Natural Language Interfaces are increasingly relevant for information systems fronting rich
structured data stores such as RDF and OWL repositories, mainly because of the conception …

With large datasets such as Linked Open Data available, there is a need for more user-friendly
interfaces which will bring the advantages of these data closer to the casual users. …

… As R is a (M*N) × (M*N) square matrix and keeping in mind that ANNs cannot operate with
complex numbers, there should be 2(M*N)² neurons in the input layer of the network. Since …

In this paper, we present an efficient Artificial Neural Network (ANN)-based model to estimate
both azimuth and elevation arrival angles of a signal source. To achieve this goal, the ANN …

Natural Language Interfaces (NLIs) are a viable, human-readable alternative to complex,
formal query languages like SPARQL, which are typically used for accessing semantically …

When researching new product ideas or filing new patents, inventors need to retrieve all
relevant pre-existing know-how and/or to exploit and enforce patents in their technological …

… The antennas are placed in an anechoic chamber at heights of 1.9 m, and at mutual distance
of 5.1 m. Since chamber gives no possibility of generating multipath signals, only the direct …

This paper presents an application of artificial neural network (ANN) based smart antenna
in two-dimensional direction-of-arrival (2-D DOA) estimation. Data model based on the …

Most question-answering systems contain a classifier module which determines a question
category, based on which each question is assigned an answer type. However, setting up …

In this paper, estimation of direction-of-arrival (DOA) of source signals employing radial basis
function neural networks (RBF-NNs) is presented. The signal model used in the algorithm …