… Here we review the advances of EULUC mapping research … of remote sensing and artificial
intelligence over the recent … modeling of the dynamic urbanization and land-use changes, …

… This study integrates the Artificial Neural Network (ANN) into CA-MC to incorporate several
driving forces that highly impact land-use change. The research utilizes different socio-…

… They employed Artificial Neural Network (ANN) algorithms to the textural applied images for
… images are capable of land cover mapping and assessing change dynamics, high spatial …

… Driven by the demands of comprehensive records of urban land use land cover dynamics,
this study aims to generate annual maps of urban LCLU at 15-m resolution by a multilevel …

… These characteristics of fuzzy ARTMAP are identical to the artificial neural network. …
classifier for LULC modelling in the highly dynamic charland-dominated areas. Furthermore…

… , this review article provides valuable … city programs and technologies have focused on
collecting large amounts of data and creating solutions that tackle the complexities and dynamics …

… innovation discourse by focusing on local government artificial intelligence (AI) … urban
innovation. The statements made in this perspective paper are based on a thorough review of the …

… review included a search of peer-reviewed publications on Web of Science to evaluate the
application of artificial intelligence, machine learning… “artificial intelligence”, “machine learning…

… interpreting the causes and consequences of land use dynamics and support policy-makers …
Artificial neural networks (ANNs) are a basic component of the theory of artificial intelligence…

… How to effectively explore the dynamic mechanism of urban land use changes at fine scales
… logistic regression (LR)-VCA, artificial neural network (ANN)-VCA and random forest (RF)-…