Street view imagery (SVI) provides efficient access to data that can be used to research
spatial quality at the human scale. The previous reviews have mainly focused on specific …

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 …

A dual attention deep learning network is developed to classify three types of steel defects,
locate their positions, and depict their shapes on the steel surface in an automatic and …

Regular building inspection and maintenance has been deemed as a necessary preventive
measure to maintain the functionality, integrity and aesthetics of buildings. 2D computer …

Recently, settlement planning and replanning process are becoming the main problem in
rapidly growing cities. Unplanned urban settlements are quite common, especially in low …

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 …

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 …

Since the outbreak of COVID-19, in order to reduce people's contact, the takeaway business
has been developed rapidly, bringing a large demand for disposable and degradable …

Crawler crane overturning often results in many casualties and property damage. However,
the existing research on overturning prevention mainly focuses on the internal factors of …

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 …