Dynamic prediction for attitude and position in shield tunneling: A deep learning method
Quality management in shield tunneling projects is a challenging problem. To improve the
quality of segment erection, the shield driver must constantly adjust the shield's attitude and …
quality of segment erection, the shield driver must constantly adjust the shield's attitude and …
Combining association rules mining with complex networks to monitor coupled risks
Due to geotechnical uncertainties, existing underground infrastructure, the construction of
deep-pit foundations in dense urban areas is particularly challenging as there is a …
deep-pit foundations in dense urban areas is particularly challenging as there is a …
Unsupervised spectral clustering for shield tunneling machine monitoring data with complex network theory
Extraction of underlying knowledge from monitoring data is beneficial to on-site
management during shield tunneling construction. However, it remains a challenge to …
management during shield tunneling construction. However, it remains a challenge to …
A hybrid DBH-VNS for high-end equipment production scheduling with machine failures and preventive maintenance activities
The high-end equipment features with high value, complicated manufacturing process, and
high status, and it thus brings a huge challenge to increase reliability, quality, and …
high status, and it thus brings a huge challenge to increase reliability, quality, and …
Joint optimization of structure and protection of interdependent infrastructure networks
Nowadays, critical infrastructures are essential for the normal operation of economics and
social life. Because of the increasing number of terrorist attacks and other accidents …
social life. Because of the increasing number of terrorist attacks and other accidents …
A heuristic method to identify optimum seismic retrofit strategies for critical infrastructure systems
Retrofitting critical components of a critical infrastructure system to improve its seismic
performance has been considered as the most frequently used mitigation strategy in both …
performance has been considered as the most frequently used mitigation strategy in both …
Ridesharing in urban areas: Multi-objective optimisation approach for ride-matching and routeing with commuters' dynamic mode choice
L Guan, J Pei, X Liu, Z Zhou… - International Journal of …, 2022 - Taylor & Francis
The daily home-office commute of millions of people in crowded cities strains air quality and
increases travel time, which motivates the generation of ridesharing. Ridesharing offers …
increases travel time, which motivates the generation of ridesharing. Ridesharing offers …
[HTML][HTML] A Spatial Decision-Support System for Wind Farm Site Selection in Djibouti
The escalating energy demand in Djibouti requires the investigation of renewable energy
sources, with wind energy emerging as a promising solution. To ensure the long-term …
sources, with wind energy emerging as a promising solution. To ensure the long-term …
Vulnerability assessment of community-interdependent infrastructure network based on PSDA
Vulnerability assessment of interdependent infrastructure networks (IINs) must be conducted
according to a specific situation such as the failure model, the scale of networks …
according to a specific situation such as the failure model, the scale of networks …
Simplified operation models of integrated power and gas systems for vulnerability analysis
H Zhang, M Ouyang, S Wu, L Hong - Physica A: Statistical Mechanics and …, 2019 - Elsevier
This paper selects four frequently used operation models for integrated power and gas
systems (IPGSs), including a power network connectivity and gas network connectivity …
systems (IPGSs), including a power network connectivity and gas network connectivity …