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Costas P. Providakis, Maria G. Mousteraki and Georgia C. Providaki
Without affecting the integrity or stability of the heritage monuments, vibration-based techniques provide useful solutions for acquiring global information about them. By studying the dynamic response to suitable excitation sources, it is feasible to de...
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Abbas Najmi, Caroline M. Gevaert, Divyani Kohli, Monika Kuffer and Jati Pratomo
Mapping slums is vital for monitoring the Sustainable Development Goal (SDG) indicators. In the absence of reliable data, Remote Sensing (RS)-based approaches, particularly the Deep Learning (DL) methods, have gained recognition and high accuracies for s...
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Carlotta Quagliolo, Peter Roebeling, Rita Mendonça, Alessandro Pezzoli and Elena Comino
Over the last decade, the potential of nature-based solutions (NBS) has been recognized to support climate change adaptation, by promoting sustainable urban planning. Nevertheless, a wider uptake of such solutions in urban areas faces different challenge...
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Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni and Agostino Poggi
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to support large-scale simulations but also to increase the simulation resolution. ...
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Ljerka Vrdoljak and Jelena Kilic Pamukovic
Satellite-derived bathymetry (SDB) based on multispectral satellite images (MSI) from the satellite?s optical sensors is a recent technique for surveying shallow waters. Sentinel-2 satellite mission with an open access policy and high spatial, radiometri...
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