Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices

ATG Tapeh, MZ Naser - Archives of Computational Methods in …, 2023 - Springer
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

[HTML][HTML] Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities and challenges

RI Mukhamediev, Y Popova, Y Kuchin, E Zaitseva… - Mathematics, 2022 - mdpi.com
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

Error metrics and performance fitness indicators for artificial intelligence and machine learning in engineering and sciences

MZ Naser, AH Alavi - Architecture, Structures and Construction, 2023 - Springer
Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

O Avci, O Abdeljaber, S Kiranyaz, M Hussein… - Mechanical systems and …, 2021 - Elsevier
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …

Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

R Hou, Y **a - Journal of Sound and Vibration, 2021 - Elsevier
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

[HTML][HTML] Improving aircraft performance using machine learning: A review

S Le Clainche, E Ferrer, S Gibson, E Cross… - Aerospace Science and …, 2023 - Elsevier
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection

L Sun, Z Shang, Y **a, S Bhowmick… - Journal of Structural …, 2020 - ascelibrary.org
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

Three decades of statistical pattern recognition paradigm for SHM of bridges

E Figueiredo, J Brownjohn - Structural Health Monitoring, 2022 - journals.sagepub.com
Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …

A new frontier of printed electronics: flexible hybrid electronics

Y Khan, A Thielens, S Muin, J Ting… - Advanced …, 2020 - Wiley Online Library
The performance and integration density of silicon integrated circuits (ICs) have progressed
at an unprecedented pace in the past 60 years. While silicon ICs thrive at low‐power high …