Residential Buildings are normally the first design projects encountered by the student in his or her training. The focus ...
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It consists of measures to prevent fires from starting, to facilitate the rescue of individuals in a burning building, and ...
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The discrete numerical methods of aerodynamics/aerothermodynamics permit now - what was twenty years ago not imaginable - ...
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This handbook brings together the theoretical basics of fluid dynamics with a systemaic overview of the appropriate numerical ...
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This unparalleled text on the basics of PET imaging technology is an ideal resource for technologists and residents preparing ...
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Incorporating the information related to mechanisms and treatment of cardiac arrhythmia, this book discusses genetics of ...
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Diese Neuauflage bietet übersichtlich und kompakt einen vollständigen Überblick über alle prüfungsrelevanten Inhalte ...
Continue readingThe most authoritative resource available on the subject, containing everything a professional needs to know to design a ...
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Provides comprehensive information on the basic principles of contemporary sanitary planning, as well as detailed solutions ...
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The contents of this book builds further on the contents of the first volume in the Philips Research Book Series, Battery ...
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Bringing together an international team of scholars, this book offers new perspectives on the impact that the Bauhaus and ...
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R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
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This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Continue readingThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
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Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
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Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
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Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies ...
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Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
Continue readingIt is not enough for a business to have the best data if those using it don't understand the right questions to ask or how ...
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This treatise covers all aspects of the design and the daily operations of a beam diagnostic system for a large particle ...
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