MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center

Y Rong, L Yu, W Niu, Y Liu, T Senapati… - … Applications of Artificial …, 2022 - Elsevier
The evaluation and selection of cold chain logistics distribution center (CCLDC) possesses
important strategic significance for enterprises to optimize logistics network. This paper firstly …

Augmented and virtual reality (AR/VR) for education and training in the AEC industry: A systematic review of research and applications

Y Tan, W Xu, S Li, K Chen - Buildings, 2022 - mdpi.com
With updated equipment and maturing technology, the applications of augmented and
virtual reality (AR/VR) technologies in the architecture, engineering, and construction (AEC) …

Building information modelling and internet of things integration for facility management—Literature review and future needs

A Mannino, MC Dejaco, F Re Cecconi - Applied Sciences, 2021 - mdpi.com
Digitisation of the built environment is seen as a significant factor for innovation in the
Architecture, Engineering, Construction and Operation sector. However, lack of data and …

Assessing project portfolio risk via an enhanced GA-BPNN combined with PCA

L Bai, C Song, X Zhou, Y Tian, L Wei - Engineering Applications of Artificial …, 2023 - Elsevier
Assessing project portfolio risk (PPR) is essential for organizations to grasp the overall risk
levels of project portfolios (PPs) and realize PPR mitigation. However, current research is …

Interval fuzzy AHP method in risk assessment

D Bozanic, D Tešić, N Komazec… - Reports in …, 2023 - rme-journal.org
Abstract The Analytic Hierarchy Process (AHP) method is one of the oldest and mostly used
multi-criteria decision-making methods. In addition to the development of a large number of …

[HTML][HTML] Enhancing construction safety: Machine learning-based classification of injury types

M Alkaissy, M Arashpour, EM Golafshani, MR Hosseini… - Safety science, 2023 - Elsevier
The construction industry is a hazardous industry with significant injuries and fatalities. Few
studies have used data-driven analysis to investigate injuries due to construction accidents …

Time-series prediction of shield movement performance during tunneling based on hybrid model

SS Lin, N Zhang, A Zhou, SL Shen - Tunnelling and Underground Space …, 2022 - Elsevier
This study presents a hybrid model based on the particle swarm optimization (PSO)
algorithm and a long short-term memory (LSTM) neural network. PSO can determine the …