Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Architectural spatial layout planning using artificial intelligence
Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …
relationships, yet the process remains repetitive and laborious for designers. However …
[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 …
[HTML][HTML] Landslide susceptibility map** with deep learning algorithms
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 …
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
Building fire risks pose significant threats to individual safety and bear substantial economic
consequences. Consequently, develo** effective automated fire risk assessment and …
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
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 …
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 …
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
As a revolutionary design approach, generative design could offer promising solutions for
intelligent design. Considering the high expenses and poor efficiency inherent in traditional …
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
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 …
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 …
visual inspection or hard-crafted rules. These conventional methods are time-consuming …
Integrating floor plans into hedonic models for rent price appraisal
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 …
for an apartment or a house. Yet it remains challenging to accurately appraise a property's …