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Chapter
The Importance of Frontal Sinus Surgery in Craniofacial Resection. Endoscopic, Open, and Combined Approaches
Craniofacial approaches are designed to safely remove the area between the roof of the paranasal sinuses/nasal fossa and the base of the anterior fossa, that is, the upper part of the ethmoids, the planum sphe...
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Chapter
Synthesis of Oxygenated Heterocyclic Compounds via Gold-Catalyzed Functionalization of π-Systems
During the last decade, there has been an impressive amount of new reactions catalyzed by gold (I or III) complexes, many of which lead to oxygen heterocycles in novel, practical, and efficient ways. In this c...
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Chapter and Conference Paper
Instant Customized Summaries Streaming: A Service for Immediate Awareness of New Video Content
This paper presents the Instant Customized Summaries Streaming service, a multimedia service able to deliver customized video summaries with a minimum delay after the original content has been uploaded to a vi...
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Chapter and Conference Paper
Cognitive Wireless Sensor Network Device for AAL Scenarios
Cognitive Networks appear as solution to avoid AAL scenarios problems like wireless interferences, secure a reliable communications, power consumption or different Quality of Service application needs. In this...
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Chapter
Gold-Catalyzed Cycloadditions Involving Allenes: Mechanistic Insights from Theoretical Studies
Allenes, owing to their special structural characteristics related to the presence of two π bonds in a formally strained manner, are particularly prone to undergo gold-activated reactions, particularly cycload...
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Chapter and Conference Paper
Virtual Distributed Simulation Platform for the Study and Optimization of Future Beyond 3G Heterogeneous Systems
This paper proposes and assesses a new distributed simulation platform for heterogeneous wireless communications. The objective of the ICARUS platform is to investigate cross-layer and cross-system algorithms ...
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Chapter
Local Estimation of Spatial Autocorrelation Processes
The difficulties caused by the lack of stability in the parameters of an econometric model are well known: biased and inconsistent estimators, misleading tests and, in general, wrong inference. Their importanc...
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Chapter and Conference Paper
Towards a Fully MPEG-21 Compliant Adaptation Engine: Complementary Description Tools and Architectural Models
This paper develops a number of aspects of metadata-driven adaptation within the MPEG-21 framework that we consider are not clearly covered in the standard. Specifically, the paper introduces three complementa...
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Chapter and Conference Paper
CAIN-21: An Extensible and Metadata-Driven Multimedia Adaptation Engine in the MPEG-21 Framework
This paper presents the CAIN-21 multimedia adaptation engine, which facilitates the integration of pluggable multimedia adaptation modules, chooses the chain of adaptations to perform and manages its execution...
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Chapter and Conference Paper
Multimedia Content Adaptation Within the CAIN Framework Via Constraints Satisfaction and Optimization
This paper presents a constraints programming based approach to decide which of a set of available content adaptation tools and parameters should be selected in order to perform the best adaptation of a media ...
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Chapter and Conference Paper
Defect Detection in Random Colour Textures Using the MIA T2 Defect Maps
In this paper we present a new approach for the detection of defects in random colour textures. This approach is based on the use of the T2 statistic and it is derived from the MIA strategy (Multivariate Image An...
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Chapter and Conference Paper
Fast Surface Grading Using Color Statistics in the CIE Lab Space
In this paper we approach the problem of fast surface grading of flat pieces decorated with random patterns. The proposed method is based on the use of global statistics of color computed in the CIE Lab space....
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Chapter and Conference Paper
Surface Grading Using Soft Colour-Texture Descriptors
This paper presents a new approach to the question of surface grading based on soft colour-texture descriptors and well known classifiers. These descriptors come from global image statistics computed in perceptua...