11573/1304494 - 2020 -
Artificial intelligence to predict maximum surface settlements induced by mechanized tunnelling Ramezanshirazi, M.; Sebastiani, D.; Miliziano, S. - 02a Capitolo o Articolo
libro: Lecture Notes in Civil Engineering - (978-3-030-21358-9; 978-3-030-21359-6)
11573/1192295 - 2018 -
Introduce applicability of multi-layer perception to predict the behaviour of semi-interlocking masonry panel Zarrin, O.; Ramezanshirazi, M. - 01a Articolo in rivista
rivista: International Journal of Computer, Electrical, Automation, Control and Information Engineering (World Academy of Science, Engineering and Technology (WASET)) pp. -6 - issn: 1307-6892 - wos: (0) - scopus: (0)
11573/1192310 - 2018 -
The feasibility of “Radial Basis Function Network (RBF)” to predict the behaviour
of semi-interlocking masonry (SIM) panel Zarrin, O.; Totoev, Y. Z.; Ramezanshirazi, M. - 01a Articolo in rivista
rivista: MASONRY INTERNATIONAL (: Whyteleafe Surrey: International Masonry Society) pp. 27-32 - issn: 2398-757X - wos: (0) - scopus: 2-s2.0-85118410571 (0)
11573/1078077 - 2017 -
A REVIEW ON THE APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS (ANNs) IN LARGE-SCALE EVALUATION OF URBAN ENVIRONMENT Rafie Manzelat, Reihaneh; Ramezanshirazi, Mohsen - 04d Abstract in atti di convegno
libro: Recent Innovations in Engineering and Technology (ICRIET) - ()
11573/1123088 - 2017 -
Study on short and "long term" effects of chemicals on fine grained soils for mechanized tunnelling conditioning Sebastiani, Diego; Ramezanshirazi, Mohsen; Di Giulio, Anita; Miliziano, Salvatore - 04b Atto di convegno in volume
congresso: ITA-AITES World tunnel congress 2017 - WTC 2017 (Bergen, Norway)
libro: Proceedings of the WTC 2017 - Surface challenges - underground solutions - ()