Artificial Intelligence and Conservation

Artificial Intelligence and Conservation
Title Artificial Intelligence and Conservation PDF eBook
Author Fei Fang
Publisher Cambridge University Press
Pages 247
Release 2019-03-28
Genre Computers
ISBN 1108672922

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With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.

AI in the Wild

AI in the Wild
Title AI in the Wild PDF eBook
Author Peter Dauvergne
Publisher MIT Press
Pages 278
Release 2020-09-15
Genre Computers
ISBN 0262359588

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Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability.

Artificial Intelligence and Social Work

Artificial Intelligence and Social Work
Title Artificial Intelligence and Social Work PDF eBook
Author Milind Tambe
Publisher Cambridge University Press
Pages 269
Release 2018-11-29
Genre Computers
ISBN 1108425992

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An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Title Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering PDF eBook
Author Gebrail Bekdas
Publisher Engineering Science Reference
Pages 312
Release 2019
Genre Artificial intelligence
ISBN 9781799803027

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"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis
Title Data Science Applied to Sustainability Analysis PDF eBook
Author Jennifer Dunn
Publisher Elsevier
Pages 312
Release 2021-05-11
Genre Science
ISBN 0128179775

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Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses

Artificial Intelligence for Renewable Energy Systems

Artificial Intelligence for Renewable Energy Systems
Title Artificial Intelligence for Renewable Energy Systems PDF eBook
Author Ajay Kumar Vyas
Publisher John Wiley & Sons
Pages 276
Release 2022-03-02
Genre Computers
ISBN 1119761697

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ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Artificial Intelligence for Cultural Heritage

Artificial Intelligence for Cultural Heritage
Title Artificial Intelligence for Cultural Heritage PDF eBook
Author Luciana Bordoni
Publisher Cambridge Scholars Publishing
Pages 160
Release 2016-06-22
Genre Social Science
ISBN 1443895474

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Artificial Intelligence and Cultural Heritage represent a combination that for several years has interested both scientific and cultural institutions regarding the potential of possible interactions and aggregations among the various players in these areas. This volume defines roles and provides connections where research and new technologies can suggest routes and competitive solutions that integrate tourism and culture with business and the market. The volume is multidisciplinary, presenting and discussing a variety of new ideas, resulting from the integration of different scientific approaches. The papers brought together here deal with topics including the representation of cultural history, semantic digital archives, the use of analytic tools to support visitor interpretation, augmented reality, and robotics. As such, this book represents the detailed investigation of methodological and applicative aspects that the continued proliferation of computer applications in the cultural heritage field demands.