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This book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.
Thoroughly and systematically presents the state-of-the-art in the diagnostic uses of radiologic imaging and nuclear medicine in the diagnosis and management of infectious and inflammatory diseases
Although our understanding of microorganisms has advanced significantly and antimicrobial therapy has become increasingly available, infection remains a major cause of patient morbidity and mortality. Imaging of infection and inflammation provides a classic example of radiology and nuclear medicine?s strengths as well as weaknesses in the discovery and diagnosis of disease. Fortunately, the weaknesses are subsiding as new studies and techniques point to better planning and precision in the use of single and combined imaging modalities.
Diagnostic Imaging of Infections and Inflammatory Diseases: A Multidisciplinary Approach deals with the very latest developments in the use of radiologic techniques and modalities in the management of patients with a host of infectious and inflammatory diseases. Tremendously timely and useful, this innovative, multidisciplinary book covers a wide range of topics in three parts:
PART 1: Infections and Host Response
PART 2: Radiological Imaging
PART 3: Nuclear Medicine Imaging
Along with carefully developed clinical cases describing the management of patients with inflammation and infection, Diagnostic Imaging of Infections and Inflammatory Diseases is an ideal guide for radiologists and nuclear medicine physicians as well as clinical specialists from many other fields.
Radar-based imaging of aircraft targets is a topic that continues to attract a lot of attention, particularly since these imaging methods have been recognized to be the foundation of any successful all-weather non-cooperative target identification technique. Traditional books in this area look at the topic from a radar engineering point of view. Consequently, the basic issues associated with model error and image interpretation are usually not addressed in any substantive fashion. Moreover, applied mathematicians frequently find it difficult to read the radar engineering literature because it is jargon-laden and device specific, meaning that the skills most applicable to the problem's solution are rarely applied. Enabling an understanding of the subject and its current mathematical research issues, Radar Imaging of Airborne Targets: A Primer for Applied Mathematicians and Physicists presents the issues and techniques associated with radar imaging from a mathematical point of view rather than from an instrumentation perspective. The book concentrates on scattering issues, the inverse scattering problem, and the approximations that are usually made by practical algorithm developers. The author also explains the consequences of these approximations to the resultant radar image and its interpretation, and examines methods for reducing model-based error.
This work was compiled by Various Authors and despite its age continues to be popular with modern readers
Knowledge is increasingly regarded as central both to the successful functioning of organizations and to their strategic direction. Managing Information and Knowledge in Organizations explores the nature and place of knowledge in contemporary organizations, paying particular attention to the management of information and data and to the crucial enabling role played by information and communication technology. Mutch draws on a wide range of literature spanning the disciplines of business, management, information management, and information systems. This material is located in a framework based on critical realism but covering the full range of contemporary debates.
Managing Information and Knowledge in Organizations distinguishes itself by:
Alistair Mutch is Professor of Information and Learning in the Department of Information Management and Systems, The Nottingham Trent University. He is the author of several books and numerous papers in the field of information management.
Featuring such useful features as chapter objectives, mini-cases, chapter summaries, and suggestions for further reading, this text is ideal for advanced undergraduate and graduate students in Knowledge Management, Information Management, and Management of Information Systems courses and modules.
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