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Dimension-Based Quality Analysis and Prediction for Videotelephony

the underlying quality dimensions and describes a method for subjective evaluation as well as the instrumental estimation of video quality;

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Dimension-Based Quality Analysis and Prediction for Videotelephony

the underlying quality dimensions and describes a method for subjective evaluation as well as the instrumental estimation of video quality;

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Audiovisual Quality Assessment and Prediction for Videotelephony

communication like videotelephony. It also extends the current framework for the parametric prediction of audiovisual call quality. The book addresses;

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Rank-Based Methods for Shrinkage and Selection

Rank-Based Methods for Shrinkage and Selection A practical and hands-on guide to the theory and methodology of statistical estimation based;

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Prediction of Protein Structures, Functions, and Interactions

for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction;

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Trust-based Collective View Prediction

of the whole community. Content-based recommendation and collaborative filtering are two mainstream collective view prediction techniques. They;

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Double pass Optical Quality Analysis for the Clinical Practice of Cataract

This book introduces the principle, main parameters, acquisition mode and operation procedure of Optical Quality Analysis System II (OQAS;

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Clinical Prediction Models

for meta-analysis to summarize results from randomized controlled trials; similarly prediction models may summarize the effects of predictors;

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Methods in Proteome and Protein Analysis

Following the succesful publication of Proteome and Protein Analysis in 2000, which was based on a former MPSA (Methods in Protein;

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Water Quality Management

, analysis of the existing data and prediction of future of water quality is vital. The current volume first defines the importance of water quality;

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Semantic Kriging for Spatio-temporal Prediction

analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.;

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Semantic Kriging for Spatio temporal Prediction

analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.;

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Structural Safety and Its Quality Assurance

; Reliability Analysis; Reliability-Based Design; Reliability-Based Service Life Prediction and Durability in Structural Safety Assessment; Soils and;

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Numerical Weather & Climate Prediction

This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and;

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Understanding Power Quality Problems

mathematical techniques for practical solutions to these disturbances. From UNDERSTANDING AND SOLVING POWER QUALITY PROBLEMS you will gain important;

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Dynamic Prediction in Clinical Survival Analysis

cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards;

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Computational Intelligence-based Time Series Analysis

prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a;

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Intelligent Data Analysis for COVID 19 Pandemic

learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition;

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Tensor Computation for Data Analysis

computations, main tensor decompositions and their properties. Based on them, a series of tensor-based data analysis techniques are presented as the;

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IMPROVE Innovative Modelling Approaches for Production Systems to Raise Valida

This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based;

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Water Quality Modeling

-based understanding of the water quality prediction process and evaluates the merits and cost effectiveness in using water quality models under;

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Foundations of Time Series Analysis and Prediction Theory

This book provides a mathematical foundation for prediction theory and time series analysis using the idea of regression (prediction) and;

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Developing VO2max Prediction Models Using Machine Learning Methods

multiple correlation coefficients (R's) and standard error of estimates (SEE's). The results show that SVM-based VO2max prediction models perform;

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Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms

analysis. Then, they extend the approach of least mean squares (LMS) algorithm and its sign-based realizations with normalization factor for DNA;

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Multidimensional Stationary Time Series

, linear algebra, and also in real, complex and functional analysis. For this, the cited literature and the Appendix contain all necessary material;

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Transportation Technologies

of Swedish stakeholders; Spanish initiative for the automation in urban transport: AutoMOST; fuzzy analysis and evaluation of public transport;

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Intelligent Data Analysis for e-Learning

of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security;

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