Search Results - "Napolitano, Ferdinando"

Imaging overpressurised fracture networks and geological barriers hindering fluid migrations across a slow-deformation seismic gap by Napolitano, Ferdinando, Gabrielli, Simona, De Siena, Luca, Amoroso, Ortensia, Capuano, Paolo

“…There is an ongoing debate on the processes producing background seismicity and deformation transients across seismic gaps, i.e., regions that lack historical…”
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Fast Changes in Seismic Attenuation of the Upper Crust due to Fracturing and Fluid Migration: The 2016–2017 Central Italy Seismic Sequence by Gabrielli, Simona, Akinci, Aybige, Ventura, Guido, Napolitano, Ferdinando, Del Pezzo, Edoardo, De Siena, Luca

“…The Amatrice–Visso–Norcia seismic sequence struck Central Italy across the Apenninic normal fault system in 2016. Fluids likely triggered the sequence and…”
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A didactic experience for educating the youngest generations about seismic risk using an escape room by Gargiulo, Maria Vittoria, Napolitano, Ferdinando, Amoroso, Ortensia, Russo, Raffaella, Capuano, Paolo

“…Effective risk communication is crucial for enhancing societal resilience. It’s not just about scientific strategies; it’s also about ensuring that communities…”
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CFM: a convolutional neural network for first-motion polarity classification of seismic records in volcanic and tectonic areas by Messuti, Giovanni, Scarpetta, Silvia, Amoroso, Ortensia, Napolitano, Ferdinando, Falanga, Mariarosaria, Capuano, Paolo

“…First-motion polarity determination is essential for deriving volcanic and tectonic earthquakes’ focal mechanisms, which provide crucial information about…”
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Crustal Structure of the Seismogenic Volume of the 2010–2014 Pollino (Italy) Seismic Sequence From 3D P- and S-Wave Tomographic Images by Napolitano, Ferdinando, Amoroso, Ortensia, La Rocca, Mario, Gervasi, Anna, Gabrielli, Simona, Capuano, Paolo

“…A tomographic analysis of Mt. Pollino area (Italy) has been performed using earthquakes recorded in the area during an intense seismic sequence that occurred…”
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3D seismic imaging of the Nesjavellir geothermal field, SW-Iceland by Amoroso, Ortensia, Napolitano, Ferdinando, Hersir, Gylfi Pall, Agustsdottir, Thorbjorg, Convertito, Vincenzo, De Matteis, Raffaella, Gunnarsdóttir, Sveinborg Hlíf, Hjörleifsdóttir, Vala, Capuano, Paolo

“…We present a detailed seismic imaging of the harnessed Nesjavellir geothermal area, SW-Iceland, which is one of several geothermal fields on the flanks of the…”
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A Multi-Criteria Approach to Achieve Constrained Cost-Optimal Energy Retrofits of Buildings by Mitigating Climate Change and Urban Overheating by Fabrizio Ascione, Nicola Bianco, Gerardo Maria Mauro, Davide Ferdinando Napolitano, Giuseppe Peter Vanoli

“…About 40% of global energy consumption is due to buildings. For this reason, many countries have established strict limits with regard to building energy…”
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New insights into seismic absorption imaging by Sketsiou, Panayiota, Napolitano, Ferdinando, Zenonos, Aristides, De Siena, Luca

“…In recent years, attenuation has been used as a marker for source and dynamic Earth processes due to its higher sensitivity to small variations of lithospheric…”
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Fault imaging at Mt Pollino (Italy) from relative location of microearthquakes by Napolitano, Ferdinando, Galluzzo, Danilo, Gervasi, Anna, Scarpa, Roberto, La Rocca, Mario

“…SUMMARY Relative location of microearthquakes that occurred at Mt Pollino (Italy) from 2011 to 2013 have been analyzed with the aim of a detailed imaging of…”
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Pore Fluid Pressure Imaging of the Mt. Pollino Region (Southern Italy) From Earthquake Focal Mechanisms by De Matteis, R., Convertito, V., Napolitano, F., Amoroso, O., Terakawa, T., Capuano, P.

