Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/rivf/PhamDLCN22
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/conf/rivf/PhamDLCN22
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Hung_Viet_Pham
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Minh_Ngoc_Dinh
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Quang_Dang_Nguyen
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Stanley_Luong
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/TaeChoong_Chung
>
foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.1109%2FRIVF55975.2022.10013897
>
foaf:
homepage
<
https://doi.org/10.1109/RIVF55975.2022.10013897
>
dc:
identifier
DBLP conf/rivf/PhamDLCN22
(xsd:string)
dc:
identifier
DOI doi.org%2F10.1109%2FRIVF55975.2022.10013897
(xsd:string)
dcterms:
issued
2022
(xsd:gYear)
rdfs:
label
Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Hung_Viet_Pham
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Minh_Ngoc_Dinh
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Quang_Dang_Nguyen
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Stanley_Luong
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/TaeChoong_Chung
>
swrc:
pages
647-652
(xsd:string)
dcterms:
partOf
<
https://dblp.l3s.de/d2r/resource/publications/conf/rivf/2022
>
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/conf/rivf/PhamDLCN22/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/conf/rivf/PhamDLCN22
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/conf/rivf/rivf2022.html#PhamDLCN22
>
rdfs:
seeAlso
<
https://doi.org/10.1109/RIVF55975.2022.10013897
>
swrc:
series
<
https://dblp.l3s.de/d2r/resource/conferences/rivf
>
dc:
title
Discussion on complexity and accuracy of high-performance concrete's compressive strength deep learning models.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:InProceedings
rdf:
type
foaf:Document