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 ...
Lire la suiteA complete reference for the current techniques and materials used in dental technology. Retains the accessible, task-based ...
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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 ...
Lire la suiteThe 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 ...
Lire la suiteThis 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 ...
Lire la suiteIt 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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