Item Infomation


Title: 
Artificial Intelligence and Urban Block—Building the Common Language
Authors: 
Didem, Turk
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
The research focuses on the application of AI in the field of urban morphology. The research takes urban blocks as a case study and treats urban block-related high-resolution images as data. The aim is to train an AI model to automatically detect urban block to conduct further quantitative analysis.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s00004-023-00705-4
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7477
Appears in Collections
OER - Khoa học Tự nhiên
ABSTRACTS VIEWS

23

FULLTEXT VIEWS

84

Files in This Item: