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State-of-the-art AI-based computational analysis in civil engineering
C Wang, L Song, Z Yuan, J Fan - Journal of Industrial Information …, 2023 - Elsevier
With the informatization of the building and infrastructure industry, conventional analysis
methods are gradually proving inadequate in meeting the demands of the new era, such as …
methods are gradually proving inadequate in meeting the demands of the new era, such as …
Data mining techniques and applications–A decade review from 2000 to 2011
SH Liao, PH Chu, PY Hsiao - Expert systems with applications, 2012 - Elsevier
In order to determine how data mining techniques (DMT) and their applications have
developed, during the past decade, this paper reviews data mining techniques and their …
developed, during the past decade, this paper reviews data mining techniques and their …
Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression
Self-compacting concrete (SCC) can achieve compaction into every part of the formwork
through its own weight without any segregation of the coarse aggregate. Lightweight …
through its own weight without any segregation of the coarse aggregate. Lightweight …
Efficient machine learning method for evaluating compressive strength of cement stabilized soft soil
C Zhang, Z Zhu, F Liu, Y Yang, Y Wan, W Huo… - … and Building Materials, 2023 - Elsevier
To meet the design strength of cement stabilized soft soil (cement soil) in different
application environments, numerous field and indoor geotechnical tests are often …
application environments, numerous field and indoor geotechnical tests are often …
35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
An Artificial Neural Networks model for the prediction of the compressive strength of FRP-confined concrete circular columns
A Cascardi, F Micelli, MA Aiello - Engineering Structures, 2017 - Elsevier
Abstract Nowadays, Fiber Reinforced Polymers are extensively applied in the field of civil
engineering due to their advantageous proprieties such as high strength-to-weight ratio and …
engineering due to their advantageous proprieties such as high strength-to-weight ratio and …
Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes
This investigation studied the coalcrete, a new supporting material produced by jet grouting
(JG) for supporting surrounding coal seams. For support design, the unconfined …
(JG) for supporting surrounding coal seams. For support design, the unconfined …
Study on the mechanical properties of polyurethane (PU) grouting material of different geometric sizes under uniaxial compression
M Li, M Du, F Wang, B Xue, C Zhang, H Fang - Construction and Building …, 2020 - Elsevier
Polyurethane (PU) is increasingly adopted as grouting materials in the non-excavation
rehabilitation of infrastructures. The compressive strength of PU materials is the key to …
rehabilitation of infrastructures. The compressive strength of PU materials is the key to …
Prediction of the strength of rubberized concrete by an evolved random forest model
Rubberized concrete (RC) has attracted more attention these years as it is an economical
and environmental‐friendly construction material. Normally, the uniaxial compressive …
and environmental‐friendly construction material. Normally, the uniaxial compressive …
Insights into TripAdvisor's online reviews: The case of Tehran's hotels
R Khorsand, M Rafiee, V Kayvanfar - Tourism Management Perspectives, 2020 - Elsevier
User-generated data in TripAdvisor. com consists of considerable amount of useful
information that can help managers to provide better services to their customers. This study …
information that can help managers to provide better services to their customers. This study …