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Artificial Intelligence Oceanography
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Book Synopsis Artificial Intelligence Oceanography by : Xiaofeng Li
Download or read book Artificial Intelligence Oceanography written by Xiaofeng Li and published by Springer Nature. This book was released on 2023-02-03 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing.
Book Synopsis Artificial Intelligence and Edge Computing for Sustainable Ocean Health by : Debashis De
Download or read book Artificial Intelligence and Edge Computing for Sustainable Ocean Health written by Debashis De and published by Springer. This book was released on 2024-10-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Edge Computing for Sustainable Ocean Health explores the transformative role of AI and edge computing in preserving and enhancing ocean health. The growing influence of Artificial Intelligence (AI), along with the Internet of Things (IoT) in generating wide coverage of sensor networks, and Edge Computing (EC) has paved the way for investigation of underwater as well as massive marine data, thereby generating huge potential for credible research opportunities for these domains. This book’s journey begins with a broad overview of Artificial Intelligence for Sustainable Ocean Health, setting the foundation for understanding AI's potential in marine conservation. The subsequent chapter, Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism, illustrates the synergy between technological advancements and sustainable tourism practices, demonstrating how AI can enhance the attractiveness and preservation of marine destinations. The identification, restoration, and monitoring of marine resources along with the utilization of technology continues in Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment has been extensively dealt with. The technical challenges of underwater imaging, essential for accurate data collection and analysis has been discussed. The importance of Explainable AI is discussed in chapters like Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health, Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health, and A Comprehensive Study of AI (XAI) for Ocean Health Monitoring, which emphasize transparency and trust in AI systems. Further, Revolutionizing Internet of Underwater Things with Federated Learning, Underwater Drone, Underwater Imagery with AI/ML and IoT in ROV Technology and Ocean Cleanup has been demonstrated using innovative approaches to addressing underwater challenges. The book also includes a Review on the Optics and Photonics in Environmental Sustainability, focusing on the role of optics in marine conservation. Security issues are tackled in Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission, and the overarching potential of AI in marine resource management is discussed in Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources.
Book Synopsis Machine Learning Methods in the Environmental Sciences by : William W. Hsieh
Download or read book Machine Learning Methods in the Environmental Sciences written by William W. Hsieh and published by Cambridge University Press. This book was released on 2009-07-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Book Synopsis Artificial Intelligence Methods in the Environmental Sciences by : Sue Ellen Haupt
Download or read book Artificial Intelligence Methods in the Environmental Sciences written by Sue Ellen Haupt and published by Springer Science & Business Media. This book was released on 2008-11-28 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.
Book Synopsis Machine Learning and Artificial Intelligence in Geosciences by :
Download or read book Machine Learning and Artificial Intelligence in Geosciences written by and published by Academic Press. This book was released on 2020-09-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. Provides high-level reviews of the latest innovations in geophysics Written by recognized experts in the field Presents an essential publication for researchers in all fields of geophysics
Book Synopsis AI for Marine, Ocean and Climate Change Monitoring by : Veronica Nieves
Download or read book AI for Marine, Ocean and Climate Change Monitoring written by Veronica Nieves and published by Mdpi AG. This book was released on 2024-01-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The oceans play a pivotal role in regulating the Earth's climate, absorbing excess heat with far-reaching consequences such as rising sea levels and shifts in ocean circulation. To address these complex challenges, there is a growing interest in using advanced statistical, machine learning, and AI techniques to observe and model these ocean processes from space. This approach holds immense potential for identifying and predicting these intricate mechanisms, providing valuable insights into the impacts of climate change. This Special Issue reprint is dedicated to advancing climate science by integrating machine learning, remote sensing, and oceanography. It explores the application of cutting-edge technologies such as artificial neural networks and data-driven algorithms to skillfully analyze and forecast ocean-related processes. These cutting-edge techniques are essential for the challenges posed by ocean warming and its effects, emphasizing the urgent need for interdisciplinary research that combines expertise in AI, machine learning, and earth sciences. By fostering innovation and knowledge exchange, this Special Issue compiles recent advancements in ocean and climate sciences. It offers a wide array of methodological perspectives and tools to enhance our understanding of global and regional climate change monitoring, elevate forecasting capabilities, and clarify sources of uncertainty in predictive models. This effort signifies a crucial step in addressing the challenges arising from technological gaps and the impacts of climate change on our oceans and the planet.
Book Synopsis Sailing on Digital Waves by : Tymoteusz Miller
Download or read book Sailing on Digital Waves written by Tymoteusz Miller and published by . This book was released on 2024-02-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a captivating voyage with "Sailing on Digital Waves: Leveraging AI for Sea Transport and Oceanography," a pioneering exploration that charts the course of artificial intelligence in transforming maritime industries. This comprehensive monograph delves deep into the confluence of AI, advanced ship mechanics, sea transport, and the enigmatic realm of oceanography. As the digital age ushers in unprecedented advancements, this book emerges as a guiding star, illuminating the path to operational excellence, enhanced safety measures, and a profound understanding of the ocean's mysteries. With meticulous research and insightful analysis, "Sailing on Digital Waves" unravels the complex fabric of maritime technology and tradition. Readers are invited to navigate through the intricacies of ship design, the nuanced dynamics of maritime transport, and the innovative strides of AI in charting unexplored waters. This book is not merely a collection of theories and concepts; it's a vivid narrative that weaves together the threads of technological prowess, environmental stewardship, and the unyielding human spirit. Whether you're an industry professional, a dedicated researcher, or an enthusiastic aficionado of the sea and technology, this book offers a treasure trove of knowledge and inspiration. It stands as a testament to the remarkable synergy between human ingenuity and machine intelligence, steering us towards a future where our oceans are not only understood but also revered and meticulously preserved. "Sailing on Digital Waves" beckons you to set sail on a transformative journey. It promises not just a deeper comprehension of the maritime world but also inspires a wave of innovation and conservation. As you turn each page, prepare to be immersed in a sea of possibilities, where AI and oceanography converge to create a harmonious and sustainable future for our planet's blue heart.
