[HTML][HTML] Street view imagery in urban analytics and GIS: A review
F Biljecki, K Ito - Landscape and Urban Planning, 2021 - Elsevier
Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …
collection and urban analytics, deriving insights and supporting informed decisions. Such …
Machine learning applications for building structural design and performance assessment: State-of-the-art review
Abstract Machine learning models have been shown to be useful for predicting and
assessing structural performance, identifying structural condition and informing preemptive …
assessing structural performance, identifying structural condition and informing preemptive …
[HTML][HTML] Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax
The quality of street space plays an important role in promoting urban development. Street
space refers to public spaces consisting of street elements such as plant, roads and …
space refers to public spaces consisting of street elements such as plant, roads and …
Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies
M Mishra - Journal of Cultural Heritage, 2021 - Elsevier
This paper performed a systematic review of the various machine learning (ML) techniques
applied to assess the health condition of heritage buildings. More robust predictive models …
applied to assess the health condition of heritage buildings. More robust predictive models …
Examining the association between the built environment and pedestrian volume using street view images
Many studies have confirmed that the characteristics of the built environment affect
individual walking behaviors. However, scant attention has been paid to population-level …
individual walking behaviors. However, scant attention has been paid to population-level …
Machine learning for risk and resilience assessment in structural engineering: Progress and future trends
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities
Abstract Knowledge of building height is critical for understanding the urban development
process. High-resolution optical satellite images can provide fine spatial details within urban …
process. High-resolution optical satellite images can provide fine spatial details within urban …
Fibre-optic sensor and deep learning-based structural health monitoring systems for civil structures: A review
UMN Jayawickrema, H Herath, NK Hettiarachchi… - Measurement, 2022 - Elsevier
Structural health monitoring (SHM) systems in civil engineering structures have been a
growing focus of research and practice. Over the last few decades, optical fibre sensor (OFS) …
growing focus of research and practice. Over the last few decades, optical fibre sensor (OFS) …
Understanding architecture age and style through deep learning
Architectural styles and their evolution are central to architecture history. However,
traditional approaches to understand styles and their evolution require domain expertise …
traditional approaches to understand styles and their evolution require domain expertise …
Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study
Q He, Z Li, W Gao, H Chen, X Wu, X Cheng… - Building and …, 2021 - Elsevier
A daylight performance evaluation at the early design stage is essential for a building
morphology design and optimization, having a tremendous influence on energy …
morphology design and optimization, having a tremendous influence on energy …