Abstract The research focuses on the application of AI in field urban morphology. takes blocks as a case study and treats block-related high-resolution images data. aim is to train an model automatically detect block conduct further quantitative analysis.

In this paper, we propose a methodology to accurately evaluate and compare the performance of efficient neural network building blocks for computer vision in hardware-aware manner. Our comparison uses pareto fronts based on randomly sampled networks from design space capture underlying accuracy/complexity trade-offs. We show that our approach enables matching information obtained by previous pa...

Hygroscopic effects in ionic liquids and salts general, how to suppress said hygroscopy, often needs be considered during the everyday work routine. Chemicals that decompose, undergo hydrolysis or any way change their composition when exposed air are generally not bench-stable. In this study, we synthesized a low-hygroscopic, bench-stable carbohydrate-based hydroxide salt. This new product was ...