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Artificial intelligence in theory and practice II IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy /
Computer-aided innovation (CAI) IFIP 20th World Computer Congress, Proceedings of the Second Topical Session on Computer-Aided Innovation, WG 5.4/TC 5 Computer-Aided Innovation, September 7-10, 2008, Milano, Italy /

Fifth IFIP International Conference on Theoretical Computer Science - TCS 2008 IFIP 20th World Computer Congress, TC 1, Foundations of Computer Science, September 7-10, 2008, Milano, Italy /
Mathematical foundations of computer science 2009 34th international symposium, MFCS 2009, Novy Smokovec, High Tatras, Slovakia, August 24 - 28, 2009 : proceedings /

Computer network security Fourth International Conference on Mathematical Methods, Models and Architectures for Computer Network Security, MMM-ACNS 2007, St. Petersburg, Russia, September 13-15, 2007, Proceedings /
Mobile and wireless communication networks IFIP 19th World Computer Congress, TC-6, 8th IFIP/IEEE Conference on Mobile and Wireless Communications Networks, August 20-25, 2006, Santiago, Chile /

Spectroscopic, computational modeling and cytotoxicity of a series of meso-phenyl and meso-thienyl-BODIPYs
Non-linear auto-regressive models for cross-frequency coupling in neural time series

Modeling time in computing
Signatures of Depression in Non-Stationary Biometric Time Series

Computational Drug Repositioning Using Continuous Self-Controlled Case Series
Complex models and computational methods in statistics

Stability of a Series of BODIPYs in Acidic Conditions: An Experimental and Computational Study into the Role of the Substituents at Boron
The Volterra Functional Series is a Viable Alternative to Kinetic Models for Synaptic Modeling -Calibration and Benchmarking

Computational Modeling of the Electrochemical System of Lipase Activity Detection
Correction for Resolution Non-Uniformities Caused by Anode Angulation in Computed Tomography

The mortality modeling of covid-19 patients using a combined time series model and evolutionary algorithm
The SU(3) spin model with chemical potential by series expansion techniques

A computationally efficient method for identification of steady state in time series data from ship monitoring
A Computational Model Predicting Disruption of Blood Vessel Development

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