城市人工智能与基础模型

Continuous diurnal monitoring of pollinator activity in urban rain gardens using camera traps, unsupervised machine learning algorithms, and deep learning detection: A proof-of-concept

Spatiotemporal machine learning for building demolition risk modelling

A benchmark of large language models for spatially informed proposal generation in local search for the p-median problem

Analysis of driving factors of infectious diseases in Guangdong Province, China based on machine learning and causal inference

Biologically inspired machine learning for evaluating stress recovery in urban streetscapes

Switching lane or carrying the load? A multidimensional impact analysis of government artificial intelligence application and work overload on urban public service

A holistic approach to seismic risk by integrating preparedness into hybrid deep learning and ANP-based spatial modeling: A case study of Coimbatore city, India

Nonlinear driving mechanisms of land surface temperature under the coupling of blue-green space and urbanization: An analysis based on explainable machine learning

Assessing urban waterlogging risk and nonlinear drivers in high density cities: A multi model machine learning comparative approach

Wind amplification induced by high-rise buildings and identification of local wind-prone neighborhoods using a CFD-machine learning framework

Revealing associations between urban infrastructure and U5MR in sub-Saharan Africa through interpretable machine learning

Assessing the effect of window-view distance on mental health and personal well-being in high-density urban environments using city information models and deep learning algorithms

Urban shrinkage and carbon emission prediction structures: A methodological extension using interpretable machine learning

Emotional Health Resilience and Equity in Urban Blocks During Heat Waves: Evidence from Social Sensing and Explainable Machine Learning in Shanghai

Artificial intelligence for generative urban design: A systematic literature review and multi-dimensional framework using large language models

Environmental justice and urban heat thresholds in Istanbul: An explainable machine learning approach with spatial residual diagnostics

Fine-scale urban heat mapping by machine learning downscaling of MODIS land surface temperature in a hyper-arid megacity

Architecture of a Digital Twin-Enabled Multimodal Monitoring Platform for Firefighter Safety

Assessing the Incremental Contribution of Building Morphology to Intra-urban NO₂ Variability Using Land-Use Regression and Interpretable Machine Learning

Nonlinear and heterogeneous effects of 2D/3D factors on global urban heat island using explainable spatial machine learning