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Hazard mitigation. --- Emergency management. --- Risk assessment. --- Analysis, Risk --- Assessment, Risk --- Risk analysis --- Risk evaluation --- Evaluation --- Consequence management (Emergency management) --- Disaster planning --- Disaster preparedness --- Disaster prevention --- Disaster relief --- Disasters --- Emergencies --- Emergency management --- Emergency planning --- Emergency preparedness --- Management --- Public safety --- First responders --- Disaster mitigation --- Disaster risk mitigation --- Disaster risk reduction --- Hazards mitigation --- Mitigation, Hazard --- Natural hazard mitigation --- Natural hazards mitigation --- Reduction of risks of disasters --- Risk mitigation, Disaster --- Risk reduction, Disaster --- Planning --- Preparedness --- Prevention --- Risk mitigation
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This book vividly shows the fostering environment, activity characteristics, distribution pattern, economic losses, casualties, disaster risks and management of earthquakes, mass movement, drought, floods, and marine disasters in the Silk Road region. It develops a multi-scale and multi-disaster risk assessment method to better assess and understand the Silk Road disaster risk. A multi-level collaborative risk management model has been proposed for transboundary disasters, and it also shares case studies on major disaster risk management. The book makes a major step forward to increase the understanding of the disaster risk of the Silk Road region. It presents a holistic understanding of the natural hazards and their induced disaster risks and is a valuable read for scholars, stakeholders and practitioners in the DRR community.
Nature protection --- Measuring methods in physics --- Geophysics --- Meteorology. Climatology --- Geology. Earth sciences --- Environmental protection. Environmental technology --- Geography --- geografie --- milieutechnologie --- milieubeheer --- natuurrampen
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This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.
Computer science. --- Computers. --- Data mining. --- Artificial intelligence. --- System theory. --- Mathematical optimization. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Optimization. --- Complex Systems. --- Theory of Computation. --- Data Mining and Knowledge Discovery. --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Information theory. --- Artificial Intelligence. --- Communication theory --- Communication --- Cybernetics --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace --- Systems, Theory of --- Systems science --- Science --- Philosophy
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This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.
Numerical methods of optimisation --- Operational research. Game theory --- Mathematical control systems --- Discrete mathematics --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- toegepaste informatica --- grafentheorie --- datamining --- automatisering --- wiskunde --- KI (kunstmatige intelligentie) --- data acquisition --- informatietheorie --- AI (artificiële intelligentie)
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Computer software --- Combinatorial analysis. --- Testing. --- Security measures.
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