Machine learning aided multiscale magnetostatics

Edge elements for magnetostatics

Edge-elements are introduced and discussed in the context of complementarity, a desirable characteristic of numerical methods, by which solutions which are equally satisfactory as regards both fields b and h are obtained. By making the vector potential approach easier than with standard nodal elements, edge-elements enhance complementarity. We discuss comparative merits of both kinds of elements.

Machine Learning-aided, Robust Wideband Spectrum Sensing for Cognitive Radios

Bilingual Machine-Aided Indexing

Abstract The proliferation of multilingual documentation in our Information Society has become a common phenomenon. This documentation is usually categorised by hand, entailing a time-consuming and arduous burden. This is particularly true in the case of keyword assignment, in which a list of keywords (descriptors) from a controlled vocabulary (thesaurus) is assigned to a document. A possible s...

Machine Translation and Machine‐Aided Translation

The recent report for the Commission of the European Communities on current multilingual activities in the field of scientific and technical information 1 and the 1977 conference on the same theme 2 both included substantial sections on operational and experimental machine translation systems, and in its Plan of action 3 the Commission announced its intention to introduce an operational machine...

Machine-Aided Indexing at NASA

This report describes the NASA Lexical Dictionary (NLD), a machine-aided indexing system used online at the National Aeronautics and Space Administration's Center for AeroSpace Information (CASI). This system automatically suggests a set of candidate terms from NASA's controlled vocabulary for any designated natural language text input. The system is comprised of a text processor that is based ...