerability assessment. The design of river water quality monitoring programs has always been a complex process and despite the numerous methodologies employed by e...
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