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Elias Dimitriou, Andreas Efstratiadis, Ioanna Zotou, Anastasios Papadopoulos, Theano Iliopoulou, Georgia-Konstantina Sakki, Katerina Mazi, Evangelos Rozos, Antonios Koukouvinos, Antonis D. Koussis, Nikos Mamassis and Demetris Koutsoyiannis
Storm Daniel initiated on 3 September 2023, over the Northeastern Aegean Sea, causing extreme rainfall levels for the following four days, reaching an average of about 360 mm over the Peneus basin, in Thessaly, Central Greece. This event led to extensive...
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Jan Kolínský, Tomá? Prá?il, Ladislav Socha, Jana Svi?elová, Karel Gryc, Josef Häusler and Martin Dvorák
The present paper describes a comparison of the efficiency of different types of rotors used in the refining of aluminium melt at a foundry degassing unit (FDU). Physical modelling was used to obtain data for six different rotor types under defined exper...
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Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi...
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Adelia Darlene Drego, Daniel Andersson and Ingo Staack
Surveillance aircraft perform long-duration missions (>eight hours) that include detection and identification of objects on the ground, the water, or in the air. They have surveillance systems that require large amounts of cooling power (typically 10 s o...
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Heba El-Bagoury and Ahmed Gad
Flooding is a natural disaster with extensive impacts. Desert regions face altered flooding patterns owing to climate change, water scarcity, regulations, and rising water demands. This study assessed and predicted flash flood hazards by calculating disc...
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