Zobrazeno 1 - 10
of 906
pro vyhledávání: '"M. Guerrieri"'
Publikováno v:
Case Studies in Construction Materials, Vol 15, Iss , Pp e00637- (2021)
This review paper presents and analyses the mechanical and durability properties of geopolymer concrete (GPC) which contain various waste materials. Significant findings have concluded that the absence of guidelines for the mix design of GPC has resu
Externí odkaz:
https://doaj.org/article/ca61d77337204546a4adc782d4b28050
Autor:
S. Koschel, M. Guerrieri, M. Chao, M. Foo, T. Sutherland, K. Taubman, K. Yap, S. Schlicht, R. Booth, D. Gyomber, D. Lenaghan, L. Wong, M. Ng
Publikováno v:
European Urology Open Science, Vol 19, Iss , Pp e1217-e1218 (2020)
Externí odkaz:
https://doaj.org/article/ccca960b26944ce18f72b83da494e6e9
Autor:
G. Sperandio, M. Fedrizzi, M. Iacurto, F. Vincenti, M. Guerrieri, D. Pochi, R. Fanigliulo, M. Pagano
Publikováno v:
Journal of Agricultural Engineering, Vol 44, Iss 2s (2013)
The increase of biological residues from numerous fellings of palms (Phoenix canariensis) infested by red palm weevil (Rhynchophorus ferrugineus Olivier) in central Italy and around the Mediterranean basin, has created an important disposal problem.
Externí odkaz:
https://doaj.org/article/d2b4380496d84bf890275ddf8fd651a5
Autor:
G. Sperandio, M. Fedrizzi, M. Guerrieri, R. Fanigliulo, D. Pochi, M. Pagano, S. Arnone, M. Cristofaro, R. Sasso, S. Musmeci, S. Catarci
Publikováno v:
Journal of Agricultural Engineering, Vol 44, Iss 2s (2013)
The provision n° A6505/29-11-2010 of the Lazio Region Agricultural Department states that the plant material resulting from the felling of palms infested by RPW (Rhynchophorus ferrugineus Olivier) must be disinfested by heat treatment or fine mechan
Externí odkaz:
https://doaj.org/article/570bd99c9d7748af95f66f9b23a91b01
Publikováno v:
Neural Computing and Applications. 35:4569-4586
Growing application of artificial intelligence in geotechnical engineering has been observed; however, its ability to predict the properties and nonlinear behaviour of reactive soil is currently not well considered. Although previous studies provided
Publikováno v:
Geotechnical and Geological Engineering. 41:943-965
Deep learning networks were employed to predict the maximum differential deflection of stiffened and waffle rafts due to reactive soil movements, Δmax. Four deep learning networks were used to predict Δmax, these are (1) stiffened rafts on shrinkin
Autor:
A. Sartori, A. Balla, E. Botteri, F. Scolari, M. Podda, P. Lepiane, M. Guerrieri, S. Morales-Conde, A. Szold, M. Ortenzi
Publikováno v:
Hernia. 27:485-501
Publikováno v:
International Journal of Remote Sensing. 43:3769-3802
Publikováno v:
Expanding Underground-Knowledge and Passion to Make a Positive Impact on the World ISBN: 9781003348030
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::910555bf18e4e20fda9894554f6d1a7b
https://doi.org/10.1201/9781003348030-365
https://doi.org/10.1201/9781003348030-365
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