Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kaiji Lu"'
Publikováno v:
Advances in Civil Engineering, Vol 2023 (2023)
To address the scarcity of lime resources, this study explores the potential of using industrial solid waste, including fly ash (FA) and carbide slag, as replacements for lime or cement in soil stabilization for roadbed construction. The optimal mixi
Externí odkaz:
https://doaj.org/article/490612b48b4248de97d8c23a4fae1802
Publikováno v:
Sensors, Vol 21, Iss 12, p 4242 (2021)
Natural vibration characteristics serve as one of the crucial references for bridge monitoring. However, temperature-induced changes in the natural vibration characteristics of bridge structures may exceed the impact of structural damage, thus causin
Externí odkaz:
https://doaj.org/article/5ecc64a4a63242d6b9aeb33b77e84774
Autor:
Bin Xu, Runduo Ding, Zhihao Yang, Yiren Sun, Jiancheng Zhang, Kaiji Lu, Dongwei Cao, Aodong Gao
Publikováno v:
Journal of Cleaner Production. 395:136285
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b2f430d6438b62c2c8f9edae9c5834
https://doi.org/10.1016/j.jclepro.2023.136285
https://doi.org/10.1016/j.jclepro.2023.136285
Publikováno v:
Materials; Volume 15; Issue 11; Pages: 3930
A large amount of stone powder is produced during the production of machine-made sand. This research aims to study the effect of wet-process tuff silt powder (WTSP) dosages (as an alternative sand material to utilize waste stone powder and reduce env
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47703dfe15b459a6ac2ae92bd616664d
https://pubmed.ncbi.nlm.nih.gov/35683222
https://pubmed.ncbi.nlm.nih.gov/35683222
Publikováno v:
KDD
This tutorial examines the synergistic relationship between explainability methods for machine learning and a significant problem related to model quality: robustness against adversarial perturbations. We begin with a broad overview of approaches to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95e430a484bf8fcec082220bba3859f8
https://doi.org/10.1145/3447548.3470806
https://doi.org/10.1145/3447548.3470806
Publikováno v:
Sensors, Vol 21, Iss 4242, p 4242 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Natural vibration characteristics serve as one of the crucial references for bridge monitoring. However, temperature-induced changes in the natural vibration characteristics of bridge structures may exceed the impact of structural damage, thus causin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56da3263093520a3e042d3132fdefb33
https://www.mdpi.com/1424-8220/21/12/4242
https://www.mdpi.com/1424-8220/21/12/4242
Publikováno v:
ACL
LSTM-based recurrent neural networks are the state-of-the-art for many natural language processing (NLP) tasks. Despite their performance, it is unclear whether, or how, LSTMs learn structural features of natural languages such as subject-verb number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51e8819a9814a723f9f2736bfbd50054
https://doi.org/10.18653/v1/2020.acl-main.430
https://doi.org/10.18653/v1/2020.acl-main.430
Publikováno v:
Logic, Language, and Security ISBN: 9783030620769
Logic, Language, and Security
Logic, Language, and Security
We examine whether neural natural language processing (NLP) systems reflect historical biases in training data. We define a general benchmark to quantify gender bias in a variety of neural NLP tasks. Our empirical evaluation with state-of-the-art neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abbb3f0116448241f06907b165e4d350
https://doi.org/10.1007/978-3-030-62077-6_14
https://doi.org/10.1007/978-3-030-62077-6_14
Publikováno v:
Materials; Volume 15; Issue 6; Pages: 2283
Rollpave pavement, as a rollable prefabricated asphalt pavement technology, can effectively reduce the overall road closure time required for pavement construction and maintenance. Sensors can be integrated into Rollpave pavement, thereby avoiding se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d262756304e61dbe5b491f23945eb3
https://doi.org/10.3390/ma15062283
https://doi.org/10.3390/ma15062283