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Adiabatic Shear: Pre- and Post-Critical Dynamic Plasticity Modelling and Study of Impact Penetration. Heat Generation in

Adiabatic Shear: Pre- and Post-Critical Dynamic Plasticity Modelling and Study of Impact Penetration. Heat Generation in

Patrice Longère, André Dragon | Science (Academic)
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Format: PDF
Published: Dec 2013
Downloads: 19
Pages: 31

A study of the pre- and post-Critical Dynamic Plasticity Model and Impact Penetration in the context of heat generation.

Dynamics and Control of Multibody Systems

Dynamics and Control of Multibody Systems

Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki | Science (Academic)
Rating:     Rated: 1 times
Format: PDF
Published: Dec 2013
Downloads: 52
Pages: 31

A Study on the Physics-based simulation on a popular approach for realistic animation and analysis of rigid and articulated bodies in motion.


Dual-Periodic Photonic Crystal Structures

Dual-Periodic Photonic Crystal Structures

Alexey Yamilov, Mark Herrera | Science (Academic)
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Format: PDF
Published: Dec 2013
Downloads: 18
Pages: 32

A study on the optical properties of dual-periodic photonic (super-)structures.

Similarity Discriminant Analysis

Similarity Discriminant Analysis

Luca Cazzanti | Science (Academic)
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Format: PDF
Published: Dec 2013
Downloads: 16
Pages: 33

A study on similarity discriminant analysis (SDA), a new framework for similarity based classification and its defining characteristics: (a) similarity-based; and (2) generative.

Adaptive Estimation and Control for Systems with Parametric and Nonparametric Uncertainties

Adaptive Estimation and Control for Systems with Parametric and Nonparametric Uncertainties

Hongbin Ma, Kai-Yew Lum | Science (Academic)
Rating:     Rated: 1 times
Format: PDF
Published: Nov 2013
Downloads: 52
Pages: 51

In this chapter, we have formulated and discussed the adaptive estimation and control problems for a class of semi-parametric models with both parametric uncertainty and nonparametric uncertainty.


Hybrid Clustering for Validation and Improvement of Subject-Classification Schemes

Hybrid Clustering for Validation and Improvement of Subject-Classification Schemes

Frizo Janssens, Lin Zhang, Wolfgang Glänzel | Science (Academic)
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Format: PDF
Published: Dec 2013
Downloads: 11
Pages: 31

A study to compare (hybrid) cluster techniques for cognitive mapping with traditional ‘intellectual’ subject-classifications schemes.

Social Data Mining to Improve Bioinspired Intelligent Systems

Social Data Mining to Improve Bioinspired Intelligent Systems

Alberto Ochoa, Arturo Hernández, Saúl Go | Science (Academic)
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Format: PDF
Published: Dec 2013
Downloads: 62
Pages: 31

A study on the implementation of social data mining to improve results in bioinspired intelligent systems using generation of clusters, associative rules; decision trees, associated models, dioramas and multivariable analysis for obtain knowledge about any issue related with a topic.

Load Time-Series Classification Based on Pattern Recognition Methods

Load Time-Series Classification Based on Pattern Recognition Methods

George J. Tsekouras, Anastasios D. Salis, Maria A. | Science (Academic)
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Format: PDF
Published: Nov 2013
Downloads: 36
Pages: 73

In this chapter pattern recognition methodologies for the study of the load time series were presented. Specifically, the first methodology deals with the classification of the daily chronological load curves of each large electricity customer, in order to estimate his typical days and his...


Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems

Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems

Rafal Drezewski, Leszek Siwik | Science (Academic)
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Format: PDF
Published: Dec 2013
Downloads: 34
Pages: 31

During last 25 years multi-objective optimization has been in the limelight of researchers. Because of practical importance and applications of multi-objective optimization as the most natural way of decision making and real-life optimizing method--growing interests of researchers in this very...

Theory and Applications of Simulated Annealing for Nonlinear Constrained Optimization

Theory and Applications of Simulated Annealing for Nonlinear Constrained Optimization

Benjamin W. Wah, Yixin Chen, Tao Wang | Science (Academic)
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Format: PDF
Published: Dec 2013
Downloads: 39
Pages: 33

A study on constrained simulated annealing (CSA) and constraintpartitione simulated annealing (CPSA), two dynamic-penalty methods for finding constrained global minima of discrete constrained optimization problems based on the theory of extended saddle points (ESPs).

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