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Discovery Science
This book constitutes the refereed proceedings of the 8th International Conference on Discovery Science, DS 2005, held in Singapore in October 2005, co-located with the International Conference on Algorithmic Learning Theory (ALT 2005). The 21 revised long papers and the 6 revised regular papers presented together with 9 project reports and 5 invited papers were carefully reviewed and selected from 112 submissions. The papers cover all issues in the area of automating scientific discovery or working on tools for supporting the human process of discovery in science.
Climate Change and Global Warming
Strong evidence has proved that the climate is changing and the world is becoming warmer by various measures. It is now generally accepted that human activities are changing the configuration of our ecosystem. Most likely, further changes and negative influences are unavoidable. Nevertheless, we can prevent the dominant impacts of climate change, so that life remains manageable. Meanwhile, misperceptions of the solutions are increasing. The overall purpose of this book is to introduce the concept of climate change and its effects within the context of sustainable development. This book, Climate Change and Global Warming, brings together the engineers, scientists, socialists and policymakers of the world to critically look at various aspects of climate change, and it is an attempt to look at the facts.
Sedimentation Engineering
The lack of knowledge about sedimentation processes taking place in a watershed or a waterbody hinders practical progress in addressing problem-solving. To assist the reader in putting sediment quantity and quality issues into perspective, sedimentation engineering features the most state-of-the-art contributions from a number of researchers working in the fields of water resources and soil erosion. The book contains 10 chapters selected among a great number of submitted manuscripts. The main topics are sedimentation processes in marshes, harbor estuaries, gulf, hydraulic turbine, and volcanic area. Sediment contamination and few other topics are included as well. The case studies cover a sequence for integrated solutions where watershed management and sedimentation engineering are not decoupled. This book on sedimentation engineering is designed for researchers and professionals and for course use in environmental science.
River Basin Management
Many of the challenges facing farmers and human communities from hydrographical basins are not new. But, due to the fact that the nature and extents of the problems vary from one region to another and from one basin to another, the responses are highly diversified. There is no generally valid solution for all the problems. However, in addressing issues on ensuring the prevention or mitigation of the destructive consequences of flood damage or prolonged drought as for the optimal use of water by consumers, sustainable basin land use, biodiversity conservation, and environment protection as well, fourteen specialists and their colleagues present the state of the art in these important matters and new possible solutions to solve, identified from the scientific investigations undertaken.
International Handbook of Disaster Research
This handbook is a comprehensive source of information, analysis and directions in disaster studies. It goes beyond the oft-explored issues of management and science related to the topic and explores policies, governance, law and decision-making combined with the processes of implementation and enforcement, all the while integrating the latest science and technology updates related to the topic, such as artificial intelligence and early warning systems. It brings together studies which relate to sociology, politics and institutional economics, which work under the impact of resource availability, issues of leadership and international laws. Disasters are trans-boundary and disaster studie...
A Scientist: Journey of a Village Boy of Bihar, Bharat (India)
From ancient times to the present, India has been the birthplace of numerous remarkable scientists. The role models of average youth have shifted from scientists and ‘Gurus’ to individuals wielding power, fame, and wealth, such as politicians, celebrities, and influential government officials. With changing ‘Yugas,’ corruption has seeped into society, becoming the norm, and even academic institutions and their associated systems have not remained untouched by this persistent ailment. As a result, nurturing the next generation of scientists has been significantly impacted. Within the pages of this book unfolds the journey of a village boy from Bihar, India, who refused to let the flam...
Machine Learning
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based appr...
Knowledge Discovery, Knowledge Engineering and Knowledge Management
This book constitutes the thoroughly refereed proceedings of the 4th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K, held in Barcelona, Spain, in October 2012. The 29 best papers were carefully reviewed and selected from 347 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.
Innovations in Machine Learning
Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.
Climate Change and Global Warming
Strong evidence has proved that the climate is changing and the world is becoming warmer by various measures. It is now generally accepted that human activities are changing the configuration of our ecosystem. Most likely, further changes and negative influences are unavoidable. Nevertheless, we can prevent the dominant impacts of climate change, so that life remains manageable. Meanwhile, misperceptions of the solutions are increasing. The overall purpose of this book is to introduce the concept of climate change and its effects within the context of sustainable development. This book, Climate Change and Global Warming, brings together the engineers, scientists, socialists and policymakers of the world to critically look at various aspects of climate change, and it is an attempt to look at the facts.
