Around the globe, seawater intrusion in the coastal aquifer is a significant problem.
Excessive groundwater extraction because of population growth, industrialization, tourism …

Population growth and changing climate continue to impact on the availability of natural
resources. Urbanization of vulnerable coastal margins can place serious demands on …

One main application of electrical resistivity tomography (ERT) is the non-invasive detection
of geological or hydrological structures in the shallow subsurface. This paper investigates …

The need for water security in different regions of the world has led to the deployment of
remote sensing (RS) and geographic information systems (GIS) as decision support tools …

Soil carbon-to-nitrogen ratio (C: N) represents an indicator of soil quality and fertility, having
a major impact on agricultural land management for organic farming. Determination of soil …

An interpretation approach for analysis of electrical resistivity and chargeability inverse
models generated at two upgraded semi-aerobic landfill sites was developed. The inverse …

We evaluate the use of a fuzzy c-means clustering procedure to improve an inverted 2D
resistivity model within the iterative error minimization procedure. The algorithm is coded in …

This study integrates the application of Dempster–Shafer-driven evidential belief function
(DS-EBF) methodology with remote sensing and geographic information system techniques …

In this paper, geophysical technique ERT (Electrical Resistivity Tomography) supported by
geological methods (macroscopic and microscopic observations) have been used to study …

In this study, we suggested using a convolutional neural network (CNN) based algorithm to
enhance two-dimensional (2D) Direct Current Resistivity (DCR) data inversion results. We …