This thesis integrates hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain cognition. Exploration of these brain mechanisms requires both structural and functional knowledge to (i) reconstruct the spatial distribution of the activity, (ii) to estimate…

We show how to interoperate, semantically and inferentially, between the leading Semantic Web approaches to rules (RuleML Logic Programs) and ontologies (OWL/DAML+OIL Description Logic) via analyzing their expressive intersection. To do so, we define a new intermediate knowledge representation (KR)…

The construction of expert problem-solving systems requires the development of techniques for using modular representations of knowledge without encountering combinatorial explosions in the solution effort. This report describes an approach to dealing with this problem based on making some knowledge…

Se presentan los aspectos relacionados con la gestión del Servicio al cliente de un establecimiento comercial. Se dedica especial atención al modelo de deficiencias y a revisar multitud de opciones que tienen los establecimientos para ofrecer un buen servicio a…

With the advancement of technology, we are able to collect, store, and transmit an ever-increasing volume of data. However, our ability to extract useful patterns from this massive amount of data is still lagging behind. Machine learning and signal processing…

The purpose of this study is to assess the technical-tactical knowledge of high performance soccer players. The sport performance of sixteen 14-year-olds who play for the Spanish soccer club Albacete Balompie was analysed in a modified game as “seven-a-side match”…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…

This article reviews the most significant milestones
in CAD methodologies for intelligent EM-based modeling and
design optimization using artificial neural networks and space
mapping. We consider knowledge-based and automatic neural
network model generation based on advanced data sampling
algorithms. Computationally…

This dissertation is a history of astronomy in three cultural locations in late Ottoman Egypt: the scholarly culture of Muslim ulama, the state institution of the Viceregal Observatory, and the Arabic press. Through an interwoven history of these cultures, the…

We examine semantic interoperability problems in the fixed income securities industry
and propose a knowledge representation architecture for context interchange
mediation to support dynamic integration of autonomous database, web, and
procedural sources of information. For sources and…