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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 …
Automatic floor plan analysis and recognition
Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …
multiple methodologies that automatically extract information from architectural floor plans …
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 …
A robust autonomous navigation and map** system based on GPS and LiDAR data for unconstraint environment
For autonomous navigation, three main functions are essential: finding the location, creating
the map**, and getting the optimum path. Since Human operators study the map and …
the map**, and getting the optimum path. Since Human operators study the map and …
[HTML][HTML] Automatic classification of hospital settings through artificial intelligence
Modern hospitals have to meet requirements from national and international institutions in
order to ensure hygiene, quality and organisational standards. Moreover, a hospital must be …
order to ensure hygiene, quality and organisational standards. Moreover, a hospital must be …
Methods and Applications of Space Understanding in Indoor Environment—A Decade Survey
S Pokuciński, D Mrozek - Applied Sciences, 2024 - mdpi.com
The demand for digitizing manufacturing and controlling processes has been steadily
increasing in recent years. Digitization relies on different techniques and equipment, which …
increasing in recent years. Digitization relies on different techniques and equipment, which …
RISC-Net: rotation invariant siamese convolution network for floor plan image retrieval
A floor plan represents the blue print of a building. Organizing a massive set of such floor
plans and accessing them based on similarity is challenging for any architect. During the …
plans and accessing them based on similarity is challenging for any architect. During the …
PU learning-based recognition of structural elements in architectural floor plans
This work introduces a computational method for the recognition of structural elements in
architectural floor plans. The proposed method requires minimal user interaction and is …
architectural floor plans. The proposed method requires minimal user interaction and is …
[PDF][PDF] Automatic room type classification using machine learning for two-dimensional residential building plans
Building plan semantic retrieval is of interest in every stage of construction and facility
management processes. A conceptual design model with a space layout can be used for the …
management processes. A conceptual design model with a space layout can be used for the …
Flexnet: Learning deep features using autoencoders for floor plan image retrieval
Content-based retrieval of scanned document images is gaining research. A system that
automatically analyses and retrieves similar floor plan images depending on user needs …
automatically analyses and retrieves similar floor plan images depending on user needs …