Pantaleone De Vita
Datos Biográficos
| ID | 4327730 |
|---|---|
| NOMBRE | Pantaleone De Vita |
| NOMBRES | Pantaleone |
| APELLIDO | De Vita |
| FIRMA | DE VITA P |
| AFILIACIONES | Dipartimento di Scienze della Terra dell'Ambiente e delle Risorse Università Federico II Napoli Italy |
| VERIFICADO | No |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAS | 18 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Integrated analysis for a resilient urban planning using ensemble modeling and machine learning algorithms
Geohazards represent a severe danger to human life and the entire socio-economic fabric all over the world and have gained a pivotal role in urban planning and infrastructure modernization. Using machine learning algorithms and ensemble modeling techniques, geohazards can be modeled and studied with accurate results. While this approach allows the characterization of geohazard impact on urban areas, the study of multirisk and the influence that g…
Hydrogeology of the lower sector of Basento and Cavone river basins (southern Italy)
Hydrogeology of the lower sector of the Basento and Cavone river basins (southern Italy), has been little studied so far, although this area plays a strategic role being an agricultural area, for the production of wheat and organic olive oil, and represents a historical economic pole, with the presence of an industrial area and several extraction sites of natural gas. In this paper, starting from official Italian geological maps, a hydrogeologica…
Multiproxy approach to urban geology of the historical center of Naples, Italy
Knowledge-based model for geomaterials in the Ancient Centre of Naples (Italy)
Raw Materials for Archaeological Pottery from the Campania Region of Italy
We performed petrophysical analyses on 34 clayey samples of different geological origin within the Campania region of Italy in order to determine possible sources of raw materials used to produce ancient pottery. Possible raw material sources can be grouped into high‐CaO clays (HCC) and low‐CaO clays (LCC). HCC are mainly represented by more recent (Miocene‐Pleistocene) basinal sediments whereas LCC tend to be associated with basinal, alluvial, a…
Raw Materials for Archaeological Pottery from the Campania Region of Italy
We performed petrophysical analyses on 34 clayey samples of different geological origin within the Campania region of Italy in order to determine possible sources of raw materials used to produce ancient pottery. Possible raw material sources can be grouped into high‐CaO clays (HCC) and low‐CaO clays (LCC). HCC are mainly represented by more recent (Miocene‐Pleistocene) basinal sediments whereas LCC tend to be associated with basinal, alluvial, a…
Raw Materials for Archaeological Pottery from the Campania Region of Italy
We performed petrophysical analyses on 34 clayey samples of different geological origin within the Campania region of Italy in order to determine possible sources of raw materials used to produce ancient pottery. Possible raw material sources can be grouped into high‐CaO clays (HCC) and low‐CaO clays (LCC). HCC are mainly represented by more recent (Miocene‐Pleistocene) basinal sediments whereas LCC tend to be associated with basinal, alluvial, a…
Knowledge-based model for geomaterials in the Ancient Centre of Naples (Italy)
Multiproxy approach to urban geology of the historical center of Naples, Italy
Hydrogeology of the lower sector of Basento and Cavone river basins (southern Italy)
Hydrogeology of the lower sector of the Basento and Cavone river basins (southern Italy), has been little studied so far, although this area plays a strategic role being an agricultural area, for the production of wheat and organic olive oil, and represents a historical economic pole, with the presence of an industrial area and several extraction sites of natural gas. In this paper, starting from official Italian geological maps, a hydrogeologica…
Integrated analysis for a resilient urban planning using ensemble modeling and machine learning algorithms
Geohazards represent a severe danger to human life and the entire socio-economic fabric all over the world and have gained a pivotal role in urban planning and infrastructure modernization. Using machine learning algorithms and ensemble modeling techniques, geohazards can be modeled and studied with accurate results. While this approach allows the characterization of geohazard impact on urban areas, the study of multirisk and the influence that g…
Geography (3 obras) · Geology (3 obras) · 3D Surveying and Cultural Heritage (2 obras) · Archaeology (2 obras) · Geomorphology (2 obras) · Geotechnical engineering (2 obras) · Maritime and Coastal Archaeology (2 obras) · Paleontology (2 obras) · Aquifer (1 obras) · Archaeological Research and Protection (1 obras)