In Latin America, many architecture and urbanism programs aligned more closely with capital interests than with social needs, ...

The rapid rise of artificial intelligence is a foundational change, on par with what networking teams experienced during the ...

The earliest stages of ideation can be both the most exciting and the most challenging part of the design process. Ideas flow ...

Abstract: We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for challenging graph-constrained architectural ...

The Semantic Drone Dataset (TU-Graz) dataset [2] is used for training and evaluating the model. This dataset focused on semantic understanding of urban scenes for increasing the safety of autonomous ...