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Mariella De Fino

Researcher at Polytechnic University of Bari

Publications -  23
Citations -  295

Mariella De Fino is an academic researcher from Polytechnic University of Bari. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 6, co-authored 18 publications receiving 185 citations. Previous affiliations of Mariella De Fino include University of Bari & Instituto Politécnico Nacional.

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Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management

TL;DR: A new methodology toward Diagnosis-Aided Historic Building Information Modelling and Management (DA-HBIMM) is proposed as a framework to be developed in order to address smart knowledge acquisition, collection and notification of assessed performances and eventual risks, by cognitive automation and artificial intelligence, in the near future.
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Resilience of Historic Built Environments: Inherent Qualities and Potential Strategies☆

TL;DR: In this paper, a multi-scale approach, from the urban to the building level, and a multidisciplinary vision, including environmental, economic, social and cultural aspects, is pursued.
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Methodological framework for assessment of energy behavior of historic towns in Mediterranean climate

TL;DR: In this article, a methodological framework for performance assessment and control of historic buildings and districts in coastal and sub-coastal towns of South Italy, as specific geocluster of Mediterranean traditional architectures, is proposed.
Proceedings ArticleDOI

Dynamic identification and evaluation of the seismic safety of a masonry bell tower in the south of italy

TL;DR: In this article, structural monitoring and seismic assessment of a unique masonry tower in a Apulia region in southern Italy: the bell tower of “Santa Maria di San Luca” in the city of Valenzano was monitored by means of full-scale environmental vibration testing.
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Remote diagnosis and control of the heritage Architecture by photorealistic digital environments and models

TL;DR: A methodological workflow is discussed, focused on the role of photoscanning-based immersive environments and three-dimensional models as tools for sharing, interpreting and elaborating diagnostic data for the assessment and control of the state of conservation of the architectural heritage.