This book illustrates and exemplifies methods for the creation of artificial plant models, and the application of these methods within areas such as simulation, virtual reality, botany, landscaping, and architecture. The models are combined to create gardens, parks, and even entire landscapes.

Featuring new chapters and extensive revisions throughout the book, this book explains how to use LC-MS and interpret data for various disciplines. Placing a stronger emphasis on applications than previous editions, this edition also dedicates more than two-thirds of the text to examining new developments of LC-MS in emerging application areas, including environmental, food-safety, and clinical analysis as well as proteomics, pharmaceutical drug discovery and natural products research. Each chapter examines how recent advances strategies, and technologies shaped each of these disciplines, supported by most relevant literature available.

A classic, now available in modern algebraic notation for the first time! Few books have had as much impact on chess literature as this: the first edition sold out within months, and it was immediately recognized as a masterpiece of chess instruction. Twenty years later, it remains a bestseller in the field and one of the best practical training manuals available.

Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past few decades to provide an outstanding research reference. Starting with the unified theory, the authors explain in the clearest of terms the subsequent developments. In fact, even the most modern innovations of survey sampling, both methodological and theoretical, have found a place in this concise volume. The book includes many techniques not covered adequately in most textbooks.

This book constitutes the refereed proceedings of the 10th Conference on Artificial Intelligence in Medicine in Europe, AIME 2005, held in Aberdeen, UK in July 2005. The 35 revised full papers and 34 revised short papers presented together with 2 invited contributions were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on temporal representation and reasoning, decision support systems, clinical guidelines and protocols, ontology and terminology, case-based reasoning, signal interpretation, visual mining, computer vision and imaging, knowledge management, machine learning, knowledge discovery, and data mining.

This is the introduction to PLCs for which baffled students, technicians and managers have been waiting. In this straightforward, easy-to-read guide, Bill Bolton has kept the jargon to a minimum, considered all the programming methods in the standard IEC 1131-3 - in particular ladder programming, and presented the subject in a way that is not device specific to ensure maximum applicability to courses in electronics and control systems.

In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences.

"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications.

This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications.

Assuming no previous knowledge of computer programming or numerical methods, The NEURON Book provides practical advice on how to get the most out of the NEURON software program.
Although written primarily for neuroscientists, teachers and students, readers with a background in the physical sciences or mathematics and some knowledge about brain cells and circuits, will also find it helpful. Covering details of NEURON's inner workings, and practical considerations specifying anatomical and biophysical properties to be represented in models, this book uses a problem-solving approach that includes many examples to challenge readers.

In Pictures tutorials began as part of a research study we conducted for the U.S. Department of Education. The goal: to make it easier for people with learning disabilities to learn computer subjects.
As part of the study, we created simple, illustration-based tutorials much different from the usual text-heavy how-to books. Everyone who tested them—not just people with learning disabilities—said the new tutorials enabled them to learn faster and easier than conventional materials.

This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists.Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors.

This title outlines when agent-based systems are appropriate, enumerates techniques to decompose a problem into entities that can be modeled as agents, provides a step-by-step guide to implementation, and offers hints for using simulation to design the system.