Science (Academic)
Turbulence, Vibrations, Noise and Fluid Instabilities. Practical Approach.
A study to address the issues on turbulence, vibrations, noise and fluid instabilities to various applications.
Adiabatic Shear: Pre- and Post-Critical Dynamic Plasticity Modelling and Study of Impact Penetration. Heat Generation in
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
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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
A study on the optical properties of dual-periodic photonic (super-)structures.
Similarity Discriminant Analysis
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
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
A study to compare (hybrid) cluster techniques for cognitive mapping with traditional ‘intellectual’ subject-classifications schemes.
Social Data Mining to Improve Bioinspired Intelligent Systems
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
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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
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...