… This study monitored the changes in LU/LC dynamics from 2000 to 2020 and simulated
the future changes for 2040 in Rajshahi city. This study can help the urban planners and …

… machine learning, deep learning, and time series analysis. This article reviewed various
advanced machine learning techniques, Deep learning techniques, and time series algorithms. …

… spatiotemporal land use dynamics … other artificial intelligence algorithms to obtain better
simulation accuracy include: (1) Combination with the agent-based model. The goal of intelligent …

… , dynamic and complex nature of air pollutants. In the past few years, artificial intelligence
(AI)… pollution forecasting namely Artificial Neural Networks (ANN), Deep Neural Network (DNN), …

… Simulation and prediction of LST values for the next 10 years were carried out using nonlinear
autoregressive exogenous (NARX) artificial neural network (ANN) model. The inputs to …

… Although several literature reviews of SC research have … This paper conducts a scientometric
review of the progressively … and longitudinal large-scale review of the most recent literature …

… This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

… The Cellular Automata (CA) and the Artificial Neural Network (ANN) machine learning …
Therefore, it is essential to do a simulation which will show future LULC dynamics. The aim …

… the probability of cultivated land dynamics and cultivated land suitability map in a driving …
to follow the periodic master plan review culture of the city administration. The changes over the …

… AI and ML allow for more dynamic utilization of different bandwidths… Artificial Intelligence
(AI) to assist in the self-regulation of cities as living systems. If we think of traditional forms of city …