Sfoglia per Titolo
The M3A multi-sensor buoy network of the Mediterranean Sea
2006-01-01 Nittis, K.; Tziavos, C.; Bozzano, R.; Cardin, V.; Thanos, Y.; Petihakis, G.; Schiano, M. E.; Zanon, F.
The M3A Network of Open Ocean Observatories in the Mediterranean Sea
2013-01-01 Bozzano, R.; Pensieri, S.; Pensieri, L.; Cardin, V.; Brunetti, F.; Bensi, M.; Petihakis, G.; Tsagaraki, T. M.; Ntoumas, M.; Podaras, D.; Perivoliotis, L.
The M8 Jan. 15th, 1934 Bihar earthquake: intensity inversion, source update with instrumental data
2012-01-01 Pettenati, F; Sirovich, L; Picotti, S
A machine learning approach for strong aftershock forecasting by the NESTORE algorithm. Comparison of California, Italy and Greece results
2023-01-01 Gentili, S.; Brondi, P.; and Di Giovambattista R. Anyfadi E., -A; Vallianatos, F.
A machine learning approach to facies classification using well logs
2017-01-01 Bestagini, P.; Lipari, V.; Tubaro, S.
Machine Learning for Automated Seabed Mapping
2024-01-01 Di Laudo, U.; Ceramicola, S.; Manzoni, L.
Machine Learning for Forecasting Strong Aftershocks in California: the NESTOREv1.0 Application.
2023-01-01 Gentili, S.; Brondi, P.; Di Giovambattista, R.
Machine Learning for Volcanology and Volcano Monitoring
2025-01-01 Carniel, R.; Guzman, S. R.
Machine Learning Forecasting of Strong Subsequent Events in New Zealand Using the NESTORE Algorithm
2026-01-01 Caravella, L.; Gentili, S.
Machine Learning methods for the Atmosphere, the Ocean, and the Seabed
2023-01-01 Blasone, V.; Di Laudo, U.; Pietropolli, G.; Bortolussi, L.; Ceramicola, S.; Cossarini, G.; Manzoni, L.
Machine learning predictions of trophic status indicators and plankton dynamic in coastal lagoons
2018-01-01 Bejaoui, B.; Ottaviani, E.; Barelli, E.; Ziadi, B.; Dhib, A.; Lavoie, M.; Gianluca, C.; Turki, S.; Solidoro, C.; Aleya, L.
Machine learning versus manual earthquake location workflow: testing LOC-FLOW on an unusually productive microseismic sequence in northeastern Italy
2023-01-01 Sugan, M.; Peruzza, L.; Romano, M. A.; Guidarelli, M.; Moratto, L.; Sandron, D.; Plasencia Linares, M. P.; Romanelli, M.
The machine learning-based algorithm NESTORE for strong aftershocks forecasting in seismic clusters becomes a free available software: application to Italy
2022-01-01 Gentili, S.; Brondi, P.; Di Giovambattista, R.
Machine learning-driven flood susceptibility mapping: comparing model performances and feature influences in a coastal watershed of the Eastern mediterranean
2025-01-01 Abdo, H. G.; Richi, S. M.; Bindajam, A. A.; Zerouali, B.; Katipoglu, O. M.; Prasad, P.; Alharbi, M. M.; Ramadan, M. S.; Mallick, J.; Ghribi, M.
Machine-Learning Forecasting of Strong Aftershocks in New Zealand Using NESTORE: Insights from Two Testing Approaches
2026-01-01 Caravella, Letizia; Gentili, Stefania
Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects
2023-01-01 Vo Thanh, H.; Sheini Dashtgoli, D.; Zhang, H.; Min, B.
Macroalgal assemblage type affects predation pressure on sea urchins by altering adhesion strength
2010-01-01 Gianguzza, P.; Bonaviri, C.; Milisenda, G.; Barcellona, A.; Agnetta, D.; Vega Fernandez, T.; Badalamenti, F.
Macrobenthic biodiversity and functional patterns in three Adriatic marinas.
2025-01-01 Sandri, Lisa; Nasi, Federica; Davanzo, Alessandra; Auriemma, Rocco; Canu, Donata; Cibic, Tamara
Macrofaunal bioturbation attributes in relation to riverine influence: What can we learn from the Po River lagoonal system (Adriatic Sea)?
2020-01-01 Nasi, F.; Ferrante, L.; Alvisi, F.; Bonsdorff, E.; Auriemma, R.; Cibic, T.
Macroseismic attenuation relationships of Italian earthquakes for seismic hazard assessment purposes
2000-01-01 Peruzza, L.
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