“…Focal mechanisms of selected earthquakes, recorded in the Mount Pollino region (southern Italy) from 2010 through 2014, are used to infer the pore fluid…”
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A geophysical multidisciplinary approach to investigate the shallow subsoil structures in volcanic environment: The case of Ischia Island by Nardone, Lucia, Vassallo, Maurizio, Cultrera, Giovanna, Sapia, Vincenzo, Petrosino, Simona, Pischiutta, Marta, Di Vito, Mauro, de Vita, Sandro, Galluzzo, Danilo, Milana, Giuliano, Bellucci Sessa, Eliana, Bobbio, Antonella, Bordoni, Paola, Cara, Fabrizio, Carandente, Antonio, Civico, Riccardo, Cogliano, Rocco, Cusano, Paola, Di Giulio, Giuseppe, Esposito, Roberta, Famiani, Daniela, Fodarella, Antonio, Giannattasio, Fabio, Marchetti, Marco, Marotta, Enrica, Moretti, Milena, Napolitano, Ferdinando, Pucillo, Stefania, Riccio, Gaetano, Sepe, Vincenzo, Tarabusi, Gabriele, Tramelli, Anna

“…The ability to image the underground structures of volcanoes is limited by the precision, resolution and penetration depth of each single geophysical method…”
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Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones by Ascione, Fabrizio, Bianco, Nicola, Maria Mauro, Gerardo, Napolitano, Davide Ferdinando

“…The paper proposes a multi-objective optimization approach to address the energy design of the building envelope. A genetic algorithm (GA) is implemented by…”
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Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness by Ascione, Fabrizio, Bianco, Nicola, Mauro, Gerardo Maria, Napolitano, Davide Ferdinando

“…[Display omitted] •The energy retrofit of villas on Mediterranean coastlines is optimized.•A genetic algorithm is run to optimize building envelope and energy…”
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Knowledge and energy retrofitting of neighborhoods and districts. A comprehensive approach coupling geographical information systems, building simulations and optimization engines by Ascione, Fabrizio, Bianco, Nicola, Mauro, Gerardo Maria, Napolitano, Davide Ferdinando

“…[Display omitted] •Aim: energy modeling and retrofit optimization of districts/neighborhoods.•Energy consumption and global cost are minimized exploring sundry…”
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Effects of global warming on energy retrofit planning of neighborhoods under stochastic human behavior by Ascione, Fabrizio, Bianco, Nicola, Mauro, Gerardo Maria, Napolitano, Davide Ferdinando

“…[Display omitted] •A novel analysis approach for the energy retrofit planning of districts/neighborhoods is proposed.•The stochasticity of the occupant…”
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Comprehensive analysis to drive the energy retrofit of a neighborhood by optimizing the solar energy exploitation – An Italian case study by Ascione, Fabrizio, Bianco, Nicola, Mauro, Gerardo Maria, Napolitano, Davide Ferdinando, Vanoli, Giuseppe Peter

“…Buildings account for around one third of World energy consumption and polluting emissions, thus their energy retrofit is crucial aiming at reducing the human…”
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Weather-data-based control of space heating operation via multi-objective optimization: Application to Italian residential buildings by Ascione, Fabrizio, Bianco, Nicola, Mauro, Gerardo Maria, Napolitano, Davide Ferdinando, Vanoli, Giuseppe Peter

“…[Display omitted] •Multi-objective genetic algorithm is used for weather-data-based control.•Heating operation is optimized by minimizing running cost and…”
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Building heating demand vs climate: Deep insights to achieve a novel heating stress index and climatic stress curves by Ascione, Fabrizio, Bianco, Nicola, Mauro, Gerardo Maria, Napolitano, Davide Ferdinando, Vanoli, Giuseppe Peter

“…This study offers deep insights into the link between climatic stress and building heating performance. Two representative Italian residential buildings –…”
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A real industrial building: Modeling, calibration and Pareto optimization of energy retrofit by Ascione, Fabrizio, Bianco, Nicola, Iovane, Teresa, Mauro, Gerardo Maria, Napolitano, Davide Ferdinando, Ruggiano, Antonio, Viscido, Lucio

“…An existing industrial building ubicated in South Italy is investigated by applying a tailored approach to optimize energy retrofit. The baseline provides high…”
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Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces by Messuti, Giovanni, Amoroso, ortensia, Napolitano, Ferdinando, Falanga, Mariarosaria, Capuano, Paolo, Scarpetta, Silvia

“…Deep learning models have demonstrated remarkable success in various fields, including seismology. However, one major challenge in deep learning is the…”
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