Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…While individual studies have explored the impact of factors like groundwater depletion and soil characteristics, comprehensive research that simultaneously examines multiple influencing variables remains limited.The advancement of remote sensing technologies, particularly radar interferometry (InSAR), has provided researchers with powerful tools for subsidence monitoring. InSAR techniques allow for high-precision measurements of surface deformation across large areas, making them invaluable in understanding and modeling subsidence patterns. …”
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A Sociological Study of Monetary Attitudes among Citizens of Tehran by Nahid Abdoli, Asadollah Babaiefard

“…Over time, various scales, variables, and tools have been developed to examine these attitudes and behaviors. …”
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Mapping the global distribution of lead and its isotopes in seawater with explainable machine learning by A. Olivelli, A. Olivelli, A. Olivelli, R. Arcucci, M. Rehkämper, T. van de Flierdt

“…<p>Lead (Pb) and its isotopes are powerful tools for studying the pathways of Pb pollution from land to sea and, simultaneously, investigating biogeochemical processes in the ocean. …”
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