A survey of visual transformers
Transformer, an attention-based encoder–decoder model, has already revolutionized the
field of natural language processing (NLP). Inspired by such significant achievements, some …
field of natural language processing (NLP). Inspired by such significant achievements, some …
Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework
L Fu, X Wang, H Zhao, M Li - Reliability Engineering & System Safety, 2022 - Elsevier
The deep foundation pit project (DFPP) in subway construction is characterized by a high
accident rate. Insufficient examination of the interactions among relevant safety risks often …
accident rate. Insufficient examination of the interactions among relevant safety risks often …
Selecting appropriate risk response strategies considering utility function and budget constraints: A case study of a construction company in Iran
Successful implementation of construction projects worldwide calls for a set of effective risk
management plans in which uncertainties associated with risks and effective response …
management plans in which uncertainties associated with risks and effective response …
Cooperation in an uncertain environment: The impact of stakeholders' concerted action on collaborative innovation projects risk management
Due to the impact of the epidemic, the risk management strategies of stakeholders in the
project have undergone significant changes. Recently, more and more companies have …
project have undergone significant changes. Recently, more and more companies have …
A simulation-based risk interdependency network model for project risk assessment
Project risks are mostly considered to be independent in risk management, ignoring
interdependencies among them, which can lead to inappropriate risk assessment and …
interdependencies among them, which can lead to inappropriate risk assessment and …
[HTML][HTML] Predicting and managing risk interactions and systemic risks in infrastructure projects using machine learning
Infrastructure projects often encounter performance challenges, such as cost overruns and
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …
Applying social network analysis to genetic algorithm in optimizing project risk response decisions
R isk interaction changes the probability of occurring a risk and also the impact of the risk,
which calls for new approaches for making risk response decision (RRD). In this work, a …
which calls for new approaches for making risk response decision (RRD). In this work, a …
[HTML][HTML] An optimization-based risk management framework with risk interdependence for effective disaster risk reduction
Effective risk management is crucial in the field of disaster management to mitigate the
impact of disasters. It involves proactive planning, resource allocation, and the …
impact of disasters. It involves proactive planning, resource allocation, and the …
Goal-oriented prioritization of project outputs: a stratified approach
MR Asadabadi - Production Planning & Control, 2024 - Taylor & Francis
The literature points out that project outputs need to be aligned with project goals. However,
it does not demonstrate how this alignment can be utilized to enhance project decision …
it does not demonstrate how this alignment can be utilized to enhance project decision …
Fuzzy adaptive charged system search for global optimization
This study proposes a new fuzzy adaptive Charged System Search (CSS) for global
optimization. The suggested algorithm includes a parameter tuning process based on fuzzy …
optimization. The suggested algorithm includes a parameter tuning process based on fuzzy …