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Konstantinos Filippou, George Aifantis, George A. Papakostas and George E. Tsekouras
In this paper, we built an automated machine learning (AutoML) pipeline for structure-based learning and hyperparameter optimization purposes. The pipeline consists of three main automated stages. The first carries out the collection and preprocessing of...
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Giandomenico Foti, Giuseppe Barbaro, Giuseppina Chiara Barillà and Pierluigi Mancuso
An important process that began in many Mediterranean countries in the last century, after the end of the Second World War, concerns the displacement of a large part of the population from inland to coastal areas, expanding many existing cities and build...
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Janis Dalbins, Kristo Allaje, Hendrik Ehrpais, Iaroslav Iakubivskyi, Erik Ilbis, Pekka Janhunen, Joosep Kivastik, Maido Merisalu, Mart Noorma, Mihkel Pajusalu, Indrek Sünter, Antti Tamm, Hans Teras, Petri Toivanen, Boris Segret and Andris Slavinskis
Nanosatellites have established their importance in low-Earth orbit (LEO), and it is common for student teams to build them for educational and technology demonstration purposes. The next challenge is the technology maturity for deep-space missions. The ...
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Mahmoud Abdel-Sattar, Rashid S. Al-Obeed, Saad A. Al-Hamed and Abdulwahed M. Aboukarima
The evaluation and modeling of the water infiltration rate into the soil are important to all aspects of water resources management and the design of irrigation systems for agricultural purposes. However, research focused on experimental studies of infil...
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Francesco Barchi, Emanuele Parisi, Andrea Bartolini and Andrea Acquaviva
To cope with the increasing complexity of digital systems programming, deep learning techniques have recently been proposed to enhance software deployment by analysing source code for different purposes, ranging from performance and energy improvement to...
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