In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …

Abstract Generative Adversarial Networks (GANs) are a type of deep neural network that
have achieved many state-of-the-art results for generative tasks. GANs can be useful in the …

The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

In the mass appraisal of properties, Machine Learning (ML) algorithms have produced
effective and promising results. Analysts use various algorithms to train their models with …

Urban development if not planned and managed adequately can be unsustainable. Urban
growth models have been a powerful toolkit to help tackling this challenge. In this paper, we …

The incorporation of generative artificial intelligence (AI) systems, such as ChatGPT, holds
great potential in reshaping diverse facets of architectural engineering. This research …

Abstract In summer, Ozone (O 3) pollution and urban heat island (UHI) pose serious health
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …

Artificial intelligence (AI) deployment is exceedingly relevant to local governments, for
example, in planning and delivering urban services. AI adoption in urban services, however …

Soil is an important resource for the development of life and the quality of natural
ecosystems. Oil exploitation requires the implementation of complementary infrastructure …

In a digitalized era and with the rapid growth of computational skills and advancements,
artificial intelligence and Machine Learning uses in various applications are gaining a rising …