Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technolo
This work addresses classification using mixture models broadly. Unlike traditional treatments of the subject that heavily focus on unsupervised approaches, this book gives attention to unsupervised,
Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select
Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most s
This work has been revised and updated to include the Anglo-American Cataloguing Rules (2nd ed), the Dewey Decimal System Classification (21st ed) and the Library of Congress Classification Schedules.
This book includes new processes to capture organics in raw sewage using the AB process and treating waste activated sludge using biological, physical, mechanical, chemical methods to increase biogas
For structural engineers and inspectors using cameras for inspection - especially underwater inspections of offshore and marine structures using image-based methods. How to obtain imagery, image proce
Analytical Methods for Polymer Characterization presents a collection of methods for polymer analysis. Topics include chromatographic methods (gas chromatography, inverse gas chromatography, and pyrol
This book provides an interdisciplinary and integrative overview of environmental problem-solving using statistical methods. It shows how statistics can be used to solve problems related to food, wate
This book is a comprehensive overview of methods of characterizing the mechanical properties of engineering materials using specimen sizes in the micro-scale regime (0.3-5.0 mm). A range of issues ass
As one of the most promising biometric technologies, vein pattern recognition (VPR) is quickly taking root around the world and may soon dominate applications where people focus is key. Among the reas
Demonstrating the breadth and depth of growth in the field since the publication of the popular first edition, Image Analysis, Classification and Change Detection in Remote Sensing, with Algorithms fo
UNESCO-IHE PhD ThesisIn this work, several modelling approaches are explored to represent spatial pattern dynamics of aquatic populations in aquatic ecosystems by the combination of models, knowledge
Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It co
The broad range of G protein-coupled receptors (GPCRs) encompasses all areas of modern medicine and have an enormous impact on the process of drug development. Using disease-oriented methods to cover
Addressing foot lengthening, metatarsal lengthening, and lengthening of bone stumps of the foot, this reference reveals advanced methods of correcting foot deformities using the Ilizarov technique. To
NUMGE 2018 is the ninth in a series of conferences on Numerical Methods in Geotechnical Engineering organized by the ERTC7 under the auspices of the International Society for Soil Mechanics and Geotec
This book deals with matrix methods of structural analysis for linearly elastic framed structures. It starts with background of matrix analysis of structures followed by procedure to develop force-dis
This book explores modern many-body perturbative and non-perturbative ab initio methods that have become the dominant and useful approaches in determining molecular structure, properties and interacti
"One of the greatest changes in the sports world during the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. This boo
Although there are countless books on statistics, few are dedicated to the application of statistical methods to software engineering.Simple Statistical Methods for Software Engineering: Data and Patt
Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparamet
Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While
Generating a quality finite element mesh is difficult and often very time-consuming. Mesh-free methods operations can also be complicated and quite costly in terms of computational effort and resource
Assuming no prior knowledge of plasma physics or numerical methods, Computational Methods in Plasma Physics covers the computational mathematics and techniques needed to simulate magnetically confined
Numerical Methods in Geotechnical Engineering contains 153 scientific papers presented at the 7th European Conference on Numerical Methods in Geotechnical Engineering, NUMGE 2010, held at Norwegian Un
The tools necessary for correctly identifying complex coronary lesions and plaques. The data required to accurately diagnose rare disease progression and patterns. With Diagnostic Methods in the Cardi
Numerical and Analytical Methods with MATLABR presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve sy
Major League Winners: Using Sports and Cultural Centers as Tools for Economic Development chronicles the challenges overcome by civic leaders who are using the development of sports and cultural venue
Optical Methods of Measurement: Wholefield Techniques, Second Edition provides a comprehensive collection of wholefield optical measurement techniques for engineering applications. Along with the reor
This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and
Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come AliveTaking an accessible, nonmathematical approach to this field, Sequential Methods and Thei
Difference Methods for Singular Perturbation Problems focuses on the development of robust difference schemes for wide classes of boundary value problems. It justifies the ε-uniform convergence
Originally published in 1994, the first edition of Field Sampling Methods for Remedial Investigations soon became a premier resource in the field. The “Princeton Groundwater” course design
Objective establishment of the truth is the goal of any good crime scene investigator. This demands a consideration of all evidence available using proven scientific methodologies to establish objecti
The first book in two decades to address this multi-faceted field, The Toxicology and Biochemistry of Insecticides provides the most up-to-date information on insecticide classification, formulation,
Focusing on the application of mathematics to chemical engineering, Applied Mathematical Methods for Chemical Engineers, Second Edition addresses the setup and verification of mathematical models usin
Following recent guidelines set by the International Classification of Headache Disorders, this reference presents the most current diagnostic and treatment protocols for migraine and other headache c
Focusing on the science and not the politics, Alternative Toxicological Methods highlights the recent progress made in developing and validating replacement, reduction, and refinement alternatives to
Based on the classification system developed by the International Headache Society, this second edition provides those interested in headache with an up-to-date compendium of current opinion. Experts
