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Fusion Methods for Time-Series Classification

Time-series classification is the common theoretical background of many recognition tasks performed by computers, such as handwriting;

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Time Series Clustering and Classification

clustering and classifying different types of large datasets, including time series data. Time Series Clustering and Classification includes relevant;

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Time Series Clustering and Classification

clustering and classifying different types of large datasets, including time series data. Time Series Clustering and Classification includes;

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Integrated Approach to Safety Classification of Mechanical Components for Fusion Applications

This TECDOC is the first publication on safety classification of components for fusion applications. It highlights the existing differences;

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Inertial Confinement Fusion Driven Thermonuclear Energy

a new standard for clean nuclear power generation. Inertial Confinement Fusion techniques to enable laser-driven fusion have long been;

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Data Classification

primary aspects of data classification: Methods: The book first describes common techniques used for classification, including;

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Data Classification

primary aspects of data classification: Methods: The book first describes common techniques used for classification;

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Advances in Classification and Data Analysis

analysis Regression Models for Data Analysis Nonparametric methods SPATIAL AND TIME SERIES DATA ANALYSIS Time series analysis Spatial data analysis;

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Data Mining In Time Series Databases

presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based;

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Breath Analysis for Medical Applications

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it;

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Remote Sensing Image Fusion

A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing;

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Remote Sensing Image Fusion

A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing;

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Advanced Analysis and Learning on Temporal Data

and embeddings for time series classification, clustering or for dimensionality reduction. The second part presents approaches on;

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Statistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series;

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Nuclear Fusion

future, the role of nuclear fusion reactions for a solution of the energy problem, the requirements for releasing fusion energy and the methods;

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Structural Health Monitoring by Time Series Analysis and Statistical Distance Measures

regard, some limitations of time series modeling are dealt with. For decision-making, innovative distance-based novelty detection techniques are;

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Wavelet Neural Networks

financial modeling and financial engineering, time series prediction and construction of confidence and prediction intervals, and classification and;

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Plasma Physics and Fusion Energy

on a series of course notes from graduate courses in plasma physics and fusion energy at MIT, the text begins with an overview of world;

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Tumors of the Liver

previous series, nearly two decades ago. Examples of recent advances include the identification of novel entities, including their precursor;

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Advanced Image and Video Processing Using MATLAB

, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip;

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Multidimensional Stationary Time Series

classical results (Cramer, Wold, Kolmogorov, Wiener, Kalman, Rozanov) and up-to-date methods for dimension reduction in multidimensional time series;

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Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals

time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the;

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Statistical Learning for Big Dependent Data

large and dynamically dependent data sets. The book presents automatic procedures for modelling and forecasting large sets of time series data;

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Fusion Bonding of Polymer Composites

Fusion bonding is one of the three methods available for joining composite and dissimilar materials. While the other two, mechanical;

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Time Series in Economics and Finance

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;

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Time Series in Economics and Finance

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;

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Remote Sensing of Natural Resources

processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy;

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