… New technologies, such as artificial intelligence (AI) and machine learning (ML) have made
it possible to model and predict the nonlinear aspects of urban land dynamics. AI and ML are …

… of ANNs or the current research gaps in artificial intelligence, but it aims to emphasize on …
in the identification of the driving forces behind urban land use dynamics. On the other hand, …

… Since rapidly growing urban areas are highly dynamic, this suggests that … this review is on
methods to detect and monitor urban land change, the growing inventory of global urban land …

… and detailed review of spatial LUCC modeling using dynamic, statistical, … land-use and
urban space (Schug et al. 2018). ML models are an important component of artificial intelligence. …

… Nonlinear effects, stochastic dynamics, and hydraulic constraints are challenging in …
Artificial intelligence methods have been applied in urban water resource planning primarily …

… In this article, we provide a systematic review of relevant … review the publications included
in this literature review. … This review focuses on investigating recent GEE work that has …

… Next, we review the literature related to using AI applications for sustainability solutions,
discuss related challenges, present our roadmap, and list propositions for research and practice, …

… This paper presents the first review of AI-based methodologies and data fusion strategies
used for environmental monitoring, to the best of the authors’ knowledge. The first part of the …

Artificial intelligence (AI) is a powerful technology with an increasing popularity and … to
artificial creativity and manufacturing. Although many of these areas closely relate to the urban …

… enhancing model intelligence level, scaling up operation, and reducing costs in many
subdomains amid the exponentially accumulated datasets and the promising artificial intelligence (…