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The Management of Uncertainty: Learning from Chernobyl

was learned about the management of nuclear risk. Furthermore, Liberatore studies the short-term and long-term responses and consequences of Chernobyl;

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The Management of Uncertainty

was learned about the management of nuclear risk. Furthermore, Liberatore studies the short-term and long-term responses and consequences of Chernobyl;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management;

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Chernobyl Prayer

Prize' - Craig Mazin, creator of the HBO / Sky TV series Chernobyl - A new translation of Voices from Chernobyl based on the revised text;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

from 55 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on;

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Information Processing and Management of Uncertainty

Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented;

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Learning the Nuclear

This book illuminates the educational potential of nuclear tourism and learning about nuclear power in informal and non-formal learning;

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Voices from Chernobyl

Winner of the Nobel Prize in Literature Winner of the National Book Critics Circle Award A journalist by trade, who now suffers from an;

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Learning with Uncertainty

, the influence of uncertainty on the performance of learning system, the heuristic design with uncertainty, etc. Most contents of the;

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Learning with Uncertainty

, the influence of uncertainty on the performance of learning system, the heuristic design with uncertainty, etc. Most contents of the book are;

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Chernobyl

historical record, with quotations from all the major players in the Chernobyl drama. It also provides unique insight into the final stages of Soviet;

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Scalable Uncertainty Management

This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held;

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Mindful Project Management

encouraged. We believe that with purpose, whatever uncertainty hits us, and regardless of the damage caused, we can prevent a crisis from happening;

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Mindful Project Management

encouraged. We believe that with purpose, whatever uncertainty hits us, and regardless of the damage caused, we can prevent a crisis from happening;

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Scalable Uncertainty Management

This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which;

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Scalable Uncertainty Management

This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which;

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Scalable Uncertainty Management

This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held;

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The Management of Non-Governmental Development Organizations

Exploring the newly emerging field of the management of Non-Governmental Organizations (NGOs) working in developing countries, this;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cadiz, Spain, in June 2018. The 193 revised full papers were carefully;

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Medical Consequences of the Chernobyl Nuclear Accident

Medical Consequences Of The Chernobyl Nuclear Accident;

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Scalable Uncertainty Management

This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which;

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Scalable Uncertainty Management

This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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Scalable Uncertainty Management

in databases, the Web, the Semantic Web, and AI. It aims at bringing together all those interested in the management of large volumes of uncertainty;

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Disasters

early fires, explosions and mining disasters that paved the way for better safety management. Disasters: learning the lessons for a safer world;

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Managing Project Uncertainty

situation) will differentiate the book from its contemporaries. By picking up where traditional risk management techniques begin to fail, it brings;

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