simple and efficient method to obtained RTM SOGs. Based on attribute migration, this paper applied the constrained least-squares inversion instead of division to get a more accurate RTM SOGs, uses ...

After decades of frustration, machine-learning tools are unlocking a treasure trove of acoustic data for ecologists.

SFDMU is a cutting-edge Salesforce data migration tool for seamless org population from other orgs or CSV files. It handles all CRUD operations on multiple related objects in one go. The SFDMU GUI ...

Madeleine Sumption receives funding from the Economic and Social Research Council and various philanthropic foundations. In May last year, we learned that net migration to the UK (the number of ...

Then, by incorporating experimental X-ray diffraction data, they enhanced the consistency between experimental data and simulations. "We did not believe this method was promising," says Kubo.

Different methodological solutions to common research problems will be presented and discussed, covering both quantitative and qualitative methods, including ethnographic research and visual ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo ...

Legal identity facilitates regular migration channels, enhances the agency of all to exercise their rights, and enables rights-based return. IOM will support States to transition to the use of digital ...

It utilizes point cloud data generated by LiDAR to help autonomous vehicles identify surrounding objects. This technology is essential for the safety and efficiency of autonomous driving. Recently, a ...

Data science is a method to glean insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning (ML). For most organizations, it’s ...