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Daniele Martini, Martino Aimar, Fabio Borghetti, Michela Longo and Federica Foiadelli
In Italy, the availability of service areas (SAs) equipped with charging stations (CSs) for electric vehicles (EVs) on highways is limited in comparison to the total number of service areas. The scope of this work is to create a prototype and show a diff...
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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the e...
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Barbara Cardone, Valeria D?Ambrosio, Ferdinando Di Martino and Vittorio Miraglia
One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS-bas...
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Luciano Di Martino, Alessandra Biancolillo, Claudia Scappaticci, Martina Foschi and Angelo Antonio D?Archivio
Brassicaceae is a family of vegetables found all over the world that has been attracting the attention of researchers due to its rich chemical composition and potential health benefits (antioxidant and anti-inflammatory, as well as antimutagenic activity...
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Akhmad Adi Sulianto, Ilham Putra Adiyaksa, Yusuf Wibisono, Elena Khan, Aleksei Ivanov, Aleksandr Drannikov, Kadir Ozaltin and Antonio Di Martino
Here, we describe and assess a method for reusing specific food waste to make hydrogels, which can be employed to improve the efficacy of agrochemicals and water. It represents an approach for tackling current challenges, such as food waste, water manage...
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Pietro Battistoni, Andrea Antonio Cantone, Gerardo Martino, Valerio Passamano, Marco Romano, Monica Sebillo and Giuliana Vitiello
The increasing frequency and severity of forest fires necessitate early detection and rapid response to mitigate their impact. This project aims to design a cyber-physical system for early detection and rapid response to forest fires using advanced techn...
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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur...
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Thomas Di Martino, Bertrand Le Saux, Régis Guinvarc?h, Laetitia Thirion-Lefevre and Elise Colin
With an increase in the amount of natural disasters, the combined use of cloud-penetrating Synthetic Aperture Radar and deep learning becomes unavoidable for their monitoring. This article proposes a methodology for forest fire detection using unsupervis...
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Barbara Cardone and Ferdinando Di Martino
The bi-dimensional F1-Transform was applied in image analysis to improve the performances of the F-transform method; however, due to its high computational complexity, the multidimensional F1-transform cannot be used in data analysis problems, especially...
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Maria Rota, Martino Zito, Paolo Dubini and Roberto Nascimbene
Monitoring of non-structural elements is not usually implemented, despite the seismic vulnerability of these components and the significant cost associated with their replacement in case of damage. By exploiting the limited cost of commercial sensors, ac...
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