A team of researchers from The University of Texas at Austin (UT), Lawrence Livermore National Laboratory (LLNL), and Scripps ...

The initiative will leverage 2D-cubed technology, which converts 2D seismic data into a regional-scale 3D volume.

Abstract: This paper proposes an urban and mobility-based Digital Twin that provides the representation of an urban scenario with both real and simulated mobility data of vehicles, 2-wheelers and ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

Python dominates computer vision with its vast array of open-source libraries and active community support. These tools handle key tasks, such as image detection, segmentation, and feature extraction.

The National Oceanic and Atmospheric Administration is halting a contract that makes it possible for the federal agency to accurately monitor for potential tsunamis in Alaska and quickly warn at-risk ...

Abstract: Seismic imaging from sparsely acquired data faces challenges such as low image quality, discontinuities, and migration swing artifacts. Existing convolutional neural network (CNN)-based ...

This comprehensive course covers the fundamental concepts and practical techniques of Pandas, the essential library for data manipulation and analysis in Python. Learn to create, manipulate, and ...