Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …

It is crucial to realize the municipal solid waste (MSW) classification in terms of its treatments
and disposals. Deep learning used for the classification of residual waste and wet waste …

Reservoir characterization is of great importance in oil and gas exploration and production.
To automate and improve the procedures involved in this task, several approaches in the …

Precise delineation of a salt dome's geobody in seismic data requires intelligent integration,
image fusion or combination of seismic attributes using advance methods. There are various …

In this study, a novel strategy is presented for fault enhancement in seismic images,
specifically in a time slice, through a combination of seismic attribute image reprocessing by …

Image segmentation, often based on the properties of image pixels, is a widely used method
in digital image processing and analysis to divide an image into multiple parts or areas. The …

The purpose of this research is to delineate the structures of the Lower Goru Formation,
investigate fluid properties, and clarify the hydrocarbon-prone areas through seismic …

Automatic geological interpretation, specifically modeling salt dome and fault detection, is
controversial task on seismic images from complex geological media. In advanced …

Classical YOLOv4 object detector transcends some famous object detectors in speed and
accuracy. However, despite its superior performance, it still has some limitations such as the …

Reservoir heterogeneities play a crucial role in governing reservoir performance and
management. Traditionally, detailed and inter-well heterogeneity analyses are commonly …