When I first started working with integral field spectroscopic (IFU) data ... define the structure. This motivation led to Capivara, an unsupervised segmentation algorithm that groups regions ...

PPI, which serves as a potential bellwether for retail-level inflation in the months ahead, is starting to show some of those pressures. On the surface, the April PPI report appeared to portray a ...

The dsa-ou organisation aggregates repositories related to M269, the algorithms and data structures course of the Open University in the UK. While the repositories mainly provide tools for M269 ...

At present, target detection algorithms in this field are generally limited to processing single-temporal remote sensing data, and they cannot obtain satisfactory results when the spectra of target ...

An intensive laboratory activity will complement the lectures. Students will experiment with algorithms and data structures by writing their own implementations or by using third-party libraries. The ...

Subject-specific Skills: On completion of the module, students will be able to demonstrate: an ability to implement and use common data structures an ability to select, apply and analyse algorithms.

In the collaborative environment of the Penn State Institute for Computational and Data Sciences, John Harlim combines applied mathematics and data science to develop methods for more-accurate ...

The present study aimed at comparing predictive performance of some data mining ... and RBF algorithms were carried out using IBM SPSS 23, but MARS algorithm was specified by STATISTICA program (8.0 ...

Combining RPFMA and FAFFA with MLFMA, three algorithms RPFMA-MLFMA, FAFFA-MLFMA, and RPFMA-FAFFA-MLFMA have been developed, which are more efficient than the conventional MLFMA in 3-D electromagnetic ...

This comprehensive 7th edition of the report assesses the progressivity and regressivity ... It includes state-by-state profiles that provide baseline data to help lawmakers and the public understand ...