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Wavelet-Fractal & Neuro-Fuzzy for Brain Computer Interface Application

selection, multiresolution fractal feature vector (MFFV) associated with genetic algorithm (GA), and neuro-fuzzy time-series prediction to;

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Fractal Functions, Fractal Surfaces, and Wavelets

> Connects fractal geometry with wavelet theory Includes pertinent application examples, further discusses local IFS and new;

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Soft Computing with NeuroFuzzy Systems

recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive;

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Neuro-Rehabilitation with Brain Interface

-rehabilitation applications * Integrated perspective for future wide spread integration of motor neuro-rehabilitation * Ethical issues in the use;

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Soft Computing

Three discusses the intensive developing of Soft Computing systems especially Wavelet-Neuro-Fuzzy Systems (WNFS) in Dynamic Data Mining tasks;

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Fractal and Wavelet Image Compression Techniques

This Tutorial Text provides a practical guide to image compression using fractal and wavelet techniques. Numerous computer examples are;

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Computer Science Advances

chapter presents neuro-fuzzy and cognitive researches for the development of objects on the basis of location and territory. The second chapter;

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Classification & Application of Fractals

model application for nanocomposite polymer/organoclay structures; generalised Rauzy fractals and quasiperiodic tilings; the fractal;

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Brain-Computer Interface Technologies

This book is about the field of brain-computer interfaces (BCI) and the unique and special environment of active implants that electrically;

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Brain-Computer Interface

pathways for direct communication between human brain and the computer. In the past few years, this technology has gained significant momentum;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems;

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Document Analysis And Recognition With Wavelet And Fractal Theories

representations than by traditional ways.From this perspective, the recent emergence of powerful multiscale signal representations in general and fractal;

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Neuro-Fuzzy Equalizers for Mobile Cellular Channels

Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;

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Neuro-Fuzzy Equalizers for Mobile Cellular Channels

Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a;

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Fractal Functions, Dimensions and Signal Analysis

wavelet-based denoising method for the recovery of electroencephalogram (EEG) signals contaminated by nonstationary noises is presented, and the;

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Fractal Functions, Dimensions and Signal Analysis

wavelet-based denoising method for the recovery of electroencephalogram (EEG) signals contaminated by nonstationary noises is presented, and the;

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Brain-Computer Interfacing for Assistive Robotics

best handle the unknown embedded noise within the raw EEG. Brain-Computer Interfacing for Assistive Robotics is a result of research;

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Cognitive Modeling of Human Memory and Learning

Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach will appeal to researchers in cognitive neuro;

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Application of Soft Computing and Intelligent Methods in Geophysics

networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes;

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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and

neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and;

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Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort;

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14th International Conference on Theory and Application of Fuzzy Systems and Sof

include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;

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EEG-Based Brain-Computer Interfaces

EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for;

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Fuzzy Logic-Based Modeling in Collaborative and Blended Learning

application of fuzzy logic to new forms of technology-centered education has presented new opportunities for analyzing and modeling learner behavior;

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Human-Computer Interface Technologies for the Motor Impaired

using video Provides the fundamentals of voice recognition technologies for computer and machine control applications Examines a secure and;

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Deep Neuro-Fuzzy Systems with Python

reviewing advanced neuro fuzzy models and applications. What You'll Learn Understand fuzzy logic, membership functions, fuzzy;

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A Biosystems Approach to Industrial Patient Monitoring and Diagnostic Devices

. In this Lecture, we specifically consider thosemedical devices that are computer based, and are therefore referred to as medical instruments;

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