Deep learning hyperparameter optimization: Application to electricity and heat demand prediction for buildings
A Morteza, AA Yahyaeian, M Mirzaeibonehkhater… - Energy and …, 2023 - Elsevier
Optimal planning and operation studies of modern energy systems are tied up with medium
to long-term predictions of energy demand. Deep learning algorithms have recently become …
to long-term predictions of energy demand. Deep learning algorithms have recently become …
[HTML][HTML] Interdisciplinary Perspectives on Agent-Based Modeling in the Architecture, Engineering, and Construction Industry: A Comprehensive Review
S Mazzetto - Buildings, 2024 - mdpi.com
This paper explores the transformative impact of agent-based modeling (ABM) on the
architecture, engineering, and construction (AEC) industry, highlighting its indispensable …
architecture, engineering, and construction (AEC) industry, highlighting its indispensable …
A transformative solution for construction safety: Blockchain-based system for accident information management
S Ahmadisheykhsarmast, S Aminbakhsh… - Journal of Industrial …, 2023 - Elsevier
Effective management of accident information is a crucial component of safety management
within the construction industry, as it reflects the safety performance of the company and …
within the construction industry, as it reflects the safety performance of the company and …
Managing safety risks from overlapping construction activities: A BIM approach
Addressing safety risks in construction is an ongoing priority, and integrating safety
considerations into construction scheduling is a crucial aspect of this effort. A notable …
considerations into construction scheduling is a crucial aspect of this effort. A notable …
[HTML][HTML] An explainable artificial-intelligence-aided safety factor prediction of road embankments
Despite the widespread application of data-centric techniques in Geotechnical Engineering,
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …
[HTML][HTML] Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach
In recent years, there has been an increasing interest in renewable energies in view of the
fact that fossil fuels are the leading cause of catastrophic environmental consequences …
fact that fossil fuels are the leading cause of catastrophic environmental consequences …
Blockchain-integrated zero-knowledge proof system for privacy-preserving near-miss reporting in construction projects
Effective management of near-miss data is essential for proactive safety practices in
construction. Traditional reporting and management methods face challenges such as data …
construction. Traditional reporting and management methods face challenges such as data …
Qualitative analysis of the impact of contracts on information management in AEC projects
Project information management in architecture, engineering, and construction (AEC)
projects can be a challenging endeavor due to the complex nature of projects and the …
projects can be a challenging endeavor due to the complex nature of projects and the …
Intelligent systems integrating BIM and VR for urban subway microenvironmental Health risks management
Q Chen, C Li, X Xu, P Mao, L Xiong - Buildings, 2024 - mdpi.com
With the rapid development and construction of urban subways, various risks associated
with human health and wellbeing within subway microenvironments have seriously …
with human health and wellbeing within subway microenvironments have seriously …
Research on near-miss incidents monitoring and early warning system for building construction sites based on blockchain technology
With the expansion of the scale of construction projects, the safety situation of construction
projects has become more and more severe, and strengthening near-miss event …
projects has become more and more severe, and strengthening near-miss event …