State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
[HTML][HTML] Approaches based on artificial intelligence and the internet of intelligent things to prevent the spread of COVID-19: sco** review
AS Adly, AS Adly, MS Adly - Journal of medical Internet research, 2020 - jmir.org
Background Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are
promising technologies to prevent the concerningly rapid spread of coronavirus disease …
promising technologies to prevent the concerningly rapid spread of coronavirus disease …
A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends
Rapid development in structural health monitoring systems has led to the invention of
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology
H **aoyang, Z Junzhi, F **gyuan… - Journal of Intelligent & …, 2021 - content.iospress.com
Relying on the reform of the learning field curriculum system of ideological and political
education courses in colleges and universities, the association rules between data mining …
education courses in colleges and universities, the association rules between data mining …
Impact damage characterization approach for CFRP pipes via self-sensing
The growing usage of carbon-fiber-reinforced polymers (CFRPs) has necessitated the
development of structural health monitoring (SHM) for ensuring their integrity and safe …
development of structural health monitoring (SHM) for ensuring their integrity and safe …
Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review
The construction industry faces many challenges, including schedule and cost overruns,
productivity constraints, and workforce shortages. Compared to other sectors, it lags in …
productivity constraints, and workforce shortages. Compared to other sectors, it lags in …
Predicting flexural capacity of ultrahigh-performance concrete beams: machine learning–based approach
Despite ongoing research efforts aimed at understanding the structural response of ultrahigh-
performance concrete (UHPC) beams, there are very limited provisions for structural design …
performance concrete (UHPC) beams, there are very limited provisions for structural design …
Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review
As Smart Cities development grows, deploying advanced technologies, such as the Internet
of Things (IoT), Cyber–Physical Systems, and particularly, Artificial Intelligence (AI) …
of Things (IoT), Cyber–Physical Systems, and particularly, Artificial Intelligence (AI) …
Bi-Directional LSTM Model for accurate and real-time landslide detection: a case study in mawiongrim, Meghalaya, India
This article presents a bidirectional long short-term memory (LSTM) model for the detection
of landslides. Previous uses of machine learning (ML) in this setting have demonstrated its …
of landslides. Previous uses of machine learning (ML) in this setting have demonstrated its …
Artificial intelligence and Smart Cities: A bibliometric analysis
Smart cities use pioneering technology like Machine-Learning (ML), Artificial-Intelligence
(AI) and Internet of–Things (IoT) to connect people and places. This report includes a …
(AI) and Internet of–Things (IoT) to connect people and places. This report includes a …