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Deep Learning for the Earth Sciences

Author: Gustau Camps-Valls

Publisher: John Wiley & Sons

Published: 2021-08-18

Total Pages: 436

ISBN-13: 1119646162

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.

AngloArabia

Author: David Wearing

Publisher: Polity

Published: 2018-11-28

Total Pages: 0

ISBN-13: 9781509532049

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UK ties with Saudi Arabia and the other Gulf monarchies are under the spotlight as never before. Huge controversy surrounds Britain’s alliances with these deeply repressive regimes, and the UK’s key supporting role in the disastrous Saudi-led intervention in Yemen has lent added urgency to the debate. What lies behind the British government’s decision to place politics before principles in the Gulf? Why have Anglo-Arabian relations grown even closer in recent years, despite ongoing, egregious human rights violations? In this ground-breaking analysis, David Wearing argues that the Gulf Arab monarchies constitute the UK’s most important and lucrative alliances in the global south. They are central both to the British government’s ambitions to retain its status in the world system, and to its post-Brexit economic strategy. Exploring the complex and intertwined structures of UK-Gulf relations in trade and investment, arms sales and military cooperation, and energy, Wearing shines a light on the shocking lengths to which the British state has gone in order to support these regimes. As these issues continue to make the headlines, this book lifts the lid on ‘AngloArabia’ and what’s at stake for both sides.

GREAT ADAPTATIONS

Author: MORGAN. PHILLIPS

Publisher:

Published: 2021

Total Pages:

ISBN-13: 9781912092147

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Deep Adaptation

Author: Jem Bendell

Publisher: John Wiley & Sons

Published: 2021-06-09

Total Pages: 224

ISBN-13: 1509546855

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‘Deep adaptation’ refers to the personal and collective changes that might help us to prepare for – and live with – a climate-influenced breakdown or collapse of our societies. It is a framework for responding to the terrifying realization of increasing disruption by committing ourselves to reducing suffering while saving more of society and the natural world. This is the first book to show how professionals across different sectors are beginning to incorporate the acceptance of likely or unfolding societal breakdown into their work and lives. They do not assume that our current economic, social and political systems can be made resilient in the face of climate change but, instead, they demonstrate the caring and creative ways that people are responding to the most difficult realization with which humanity may ever have to come to terms. Edited by the originator of the concept of deep adaptation, Jem Bendell, and a leading climate activist and strategist, Rupert Read, this book is the essential introduction to the concept, practice and emerging global movement of Deep Adaptation to climate chaos.

The Basic Minimum

Author: Dale Dorsey

Publisher: Cambridge University Press

Published: 2012-02-02

Total Pages: 237

ISBN-13: 1107080037

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A common presupposition in contemporary moral and political philosophy is that individuals should be provided with some basic threshold of goods, capabilities, or well-being. But if there is such a basic minimum, how should this be understood? Dale Dorsey offers an underexplored answer: that the basic minimum should be characterized not as the achievement of a set of capabilities, or as access to some specified bundle of resources, but as the maintenance of a minimal threshold of human welfare. In addition, Dorsey argues that though political institutions should be committed to the promotion of this minimal threshold, we should reject approaches that seek to cast the basic minimum as a human right. His book will be important for all who are interested in theories of political morality.

Why Climate Breakdown Matters

Author: Rupert Read

Publisher: Bloomsbury Publishing

Published: 2022-07-14

Total Pages: 232

ISBN-13: 1350212032

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Climate change and the destruction of the earth is the most urgent issue of our time. We are hurtling towards the end of civilisation as we know it. With an unflinching honest approach, Rupert Read asks us to face up to the fate of the planet. This is a book for anyone who wants their philosophy to deal with reality and their climate concern to be more than a displacement activity. As people come together to mourn the loss of the planet, we have the opportunity to create a grounded, hopeful response. This meaningful hopefulness looks to the new communities created around climate activism. Together, our collective mourning enables us to become human in ways previously unknown. Why Climate Breakdown Matters is a practical guide on how to be a radical, responsible climate activist.

Pattern Recognition. ICPR International Workshops and Challenges

Author: Alberto Del Bimbo

Publisher: Springer Nature

Published: 2021-02-22

Total Pages: 753

ISBN-13: 3030687902

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This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

Introduction to Transfer Learning

Author: Jindong Wang

Publisher: Springer Nature

Published: 2023-03-30

Total Pages: 333

ISBN-13: 9811975841

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Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a “student’s” perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice.

The Future of Complexity

Author: Peter Baofu

Publisher: World Scientific

Published: 2007

Total Pages: 322

ISBN-13: 9812709002

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Contrary to the conventional wisdom held by many contemporaries in our time, the popularity of studying complexity is fast becoming a new fad in the intellectual scene. However, can the study of complex phenomena truly reveal recognizable patterns (with predictable outcomes) to enhance our understanding of reality, especially when it is embedded within the messy web of complexity? If so, what then are the limits? This book strives to demolish some of the myths surrounding the nature of complexity and, in the process, to provide an original theory to understand it in this world and beyond. It introduces the author''s dialectic theory of complexity, together with the theoretical debate in the literature. It expounds on the concept of complexity from various perspectives, including chemistry, micro- and macro-physics, biology and psychology. It also examines the nature of complexity from societal and cultural perspectives. This book presents a broad view on the nature of complexity, adequately introducing the reader to this emerging field. Sample Chapter(s). Foreword (38 KB). Contents: Introduction OCo The Challenge of Complexity; Natural Complexity; Mental Complexity; Societal Complexity; Cultural Complexity; Conclusion OCo The Future of Complexity. Readership: General readers and academia."