Book Synopsis Artificial Intelligence: A Very Short Introduction by : Margaret A. Boden
Download or read book Artificial Intelligence: A Very Short Introduction written by Margaret A. Boden and published by Oxford University Press. This book was released on 2018-08-13 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. In this Very Short Introduction , Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Book Synopsis Science on a Mission by : Naomi Oreskes
Download or read book Science on a Mission written by Naomi Oreskes and published by University of Chicago Press. This book was released on 2021-04-19 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: A vivid portrait of how Naval oversight shaped American oceanography, revealing what difference it makes who pays for science. What difference does it make who pays for science? Some might say none. If scientists seek to discover fundamental truths about the world, and they do so in an objective manner using well-established methods, then how could it matter who’s footing the bill? History, however, suggests otherwise. In science, as elsewhere, money is power. Tracing the recent history of oceanography, Naomi Oreskes discloses dramatic changes in American ocean science since the Cold War, uncovering how and why it changed. Much of it has to do with who pays. After World War II, the US military turned to a new, uncharted theater of warfare: the deep sea. The earth sciences—particularly physical oceanography and marine geophysics—became essential to the US Navy, which poured unprecedented money and logistical support into their study. Science on a Mission brings to light how this influx of military funding was both enabling and constricting: it resulted in the creation of important domains of knowledge but also significant, lasting, and consequential domains of ignorance. As Oreskes delves into the role of patronage in the history of science, what emerges is a vivid portrait of how naval oversight transformed what we know about the sea. It is a detailed, sweeping history that illuminates the ways funding shapes the subject, scope, and tenor of scientific work, and it raises profound questions about the purpose and character of American science. What difference does it make who pays? The short answer is: a lot.
Book Synopsis Recent Advancements in Artificial Intelligence by : Richi Nayak
Download or read book Recent Advancements in Artificial Intelligence written by Richi Nayak and published by Springer Nature. This book was released on with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Biologist’s Guide to Artificial Intelligence by : Ambreen Hamadani
Download or read book A Biologist’s Guide to Artificial Intelligence written by Ambreen Hamadani and published by Elsevier. This book was released on 2024-03-15 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence
Book Synopsis Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data by : Robert B. Fisher
Download or read book Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data written by Robert B. Fisher and published by Springer. This book was released on 2016-03-24 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.
Book Synopsis Schema Matching and Mapping by : Zohra Bellahsene
Download or read book Schema Matching and Mapping written by Zohra Bellahsene and published by Springer Science & Business Media. This book was released on 2011-02-14 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation. The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field. With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.
Book Synopsis Intelligent Computational Systems: A Multi-Disciplinary Perspective by : Faria Nassiri-Mofakham
Download or read book Intelligent Computational Systems: A Multi-Disciplinary Perspective written by Faria Nassiri-Mofakham and published by Bentham Science Publishers. This book was released on 2017-08-07 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Computational Systems presents current and future developments in intelligent computational systems in a multi-disciplinary context. Readers will learn about the pervasive and ubiquitous roles of artificial intelligence (AI) and gain a perspective about the need for intelligent systems to behave rationally when interacting with humans in complex and realistic domains. This reference covers widespread applications of AI discussed in 11 chapters which cover topics such as AI and behavioral simulations, AI schools, automated negotiation, language analysis and learning, financial prediction, sensor management, Multi-agent systems, and much more. This reference work is will assist researchers, advanced-level students and practitioners in information technology and computer science fields interested in the broad applications of AI.
Book Synopsis Artificial Intelligence in Earth Science by : Ziheng Sun
Download or read book Artificial Intelligence in Earth Science written by Ziheng Sun and published by Elsevier. This book was released on 2023-04-27 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges provides a comprehensive, step-by-step guide to AI workflows for solving problems in Earth Science. The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience. The book tackles the complexity of Earth system problems in AI engineering, fully guiding geoscientists who are planning to implement AI in their daily work. Provides practical, step-by-step guides for Earth Scientists who are interested in implementing AI techniques in their work Features case studies to show real-world examples of techniques described in the book Includes additional elements to help readers who are new to AI, including end-of-chapter, key concept bulleted lists that concisely cover key concepts in the chapter
Book Synopsis Shape, Contour and Grouping in Computer Vision by : David A. Forsyth
Download or read book Shape, Contour and Grouping in Computer Vision written by David A. Forsyth and published by Springer. This book was released on 2003-07-31 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon’s view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world.
Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) by : Seon Ki Park
Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) written by Seon Ki Park and published by Springer. This book was released on 2016-12-26 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
