222 citations
- University of PisaIT2 papers
- BeDimensional (Italy)IT1 paper
- Centre de Recherche en Neurosciences de LyonFR1 paper
- CIC nanoGUNEES1 paper
- Crystal Research (United States)US1 paper
- Fondazione RomaIT1 paper
- Institut de Systématique, Évolution, BiodiversitéFR1 paper
- Istituto Nazionale di StatisticaIT1 paper
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14 papers
De mora luminis: Roemer's discovery 350 years later
Fabio Falchi, Riccardo Furgoni, Paolo Gattillo +1
350 years from the 1676 announcement of the Roemer's discovery that light propagates with finite speed, we present our observations using eyes with telescopes having similar resolu…
Acoustic evaluation of a neural network dedicated to the detection of animal vocalisations
Jérémy Rouch, M Ducrettet, S Haupert +2
The accessibility of long-duration recorders, adapted to sometimes demanding field conditions, has enabled the deployment of extensive animal population monitoring campaigns throug…
Graphene-Based Electrodes in a Vanadium Redox Flow Battery Produced by Rapid Low-Pressure Combined Gas Plasma Treatments
Sebastiano Bellani, Leyla Najafi, Mirko Prato +13
The development of high-power density vanadium redox flow batteries (VRFBs) with high energy efficiencies (EEs) is crucial for the widespread dissemination of this energy storage t…
Ammonium adsorption, desorption and recovery by acid and alkaline treated zeolite
Sofia Maria Muscarella, Luigi Badalucco, Beatriz Cano +2
In this study, the suitability of zeolite as a possible medium for ammonium adsorption, desorption and recovery from wastewater was investigated. Specifically, batch adsorption and…
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi +4
The ability to accurately forecast power generation from renewable sources is nowadays recognised as a fundamental skill to improve the operation of power systems. Despite the gene…
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach
Alessandro Betti, Maria Luisa Lo Trovato, Fabio Salvatore Leonardi +3
This paper presents a novel and flexible solution for fault prediction based on data collected from SCADA system. Fault prediction is offered at two different levels based on a dat…