Learn IT - Books tags uncertainties

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)

Springer, 2009

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and...

Fuzzy Modeling with Spatial Information for Geographic Problems

Springer, 2005

"Fuzzy Modelling … is a collection of papers of diverse but interrelated topics on the use of fuzzy logic … . The reader is given enough information and references … . this book will provide an excellent background on fuzzy logic and how it can be applied to a variety of spatial problems. It is also a valuable information...

Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles (Advances in Industrial Control)

Springer, 2009

Unmanned aerial vehicles (UAVs) offer an incomparable means of gathering intelligence and carrying out missions without needing an onboard human pilot. The benefits are considerable in terms of cost, efficiency, and reduced pilot risk.

In order to complete a mission efficiently and with a high level of safety and security, the following key...

Quantum Mechanics and Quantum Information

John Wiley & Sons, 2013

A thorough definition of the basic concepts of quantum mechanics and quantum information and their interrelations.

Alongside a thorough definition of the basic concepts and their interrelations, backed by numerous examples, this textbook features a rare discussion of the quantum information theory. It also...

Better Business Decisions from Data: Statistical Analysis for Professional Success

Apress, 2014

Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you’re a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data:...

Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design

Information Science Publishing, 2009

Today, fuzzy methods are of common use as they provide tools to handle data sets in a relevant, robust, and interpretable way, making it possible to cope with both imprecision and uncertainties. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents up-to-date techniques for addressing data...

Computational Intelligence in Medical Imaging: Techniques and Applications

CRC Press, 2009

CI Techniques & Algorithms for a Variety of Medical Imaging Situations

Documents recent advances and stimulates further research

A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent...

Environmental Foresight and Models: A Manifesto

Elsevier Limited, 2002

Policy-makers and the public, it has famously been said, are more interested in the possibility of non-linear dislocations and surprises in the behaviour of the environment than in smooth extrapolations of current trends. The International Task Force in Forecasting Environmental Change (1993-1998) dedicated its work to developing procedures...

Environmental Chemistry and Toxicology of Mercury

John Wiley & Sons, 2012

The book that looks at mercury's impact on the planet today

Recent research by the EPA has concluded that one in six women of childbearing age have unsafe levels of mercury in their bodies, which puts 630,000 newborn babies each year at risk of neurological impairment. Mercury poses severe risks to the health of animals and...

Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Springer, 2009

Modeling problems in this book are addressed mainly from the computational viewpoint. The primary concerns are how to define an objective function for the optimal solution to a image analysis or computer vision problem and how to find the optimal solution. The solution is defined in an optimization sense because the perfect solution is...

Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)

Springer, 2007

This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for...

Swarming Landscapes: The Art of Designing For Climate Adaptation (Advances in Global Change Research)

Springer, 2012

This book advocates a fresh approach to planning that anticipates, rather than reacts to, the changes in climate currently in process. Today’s spatial planning procedures rely on historical evidence instead of preparing for factors that by definition lie in the future, yet which are relatively uncontroversial: shortages of water, sea...

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