Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Thien Q. Tran"'
Publikováno v:
Cleaner Materials, Vol 5, Iss , Pp 100105- (2022)
This investigation utilized isothermal calorimetry (IC) to quantify the heat of hydration of steel furnace slag (SFS)-stabilized clays to assess the chemical aspects of the stabilization. Specifically, kaolin and bentonite clays were each blended wit
Externí odkaz:
https://doaj.org/article/30beed09161f44c798d95d42d5539828
Autor:
Amir Behravan, Thien Q. Tran, Yuhao Li, Mitchell Davis, Mohammad Shadab Shaikh, Matthew M. DeJong, Alan Hernandez, Alexander S. Brand
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1396 (2023)
High-density polyethylene (HDPE) is widely used for above-ground storage tanks (ASTs). However, there are currently no guidelines for the non-destructive testing (NDT) and evaluation (NDE) of HDPE ASTs. Moreover, the feasibility, limitations, and cha
Externí odkaz:
https://doaj.org/article/fc436d10615043bb8d3623baf01d0d9f
Publikováno v:
Journal of Materials in Civil Engineering. 35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c66ab2252473f183cc4db9e17481d2c2
https://doi.org/10.1061/(asce)mt.1943-5533.0004744
https://doi.org/10.1061/(asce)mt.1943-5533.0004744
Autor:
Do Huu Dao, Thien Q. Tran, Surya S. C. Congress, Anand J. Puppala, Nguyen Minh Hai, Young Sang Kim
Publikováno v:
Indian Geotechnical Journal. 52:753-764
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98fd5b9f7b1151533b9628f27408a424
https://doi.org/10.1007/s40098-022-00623-1
https://doi.org/10.1007/s40098-022-00623-1
Publikováno v:
Resources, Conservation and Recycling. 194:107004
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c47ff6939e854d75918dc07f10982ff7
https://doi.org/10.1016/j.resconrec.2023.107004
https://doi.org/10.1016/j.resconrec.2023.107004
Publikováno v:
Construction and Building Materials. 359:129365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fbb55034f1f00f62c859463ad1047ab
https://doi.org/10.1016/j.conbuildmat.2022.129365
https://doi.org/10.1016/j.conbuildmat.2022.129365
We aim to explain a black-box classifier with the form: "data X is classified as class Y because X has A, B and does not have C" in which A, B, and C are high-level concepts. The challenge is that we have to discover in an unsupervised manner a set o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb8e117af1462bdf4a662ba73d90b771
http://arxiv.org/abs/2109.04518
http://arxiv.org/abs/2109.04518
Publikováno v:
KDD
Statistically significant patterns mining (SSPM) is an essential and challenging data mining task in the field of knowledge discovery in databases (KDD), in which each pattern is evaluated via a hypothesis test. Our study aims to introduce a preferen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09fde435fda7e8353b5f453f9cdc79b8
https://doi.org/10.1145/3394486.3403215
https://doi.org/10.1145/3394486.3403215
Autor:
Jun Sakuma, Thien Q. Tran
Publikováno v:
KDD
Search engine logs have a great potential in tracking and predicting outbreaks of infectious disease. More precisely, one can use the search volume of some search terms to predict the infection rate of an infectious disease in nearly real-time. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83b5c4b5346fe9b718bb757f4f60086f
https://doi.org/10.1145/3292500.3330766
https://doi.org/10.1145/3292500.3330766