| The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS, including its subseries LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work, research projects, technical reports, etc.) |
| Invited Papers and Talks Analysis of Automated Auctions Advanced Mixed Reality Technologies for Surveillance and Risk Prevention Application Requirements Engineering as a Key to Holistic Software Quality Invited Talks Problems and Challenges of Image-Guided Neurosurgical Navigation and Intervention Information and Communication Technologies in the EU's Seventh Framework Programme Algorithms and Theory The Greedy Prepend Algorithm for Decision List Induction Heuristics for Minimum Brauer Chain Problem Dispatching Rules for Allocation of Component Types to Machines in the Automated Assembly of Printed Circuit Boards Heuristic Approach to Schedule Crew for a Regional Airline Automatic Segmentation of the Liver in CT Images Using a Model of Approximate Contour Unambiguous 3D Measurements by a Multi-period Phase Shift Method Hybrid Techniques for Dynamic Optimization Problems Minimizing the Search Space for Shape Retrieval Algorithms Decision Support for Packing in Warehouses A Fast Partial Distortion Elimination Algorithm Using Selective Matching Scan Variable Neighborhood Search for the Orienteering Problem : Bioinformatics Extracting Gene Regulation Information from Microarray Time-Series Data Using Hidden Markov Models Asymptotical Lower Limits on Required Number of Examples for Learning Boolean Networks Modified Association Rule Mining Approach for the MHC-Peptide Binding Problem Prediction and Classification for GPCR Sequences Based on Ligand Specific Features …… Computational Intelligence Compurer Architecture Computer Graphics Computer Networks Computer Vision Data Mining Databases Embedded Systems Information Retrieval Mobile Computing Parallel and Distributed Computing Performance Evaluation Security and Cryptography Software Engineering Author Index |
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