Pattern Recognition in Chemistry

Pattern Recognition in Chemistry

Author: Kurt Varmuza

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 232

ISBN-13: 3642931553

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Analytical chemistry of the recent years is strongly influenced by automation. Data acquisition from analytica~ instruments - and some times also controlling of instruments - by a computer are principally solved since many years. Availability of microcomputers made these tasks also feasible from the economic point of view. Besides these basic applications of computers in chemical measurements scientists developed computer programs for solving more sophisticated problems for which some kind of "intelligence" is usually supposed to be necessary. Harm less numerical experiments on this topic led to passionate discussions about the theme "which jobs cannot be done by a computer but only by human brain ?~. If this question is useful at all it should not be ans wered a priori. Application of computers in chemistry is a matter of utility, sometimes it is a social problem, but it is never a question of piety for the human brain. Automated instruments and the necessity to work on complex pro blems enhanced the development of automatic methods for the reduction and interpretation of large data sets. Numerous methods from mathematics, statistics, information theory, and computer science have been exten sively investigated for the elucidation of chemical information; a new discipline "chemometrics" has been established. Three different approaches have been used for computer-assisted interpretations of chemical data. 1. Heuristic methods try to formu late computer programs working in a similar way as a chemist would solve the problem. 2.


Pattern Recognition Applications in Engineering

Pattern Recognition Applications in Engineering

Author: Burgos, Diego Alexander Tibaduiza

Publisher: IGI Global

Published: 2019-12-27

Total Pages: 357

ISBN-13: 1799818411

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The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.


Chemometrics for Pattern Recognition

Chemometrics for Pattern Recognition

Author: Richard G. Brereton

Publisher: John Wiley & Sons

Published: 2009-09-28

Total Pages: 532

ISBN-13: 0470987251

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Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work. Included within the text are: ‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science; Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning; Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines; Representation in full colour; Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls. Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.


Dissimilarity Representation For Pattern Recognition, The: Foundations And Applications

Dissimilarity Representation For Pattern Recognition, The: Foundations And Applications

Author: Robert P W Duin

Publisher: World Scientific

Published: 2005-11-22

Total Pages: 634

ISBN-13: 9814479144

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This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition.Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and integrate by machine learning procedures. However, if the relations are captured by sets of dissimilarities, general data analysis procedures may be applied for analysis.With their detailed description of an unprecedented approach absent from traditional textbooks, the authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.


Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Author: Chi Hau Chen

Publisher: World Scientific

Published: 1999-03-12

Total Pages: 1045

ISBN-13: 9814497649

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The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.


Drug Design

Drug Design

Author: E. J. Ariëns

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 441

ISBN-13: 1483216101

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Drug Design, Volume VIII covers a critical review and new extensions of quantitative methods in drug design, the design of particular types of agents, such as synthetic sweeteners, and selective ion binding compounds. The book discusses the advances in the methodology of quantitative drug design; the application of pattern recognition to drug design; and the design of controlled drug delivery systems. The text also describes the use of receptor binding as a tool in the development of new bioactive steroids; the design of synthetic sweeteners; and the prospective assessment of environmental effects of chemicals. The design of selective ion binding macrocyclic compounds and their biological applications are also encompassed. Chemists, pharmacologists, biochemists, and people involved in drug design and manufacture will find the book invaluable.


Challenges in Green Analytical Chemistry

Challenges in Green Analytical Chemistry

Author: Salvador Garrigues

Publisher: Royal Society of Chemistry

Published: 2020-05-05

Total Pages: 398

ISBN-13: 1839160292

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Analytical techniques are employed every day in both, industry and academia. The concept of green analytical chemistry involves making analytical chemistry safer for operators, more sustainable for the environment and more economical. Improvements in the availability of renewable feedstocks, miniaturization, automated technology, and chemical recycling, make this a vibrant field of research. This new edition of Challenges in Green Analytical Chemistry presents an overview of the latest tools and techniques for improving safety and sustainability in analytical chemistry. Covering topics including solvent selection, miniaturization and metrics for the evaluation of greenness, this book is a useful resource for researchers and application laboratories interested in reducing the risks and environmental impacts of analytical methods.


TRAC: Trends in Analytical Chemistry

TRAC: Trends in Analytical Chemistry

Author: U A Th Brinkman

Publisher: Elsevier

Published: 2013-09-24

Total Pages: 417

ISBN-13: 148327456X

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TRAC: Trends in Analytical Chemistry, Volume 7 provides information pertinent to the trends in the field of analytical chemistry. This book discusses a variety of topics related to analytical chemistry, including biomolecular mass spectroscopy, affinity chromatography, electrochemical detection, nucleosides, and protein sequencing. Organized into 63 parts encompassing 158 chapters, this volume begins with an overview of the significance of quality and productivity in the analytical laboratory. This text then presents a comprehensive review on alcohol dehydrogenases, immobilization, and applications in analysis and synthesis. Other chapters consider the various tests for determining the excellence of quantitative assays available for analysts to utilize for method validation. This book discusses as well the primary challenge of neuropharmacologists to relate physiological functions to the many ligand binding sites identified in brain tissue. The final chapter deals with the fundamentals and applications of biosensors. This book is a valuable resource for analytical chemists, chemical engineers, clinical chemists, neuropharmacologists, and scientists.


Pattern Recognition

Pattern Recognition

Author: Sergios Theodoridis

Publisher: Elsevier

Published: 2003-05-15

Total Pages: 705

ISBN-13: 008051362X

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Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.*Approaches pattern recognition from the designer's point of view*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere*Supplemented by computer examples selected from applications of interest