“SEM Clay Characterization App” is a deep learning-based app developed in MATLAB for typing and quantifying various clay minerals in SEM images of hydrocarbon-bearing rocks.
We introduce a dataset called the 'Yonkoma four-panel Cartoon Image' dataset. This dataset consists of both grayscale and color images of Yonkoma four-panel cartoons that were created between 1920 to
This is the data attached to the manuscript "Multi-stream STGAN: A Spatiotemporal Image Fusion Model with Improved Spatial Transferability". This includes the CIA and LGC data used in the paper.Relate