[HTML][HTML] Removal of freezing effects from modal frequencies of civil structures for structural health monitoring

A Entezami, H Sarmadi, B Behkamal - Engineering Structures, 2024 - Elsevier
Freezing weather can introduce challenges in long-term structural health monitoring of civil
structures, particularly bridges. A noticeable impact of freezing temperature is the …

Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based …

A Nikdel, H Shariatmadar - Structural Health Monitoring, 2024 - journals.sagepub.com
Temperature variability is one of the critical environmental conditions that causes confusing
changes in structural properties and dynamic responses of bridges similar to damage. In this …

Pioneering remote sensing in structural health monitoring

A Entezami, B Behkamal, C De Michele - Long-Term Structural Health …, 2024 - Springer
Recently, long-term structural health monitoring (SHM) of civil structures by using the
technology of remote sensing has received increasing attention by civil engineers. This is …

Ocean carbon emission prediction and management measures based on artificial intelligence remote sensing estimation in the context of carbon neutrality

B Wang, L Hua, AM Al-Mohaimeed, N Zhao - Environmental Research, 2024 - Elsevier
With rapid economic development, the gradual deterioration of the natural environment has
posed unprecedented challenges to human social civilization. The marine economy, as an …

[HTML][HTML] Machine learning techniques for diagrid building design: Architectural–Structural correlations with feature selection and data augmentation

P Kazemi, A Entezami, A Ghisi - Journal of Building Engineering, 2024 - Elsevier
Artificial intelligence (AI) and machine learning (ML) techniques are transforming building
engineering. This work goes through the critical role of architectural parameters in …

Advanced ML methods: bridging SAR images and structural health monitoring

A Entezami, B Behkamal, C De Michele - Long-Term Structural Health …, 2024 - Springer
The classical SAR-aided SHM directly analyzes displacement data obtained from SAR
images. Although the extraction of displacement responses from SAR images via various …

[KNIHA][B] Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning

A Entezami, B Behkamal, C De Michele - 2024 - Springer
Continuous health monitoring of civil structures is an effective approach to assess their
health and safety. In most applications to structural health monitoring (SHM) grounded on …

Online diagnosis for bridge monitoring data via a machine learning-based anomaly detection method

L Wang, J Kang, W Zhang, J Hu, K Wang, D Wang… - Measurement, 2025 - Elsevier
For abnormal alarm behaviors in bridge monitoring processes, we developed an anomaly
detection model that identifies inter-period and intra-period correlations. By learning the …

A kernelized deep regression method to simultaneously predict and normalize displacement responses of long-span bridges via limited synthetic aperture radar …

A Entezami, B Behkamal… - Structural Health …, 2025 - journals.sagepub.com
Synthetic aperture radar (SAR) images retrieved by spaceborne remote sensing have
recently gained significant attention as an affordable and effective solution to provide …

[HTML][HTML] A Novel Shipyard Production State Monitoring Method Based on Satellite Remote Sensing Images

W Qin, Y Song, H Zhu, X Yu, Y Tu - Remote Sensing, 2023 - mdpi.com
Monitoring the shipyard production state is of great significance to shipbuilding industry
development and coastal resource utilization. In this article, it is the first time that satellite …