Three-dimensional (3D) shape generation techniques leveraging deep learning have
garnered significant interest from both computer vision and architectural design …

The ability of deep learning has been tested to learn graphical features for building-plan
generation. However, whether the deeper space allocation strategies can be obtained and …

3D shape generation techniques leveraging deep learning have garnered significant
interest from both the computer vision and architectural design communities, promising to …

Architectural design is a highly complex practice that involves a wide diversity of disciplines,
technologies, proprietary design software, expertise, and an almost infinite number of …

With the increasing demands of health care, the design of hospital buildings has become
increasingly demanding and complicated. However, the traditional layout design method for …

Floorplans are commonly used to represent the layout of buildings. Research works toward
computational techniques that facilitate the design process, such as automated analysis and …

In recent years, as machine learning has been widely studied in the field of architecture,
scholars have demonstrated that computers can be used to learn the graphical features of …

In recent years, machine learning has gradually been applied to building energy-saving
designs to reduce the time consumption of the optimization screening stage. However, since …

Indoor positioning is one of the difficult problems in current navigation systems. There is an
increasing demand for detecting the locations of objects and humans inside closed …

Floorplans often require considering numerous factors, from the layout size to cost, numeric
attributes such as room sizes, and other intrinsic properties such as connectivity between …