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Adaptation and Mitigation Strategies for Climate Change
In recent decades there has been a growing awareness of how intricate the interactions are between human beings and the environment. Fortunately, progress has been made in understanding this relationship, and new technologies have been effective in addressing environmental problems. However belatedly, there has been an acknowledgment of the incompatibility of the world's finite resources with humankind's increasingly greater needs for them, and of how such a challenge demands broadened collaboration among engineers, social scientists, politicians and financial powers. Global agreement that the essential issues of the twenty-first century cannot be solved by any one discipline has led to the ...
Environmental History in East Asia
As environmental history has developed as growing sub-discipline within the study of history, great emphasis has been placed on the importance of adopting an interdisciplinary approach. Indeed, as Environmental History in East Asia shows, by drawing on research and methodologies from the fields of science, technology, geography, geology and ecology, we are able to develop a much richer understanding of a region’s history. This book provides a comprehensive examination of environmental history in East Asia, ranging temporally from the Ming dynasty to the 21st Century and spatially across China, Japan and Taiwan. Split into four parts, the chapters cover a wide range of fascinating topics, c...
Elgar Encyclopedia of Environmental Sociology
The Elgar Encyclopedia of Environmental Sociology serves as a repository of insight on the complex interactions, challenges and potential solutions that characterize our shared ecological reality. Presenting innovative thinking on a comprehensive range of topics, expert scholars, researchers, and practitioners illuminate the nuances, complexities and diverse perspectives that define the continually evolving field of environmental sociology.
Artificial Intelligence in PET/CT Oncologic Imaging
This book presents artificial intelligence applications that may help in detecting disease, defining tissue characterization (benign vs malignant), staging and correlation with molecular biomarkers. Originally positioned as a means for noninvasive molecular phenotyping and quantification in the 1970s, PET's technological improvements in the 2000s generated renewed interest in quantification, which has grown over the last five years. This progress is parallel with the development of Artificial intelligence (AI) systems for Oncology which aim at providing the best possible treatment to patients suffering from lung, breast, brain, prostate, liver and other types of cancer. The chapters provide an overview of the use of AI in PET/CT imaging for various types of cancer, and it will be an invaluable tool especially for nuclear medicine physicians and oncologists.
Databases in Networked Information Systems
This book constitutes the refereed proceedings of the 6th International Workshop on Databases in Networked Information Systems, DNIS 2010, held in Aizu-Wakamatsu, Japan in October 2010. The 13 revised full papers presented together with 9 invited talks and 1 keynote lecture were carefully reviewed and selected for inclusion in the book. The workshop generally puts the main focus on data semantics and infrastructure for information management and interchange. The papers are organized in topical sections on networked information systems: infrastructure, access to information resources, information and knowledge management systems, information extraction from data resources, and geo-spatial decision making.
Climate Change and Global Sustainability
Because climate change involves a wide range of interlinked problems, solutions must be pursued in an interdisciplinary manner. This book adopts just such a holistic approach in examining various aspects of global warming, offering a comprehensive overview. First, the mapping of knowledge about global warming is presented as a framework for addressing the issue. This is followed by a discussion of risk in relation to global warming and of the communication of risk between academia and society. Impacts, adaptation strategies, the institution of a low-carbon society, and other policy concerns are then reviewed. Because human behavior is a critical factor in the move toward a low-carbon society, issues involving quality of life are also presented,with an emphasis on philosophy. Finally, the book considers the integration of three scenarios--a low-carbon society, a resource-circulating society, and a society in harmony with nature--and presents a comprehensive vision of the future.
Modeling Decisions for Artificial Intelligence
Decision modeling is a key area in the developing field of AI, and this timely work connects researchers and professionals with the very latest research. It constitutes the refereed proceedings of the 4th International Conference on Modeling Decisions for Artificial Intelligence, held in Kitakyushu, Japan, in August 2007. The 42 revised full papers presented together with 4 invited lectures are devoted to theory and tools, as well as applications.
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
This book constitutes the refereed proceedings of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, held in Salamanca, Spain in June 2009. The 167 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from over 230 submissions. The papers are organized in thematic sections on theoretical foundations and models; learning and adaptation; self-organizing networks, methods and applications; fuzzy systems; evolutionary computation and genetic algoritms; pattern recognition; formal languages in linguistics; agents and multi-agent on intelligent systems; brain-computer interfaces (bci); multiobjetive optimization; robotics; bioinformatics; biomedical applications; ambient assisted living (aal) and ambient intelligence (ai); other applications.
Artificial Intelligence and Quantum Computing for Advanced Wireless Networks
ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A comprehensive presentation of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing for Advanced Wireless Networks, the authors deliver a practical and timely review...
