This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this...
This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex proces...
This volume addresses several index decomposition analysis methods to assess progress made by EU countries in the last decade in relation to energy and climate change concerns. Several applications of these techniques are carried out in order to decompose changes in both energy and environmental aggregates. In addition to this, a new methodology based on classical spline approximations is introduced, which provides useful mathematical and statistical properties.
This volume addresses several index decomposition analysis methods to assess progress made by EU countries in the last decade in relation to energy an...
This book uses the metaphor "The economy is society's metabolism" as a springboard to develop a rigorous theoretical framework for a better system of national accounts which goes "Beyond GDP" and is relevant to the age of resource depletion. Society is entering a new era in which biophysical limits related to natural resource extraction rates and the biosphere's waste assimilation capacity are becoming binding constraints on mature economies. Unfortunately, the data needed for policy-makers to understand and manage economic growth in this new era are not universally available. All...
This book uses the metaphor "The economy is society's metabolism" as a springboard to develop a rigorous theoretical framework for a better system ...
The book adopts an innovative analytical approach to agenda setting by not only presenting successful cases in which energy issues were addressed by means of public policy, but by also analyzing failed attempts to make issues part of the European policy agenda. Another outstanding feature of the book is its use of the latest empirical data on a broad range of energy issues.
When are energy issues likely to find their way to the agenda of European policymakers? This is the key research question guiding this collection of empirical studies, which will shed light on both successful and...
The book adopts an innovative analytical approach to agenda setting by not only presenting successful cases in which energy issues were addressed b...
Contemporary cities face phenomenal risks, and they face particularly high levels of mounting social and environmental risks, including social polarization, urban conflicts, riots, terror, and climate change threats. This book suggests that climate change and its resulting uncertainties challenge the concepts, procedures, and scope of conventional approaches to planning, creating a need to rethink and revise current planning methods. Therefore, this book suggests a paradigm shift in our thinking, interrogation, and planning of our cities. Based on the contemporary conditions of risk at...
Contemporary cities face phenomenal risks, and they face particularly high levels of mounting social and environmental risks, including social polariz...
Contemporary cities face phenomenal risks, and they face particularly high levels of mounting social and environmental risks, including social polarization, urban conflicts, riots, terror, and climate change threats.
Contemporary cities face phenomenal risks, and they face particularly high levels of mounting social and environmental risks, including social polariz...
This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows.These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this...
This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex proces...
