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This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.
Artificial intelligence --- Industrial applications. --- 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 --- Simulation methods --- Fifth generation computers --- Neural computers --- Management. --- Industrial management. --- Technology. --- Innovation/Technology Management. --- Popular Science in Technology. --- Applied science --- Arts, Useful --- Science, Applied --- Useful arts --- Science --- Industrial arts --- Material culture --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Administration --- Industrial relations --- Organization
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This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.
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"This book introduces readers to spatiotemporal analytics that are extended from spatial statistics. Spatiotemporal analytics help analysts to quantitatively recognize and evaluate the spatial patterns and their temporal trends of a set of geographic events or objects, which is important in geography, environmental sciences, economy, and many other domains. This book explains in simple terms the concepts of spatiotemporal data and statistics, theories, and methods used. Each chapter introduces a case study as an example application for an in-depth learning process. The software used and the codes provided enable readers to learn statistics and use them effectively in their projects"--
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"The research paper "Extinction Risk from Climate Change" published in the journal Nature in January 2004 created front-page headlines around the world. The notion that climate change could drive more than a million species to extinction captured both the popular imagination and the attention of policy-makers, and provoked an unprecedented round of scientific critique. _ Saving a Million Species reconsiders the central question of that paper: How many species may perish as a result of climate change and associated threats? Leaders from a range of disciplines synthesize the literature, refine the original estimates, and elaborate the conservation and policy implications. The book: *examines the initial extinction risk estimates of the original paper, subsequent critiques, and the media *and policy impact of this unique study *presents evidence of extinctions from climate change from different time frames in the past *explores extinctions documented in the contemporary record *sets forth new risk estimates for future climate change *considers the conservation and policy implications of the estimates. Saving a Million Species offers a clear explanation of the science behind the headline-grabbing estimates for conservationists, researchers, teachers, students, and policy-makers. It is a critical resource for helping those working to conserve biodiversity take on the rapidly advancing and evolving global stressor of climate change-the most important issue in conservation biology today, and the one for which we are least prepared"--
Extinction (Biology) - Environmental aspects. --- Climatic changes --- Global warming --- Extinction (Biology) --- Earth & Environmental Sciences --- Meteorology & Climatology --- Environmental aspects --- Climatic changes. --- Global warming. --- Environmental aspects. --- Animals --- Extirpation (Biology) --- Warming, Global --- Changes, Climatic --- Climate change --- Climate changes --- Climate variations --- Climatic change --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Extinction --- Extirpation --- Environment. --- Climate change. --- Ecology. --- Conservation biology. --- Nature conservation. --- Sustainable development. --- Climate Change. --- Climate Change/Climate Change Impacts. --- Conservation Biology/Ecology. --- Nature Conservation. --- Sustainable Development. --- Biology --- Extinct animals --- Global temperature changes --- Greenhouse effect, Atmospheric --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Changes in climate --- Climate change science --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Conservation of nature --- Nature --- Nature protection --- Protection of nature --- Conservation of natural resources --- Applied ecology --- Conservation biology --- Endangered ecosystems --- Natural areas --- Ecology --- Nature conservation --- Balance of nature --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Conservation --- Ecology . --- Global environmental change
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658.58 --- 658.58 Servicing and maintenance work --- Servicing and maintenance work
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Mortality --- Indonesia --- Indonesia --- Indonesia --- Population. --- Statistics, Vital. --- Census, 1971.
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Korea (South) --- Korea (South) --- Korea (South) --- Economic policy --- Economic conditions --- Politics and government
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Climatic changes. --- Natural resources. --- Environmental impact analysis. --- Protected areas.
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