[HTML][HTML] Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for …
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …
communication, and computing technologies has marked the epoch of data-driven smart city …
Urban wind field prediction based on sparse sensors and physics‐informed graph‐assisted auto‐encoder
The urban flow wind field is a critical element for downstream research, such as mitigation of
urban wind disasters, assessment of urban wind environment, and urban drone route …
urban wind disasters, assessment of urban wind environment, and urban drone route …
Leveraging Generative AI for Smart City Digital Twins: A Survey on the Autonomous Generation of Data, Scenarios, 3D City Models, and Urban Designs
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …
communication, and computing technologies has marked the epoch of data-driven smart city …
Rapid pedestrian‐level wind field prediction for early‐stage design using Pareto‐optimized convolutional neural networks
AV Clemente, KET Giljarhus… - Computer‐Aided Civil …, 2024 - Wiley Online Library
Traditional computational fluid dynamics (CFD) methods used for wind field prediction can
be time‐consuming, limiting architectural creativity in the early‐stage design process. Deep …
be time‐consuming, limiting architectural creativity in the early‐stage design process. Deep …
A novel machine learning-based framework for mapping outdoor thermal comfort
SS Shahrestani, ZS Zomorodian, M Karami… - Advances in Building …, 2023 - Taylor & Francis
Rapid urbanization and global warming have increased heat stress in urban areas. This in
turn makes using indoor space more compelling and leads to more energy consumption …
turn makes using indoor space more compelling and leads to more energy consumption …
[HTML][HTML] Predicting Wind Comfort in an Urban Area: A Comparison of a Regression-with a Classification-CNN for General Wind Rose Statistics
J Werner, D Nowak, F Hunger, T Johnson… - Machine Learning and …, 2024 - mdpi.com
Wind comfort is an important factor when new buildings in existing urban areas are planned.
It is common practice to use computational fluid dynamics (CFD) simulations to model wind …
It is common practice to use computational fluid dynamics (CFD) simulations to model wind …
Configurable convolutional neural networks for real-time pedestrian-level wind prediction in urban environments
Urbanization has underscored the importance of understanding the pedestrian wind
environment in urban and architectural design contexts. Pedestrian Wind Comfort (PWC) …
environment in urban and architectural design contexts. Pedestrian Wind Comfort (PWC) …
[PDF][PDF] Bridging the gap: Embedding 3D details into fast deep-learning model for pedestrian-level wind prediction
A Clarke, K Erik, T Giljarhus, L Oggiano, A Saddington… - 2024 - eprints.soton.ac.uk
1Centre for Defence Engineering, Cranfield University, Defence Academy of the UK,
Shrivenham, United Kingdom 2Department of Mechanical and Structural Engineering and …
Shrivenham, United Kingdom 2Department of Mechanical and Structural Engineering and …
[HTML][HTML] Towards Physics-Informed Neural Networks for Urban Wind Flow Prediction
HM Gråberg - 2022 - ntnuopen.ntnu.no
Numerisk fluidmekanikk (CFD) er et fagområde som inkluderer metoder for simulering av
fluidmekanikk. Disse metodene brukes for å løse en rekke komplekse problemer, blant …
fluidmekanikk. Disse metodene brukes for å løse en rekke komplekse problemer, blant …