Tunnel deformation prediction during construction: An explainable hybrid model considering temporal and static factors
This paper presents a novel hybrid model designed for predicting mountain tunnel
deformation during construction, incorporating both temporal and static factors. Utilizing a …
deformation during construction, incorporating both temporal and static factors. Utilizing a …
Health evaluation of shield tunnel lining using combination weighting and finite interval cloud model
YW Zhang, DS Guo, ZP Song, YD Zhang… - … Applications of Artificial …, 2025 - Elsevier
To solve the problem of inaccurate and unreasonable health evaluation of shield tunnel
lining, a novel health evaluation model of shield tunnel lining based on the combination …
lining, a novel health evaluation model of shield tunnel lining based on the combination …
Data-Driven Insights Into Post-Earthquake Reconnaissance Findings: 2023 Türkiye Earthquake Sequence
MA Hariri-Ardebili, S Sattar - Earthquake Spectra, 2024 - journals.sagepub.com
Post-earthquake reconnaissance stands as a vital endeavor, encompassing a systematic
survey and data collection to gain insights into the aftermath of seismic events. Grappling …
survey and data collection to gain insights into the aftermath of seismic events. Grappling …
Postblast damage assessment of concrete-filled double-skin tube columns by intelligence-based techniques
X Wang, T Li, Y Wang, Y Xu - Journal of Constructional Steel Research, 2024 - Elsevier
This paper aims to use machine learning (ML) based on a regression algorithm to predict
the damage degree of a concrete-filled double-skin steel tubular column (CFDST) after …
the damage degree of a concrete-filled double-skin steel tubular column (CFDST) after …
Comprehensive resilience assessment of bridge networks using ensemble learning method
G Yang, D Wu, J Mao, Y Du - Advances in Engineering Software, 2024 - Elsevier
The assessment of seismic resilience in bridge networks holds significant importance for
urban disaster prevention and mitigation efforts. Unlike individual bridges, there has been …
urban disaster prevention and mitigation efforts. Unlike individual bridges, there has been …
An Explainable Evaluation Model for Building Thermal Comfort in China
H Liu, E Ma - Buildings, 2023 - mdpi.com
The concentration of atmospheric greenhouse gases is being amplified by human activity.
Building energy consumption, particularly for heating and cooling purposes, constitutes a …
Building energy consumption, particularly for heating and cooling purposes, constitutes a …
An empirical analysis of hyperparameter tuning impact on ensemble machine learning algorithm for earthquake damage prediction
Earthquake damage prediction is crucial for ensuring the safety of building occupants and
preventing substantial financial losses. Because it enables robust structural design, financial …
preventing substantial financial losses. Because it enables robust structural design, financial …
Estimation of indoor occupancy level based on machine learning and multimodal environmental data
S Siecinski, E Mohammadi… - 2024 IEEE 22nd …, 2024 - ieeexplore.ieee.org
The detection of presence and occupancy has been identified as an important research
topic in the context of anomaly detection and energy efficiency. In our paper, we compare …
topic in the context of anomaly detection and energy efficiency. In our paper, we compare …