Deep reinforcement learning has demonstrated its capability to solve a diverse array of challenging problems, which were not able to solve previously. It has been able to achieve human-level performance in Atari 2600 games and it has shown great p...
The focus of this thesis is on automation in road asset inspection using deep neural networks. Even though some progress has been made in automation of data collection and condition assessment, the amount of manual operation and the cost of road i...
This project attempts to develop and test a method for generating one-sided hybrid exterior building elevations using two designer’s base criteria and design ruleset as an input. Architects are using computational design to expedite the iteration ...
Sketching is a critical part of the early stages of the design process, facilitating ideation and the exploration of conceptual designs. Digital sketching tools have been introduced as a method for augmenting and supporting the sketching process. ...
