Science (Academic) Books
Near-Field Opto-Chemical Sensors
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A review in the technological steps in the implementation of a novel sensing mechanism arising from near-field effects in confined domains constituted by particle layers of tin dioxide with size approaching the optical wavelength.
Radio Occultation Method for Remote Sensing of the Atmosphere and Ionosphere
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This book is devoted to the presentation of radio occultation (RO) remote sensing as a global method of monitoring of the earth's atmosphere and ionosphere.
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.