Architectural spatial layout planning using artificial intelligence

J Ko, B Ennemoser, W Yoo, W Yan… - Automation in Construction, 2023 - Elsevier
Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

[HTML][HTML] Integration of convolutional and adversarial networks into building design: A review

J Parente, E Rodrigues, B Rangel, JP Martins - Journal of Building …, 2023 - Elsevier
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 …

[HTML][HTML] Landslide susceptibility map** with deep learning algorithms

JM Habumugisha, N Chen, M Rahman, MM Islam… - Sustainability, 2022 - mdpi.com
Among natural hazards, landslides are devastating in China. However, little is known
regarding potential landslide-prone areas in Maoxian County. The goal of this study was to …

Automated fire risk assessment and mitigation in building blueprints using computer vision and deep generative models

D Chen, L Chen, Y Zhang, S Lin, M Ye… - Advanced Engineering …, 2024 - Elsevier
Building fire risks pose significant threats to individual safety and bear substantial economic
consequences. Consequently, develo** effective automated fire risk assessment and …

phylaGAN: data augmentation through conditional GANs and autoencoders for improving disease prediction accuracy using microbiome data

D Sharma, W Lou, W Xu - Bioinformatics, 2024 - academic.oup.com
Motivation Research is improving our understanding of how the microbiome interacts with
the human body and its impact on human health. Existing machine learning methods have …

Generalizing floor plans using graph neural networks

CP Simonsen, FM Thiesson… - … on Image Processing …, 2021 - ieeexplore.ieee.org
The proliferation of indoor maps is limited by the manual process of generalizing floor plans.
Previous attempts at automating similar processes use rasterization for structure. With Graph …

CSID-GAN: A customized style interior floor plan design framework based on generative adversarial network

Z Wu, X Jia, R Jiang, Y Ye, H Qi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a revolutionary design approach, generative design could offer promising solutions for
intelligent design. Considering the high expenses and poor efficiency inherent in traditional …

Automatic room information retrieval and classification from floor plan using linear regression model

HK Mewada, AV Patel, J Chaudhari, K Mahant… - International Journal on …, 2020 - Springer
The automatic creation of a repository of the building's floor plan helps a lot to the architects
to reuse them. The basic approach is to extract and recognize texts, symbols or graphics to …

Classification of land lot shapes in real estate sector using a convolutional neural network

S Ham, C Lee - Plos one, 2024 - journals.plos.org
In the agriculture and real estate industries, land lot shapes have mostly been classified by
visual inspection or hard-crafted rules. These conventional methods are time-consuming …

Integrating floor plans into hedonic models for rent price appraisal

K Solovev, N Pröllochs - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Online real estate platforms have become significant marketplaces facilitating users' search
for an apartment or a house. Yet it remains challenging to accurately appraise a property's …