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David Goz, Georgios Ieronymakis, Vassilis Papaefstathiou, Nikolaos Dimou, Sara Bertocco, Francesco Simula, Antonio Ragagnin, Luca Tornatore, Igor Coretti and Giuliano Taffoni
New challenges in Astronomy and Astrophysics (AA) are urging the need for many exceptionally computationally intensive simulations. ?Exascale? (and beyond) computational facilities are mandatory to address the size of theoretical problems and data coming...
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Mikel Labayen, Laura Medina, Fernando Eizaguirre, José Flich and Naiara Aginako
The automation of railroad operations is a rapidly growing industry. In 2023, a new European standard for the automated Grade of Automation (GoA) 2 over European Train Control System (ETCS) driving is anticipated. Meanwhile, railway stakeholders are alre...
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Imed Ben Dhaou
The rising concerns about global warming have motivated the international community to take remedial actions to lower greenhouse gas emissions. The transportation sector is believed to be one of the largest air polluters. The quantity of greenhouse gas e...
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Michal Machura, Michal Danilowicz and Tomasz Kryjak
Object detection is an essential component of many systems used, for example, in advanced driver assistance systems (ADAS) or advanced video surveillance systems (AVSS). Currently, the highest detection accuracy is achieved by solutions using deep convol...
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Alice Proietti, Nicola Gallo, Denise Bellisario, Fabrizio Quadrini and Loredana Santo
Hybrid composite laminates are manufactured by using technologies and raw materials of the aeronautic sector with the aim to improve the damping behavior of composite structures. Matrix hybridization was achieved by laminating carbon fiber reinforced (CF...
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Muhammed Zahid Karakusak, Hasan Kivrak, Hasan Fehmi Ates and Mehmet Kemal Ozdemir
Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop deep learning-based approache...
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