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Roberto Greco  - - - 
Top co-authors See all
Eugenio Martuscelli

167 shared publications

Department of Systems Medicine; University of Rome ‘Tor Vergata’; Rome Italy

Francesco Dondi

166 shared publications

Department of Veterinary Medical Sciences; Alma Mater Studiorum, University of Bologna, Via Tolara di Sopra 50; Ozzano dell'Emilia, Bologna Italy

Luigi Zeni

158 shared publications

DIII Università della Campania “L. Vanvitelli”, via Roma n.29, 81031 Aversa (CE), IT

Olga Bortolini

142 shared publications

Dipartimento di Scienze Chimiche e Farmaceutiche, Università di Ferrara, Via L. Borsari, 46, I-44121 Ferrara, Italy

Marinka Bakker

137 shared publications

Faculty of Civil Engineering and Geosciences, TU Delft, Delft, The Netherlands

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Publication Record
Distribution of Articles published per year 
(1974 - 2018)
Total number of journals
published in
 
53
 
Publications See all
Article 0 Reads 1 Citation Non-invasive estimation of moisture content in tuff bricks by GPR Rosa Agliata, Thom A. Bogaard, Roberto Greco, Luigi Mollo, E... Published: 01 January 2018
Construction and Building Materials, doi: 10.1016/j.conbuildmat.2017.11.103
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Recursos audiovisuais para Geoideias: apoio ao ensino de Geociências Sthefani Archanjo Silva, Luiz Antonio Pereira Ferraz, Andrez... Published: 21 October 2017
XXV Congresso de Iniciação Científica da Unicamp, doi: 10.19146/pibic-2017-78051
DOI See at publisher website
Article 0 Reads 1 Citation Weighted spectral clustering for water distribution network partitioning Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Robe... Published: 30 June 2017
Applied Network Science, doi: 10.1007/s41109-017-0033-4
DOI See at publisher website
ABS Show/hide abstract
In order to improve the management and to better locate water losses, Water Distribution Networks can be physically divided into District Meter Areas (DMAs), inserting hydraulic devices on proper pipes and thus simplifying the control of water budget and pressure regime. Traditionally, the water network division is based on empirical suggestions and on ‘trial and error’ approaches, checking results step by step through hydraulic simulation, and so making it very difficult to apply such approaches to large networks. Recently, some heuristic procedures, based on graph and network theory, have shown that it is possible to automatically identify optimal solutions in terms of number, shape and dimension of DMAs. In this paper, weighted spectral clustering methods have been used to define the optimal layout of districts in a real water distribution system, taking into account both geometric and hydraulic features, through weighted adjacency matrices. The obtained results confirm the feasibility of the use of spectral clustering to address the arduous problem of water supply network partitioning with an elegant mathematical approach compared to other heuristic procedures proposed in the literature. A comparison between different spectral clustering solutions has been carried out through topological and energy performance indices, in order to identify the optimal water network partitioning procedure.
Article 0 Reads 0 Citations A globally deployable strategy for co-development of adaptation preferences to sea-level rise: the public participation ... Jose A. Marengo, Luci H. Nunes, Celia R. G. Souza, Frank Mul... Published: 09 April 2017
Natural Hazards, doi: 10.1007/s11069-017-2855-x
DOI See at publisher website
Article 0 Reads 0 Citations Use of TDR to Compare Rising Damp in Three Tuff Walls Made with Different Mortars Rosa Agliata, Luigi Mollo, Roberto Greco Published: 01 April 2017
Journal of Materials in Civil Engineering, doi: 10.1061/(asce)mt.1943-5533.0001794
DOI See at publisher website
BOOK-CHAPTER 0 Reads 2 Citations Water Supply Network Partitioning Based On Weighted Spectral Clustering Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Robe... Published: 30 November 2016
Studies in Computational Intelligence, doi: 10.1007/978-3-319-50901-3_63
DOI See at publisher website
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