Combining physical approaches with deep learning techniques for urban building energy modeling: A comprehensive review and future research prospects
In recent times, there has been a growing interest in urban building energy modeling
(UBEM), owing to its potential benefits for cities. These benefits include aiding city decision …
(UBEM), owing to its potential benefits for cities. These benefits include aiding city decision …
[HTML][HTML] Integration of convolutional and adversarial networks into building design: A review
Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …
activities. One such field is building design, a multi-disciplinary and multi-task process …
Exploring the association between street built environment and street vitality using deep learning methods
Street vitality has become an essential indicator for evaluating the attractiveness and
potential of the sustainable development of urban blocks, and it can be reflected by the type …
potential of the sustainable development of urban blocks, and it can be reflected by the type …
Deep learning for detecting building façade elements from images considering prior knowledge
Building façades elements detection plays a key point role in façade defects detection and
street scene reconstruction tasks for sustainable city development. Although the artificial …
street scene reconstruction tasks for sustainable city development. Although the artificial …
The fault frequency priors fusion deep learning framework with application to fault diagnosis of offshore wind turbines
In fault diagnosis, deep learning plays an important role, but still lacks good interpretability.
To address this issue, we develop a novel fault frequency priors fusion deep learning (FFP …
To address this issue, we develop a novel fault frequency priors fusion deep learning (FFP …
Automatic generation of synthetic datasets from a city digital twin for use in the instance segmentation of building facades
The extraction and integration of building facade data are necessary for the development of
information infrastructure for urban environments. However, existing methods for parsing …
information infrastructure for urban environments. However, existing methods for parsing …
Residential building facade segmentation in the urban environment
Building retrofit is an important facet in the drive to reduce global greenhouse gas
emissions. However, delivering building retrofit at scale is a significant challenge, especially …
emissions. However, delivering building retrofit at scale is a significant challenge, especially …
Improving facade parsing with vision transformers and line integration
Facade parsing stands as a pivotal computer vision task with far-reaching applications in
areas like architecture, urban planning, and energy efficiency. Despite the recent success of …
areas like architecture, urban planning, and energy efficiency. Despite the recent success of …
A framework for fully automated reconstruction of semantic building model at urban-scale using textured LoD2 data
Abstract The CityGML Level of Detail 3 (LoD3), a widely adopted standard for three-
dimensional (3D) city modeling, has been accessible for an extended period. However, its …
dimensional (3D) city modeling, has been accessible for an extended period. However, its …
A review on artificial intelligence applications for facades
This review applies a transformer-based topic model to reveal trends and relationships in
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …