Deep Learning For Marine Science
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Deep Learning For Marine Science
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Author : Haiyong Zheng
language : en
Publisher: Frontiers Media SA
Release Date : 2024-05-15
Deep Learning For Marine Science written by Haiyong Zheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Science categories.
Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in the field of artificial intelligence and machine learning. DL revolution has a far-reaching impact on all scientific disciplines and every corner of our lives. With continuing technological advances, marine science is entering into the big data era with the exponential growth of information. DL is an effective means of harnessing the power of big data. Combined with unprecedented data from cameras, acoustic recorders, satellite remote sensing, and large model outputs, DL enables scientists to solve complex problems in biology, ecosystems, climate, energy, as well as physical and chemical interactions. Although DL has made great strides, it is still only beginning to emerge in many fields of marine science, especially towards representative applications and best practices for the automatic analysis of marine organisms and marine environments. DL in nowadays' marine science mainly leverages cutting-edge techniques of deep neural networks and massive data which collected by in-situ optical or acoustic imaging sensors for underwater applications, such as plankton classification and coral reef detection. This research topic aims to expand the applications of marine science to cover all aspects of detection, classification, segmentation, localization, and density estimation of marine objects, organisms, and phenomena.
Deep Learning For Marine Science Volume Ii
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Author : Haiyong Zheng
language : en
Publisher: Frontiers Media SA
Release Date : 2024-11-07
Deep Learning For Marine Science Volume Ii written by Haiyong Zheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-07 with Science categories.
This Research Topic is the second volume of this collection. You can find the original collection via https://www.frontiersin.org/research-topics/45485/deep-learning-for-marine-science Deep learning (DL) is a critical research branch in the fields of artificial intelligence and machine learning, encompassing various technologies such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), Transformer networks and Diffusion models, as well as self-supervised learning (SSL) and reinforcement learning (RL). These technologies have been successfully applied to scientific research and numerous aspects of daily life. With the continuous advancements in oceanographic observation equipment and technology, there has been an explosive growth of ocean data, propelling marine science into the era of big data. As effective tools for processing and analyzing large-scale ocean data, DL techniques have great potential and broad application prospects in marine science. Applying DL to intelligent analysis and exploration of research data in marine science can provide crucial support for various domains, including meteorology and climate, environment and ecology, biology, energy, as well as physical and chemical interactions. Despite the significant progress in DL, its application to the aforementioned marine science domains is still in its early stages, necessitating the full utilization and continuous exploration of representative applications and best practices.
Machine Learning Methods In The Environmental Sciences
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Author : William W. Hsieh
language : en
Publisher: Cambridge University Press
Release Date : 2009-07-30
Machine Learning Methods In The Environmental Sciences written by William W. Hsieh and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-30 with Computers categories.
A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Into The Deep
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Author : Christy Peterson
language : en
Publisher: Millbrook Press
Release Date : 2020-04-07
Into The Deep written by Christy Peterson and has been published by Millbrook Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-07 with Young Adult Nonfiction categories.
Containing 97 percent of Earth's water supply, the ocean plays a huge role in regulating global temperatures, supporting plant and animal life, and contributing to the livelihoods of millions of people. But in spite of all this, the ocean remains drastically unexplored, and the details of its impact on human lives aren't fully understood. Scientists from around the world are realizing that to address issues plaguing the ocean, such as dead zones, coral bleaching, and climate change, we need to better understand this incredible, unique feature of our planet. With a range of impressive, cutting-edge technologies at their disposal, oceanographers have set out to measure, sample, and analyze at every turn. Every day, mysteries about the ocean are being solved, and every day, new questions come to light. The more scientists learn, the better they are able to answer these new questions. What lies in the deep? And who is at the forefront of these exciting discoveries? The scientists and research included in this book shed light on the most pressing issues currently facing oceanographers and point us in the right direction to solving these challenges.
Handbook Of Deep Learning Applications
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Author : Valentina Emilia Balas
language : en
Publisher: Springer
Release Date : 2019-02-25
Handbook Of Deep Learning Applications written by Valentina Emilia Balas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-25 with Computers categories.
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
Deep Learning Algorithms And Applications
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Author : Witold Pedrycz
language : en
Publisher: Springer Nature
Release Date : 2019-10-23
Deep Learning Algorithms And Applications written by Witold Pedrycz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-23 with Technology & Engineering categories.
This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
Deep Learning For Earth Observation And Climate Monitoring
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Author : Uzair Aslam Bhatti
language : en
Publisher: Elsevier
Release Date : 2025-03-19
Deep Learning For Earth Observation And Climate Monitoring written by Uzair Aslam Bhatti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Science categories.
Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies. - Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptability - Includes both learning representations and unsupervised deep learning, covering deep learning picture fusion, regression, parameter retrieval, forecasting, and interpolation from a practical standpoint - Provides a number of physics-aware deep learning models, including the code and the parameterization of models on a companion website, as well as links to relevant data repositories, allowing readers to test techniques themselves
Contributions Of Zoos And Aquariums To The Advancement Of Marine Science
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Author : Steven T. Kessel
language : en
Publisher: Frontiers Media SA
Release Date : 2025-02-13
Contributions Of Zoos And Aquariums To The Advancement Of Marine Science written by Steven T. Kessel and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Science categories.
As zoological organizations evolve in the twenty-first century to address the biodiversity extinction crisis, and proactively demonstrate relevance in a changing public opinion landscape, their conservation science portfolios continue to expand. Public zoos and aquariums address these issues directly by conducting both ex- and in-situ research designed to advance our understanding of species while also detecting, diagnosing, and halting population declines in the wild. In particular, the distinct nature of zoological organizations uniquely positions them to make significant contributions to marine science. The ability to care for and access a diverse suite of marine species provides the opportunity to understand their behavior, biology, physiology, which can inform ex-situ investigations. Moreover, the broad skillsets of staff facilitate extensive collaborative research opportunities. These ongoing contributions to marine science have remained relatively underappreciated by others outside the community. Here we intend to raise awareness about these contributions and initiate further collaborative research opportunities. Building on an increasing body of literature, our goal is to curate a diverse portfolio of research that represents the contributions of zoos and aquariums to the field of marine science, and to highlight the novel qualities of these conservation-based organizations. These can broadly be divided into four main categories: i) Infrastructure - extensive capacity to care for a wide variety of animals, extensive veterinarian hospital spaces and equipment, advanced water quality and microbiology labs, research vessels, and the generation of funds through ticket sales and contributions; ii) Animal care - expertise in maintaining animals under professional human care including breeding, diverse veterinary expertise, development of species-specific research techniques relevant to the study of wild populations; iii) Dedicated research programs/personnel – typically focused on wild populations/ecosystems; and iv) Education and social science - policy and advocacy; education and outreach, large audiences to educate/engage on conservation issues, and inspiring the next generation of conservation champions/biologists. This will serve to further bring zoos and aquariums to the forefront as potential collaborators for other marine scientists conducting both in-situ and ex-situ research, particularly those studies that would benefit from the unique opportunities and rare and endangered species zoos and aquariums provide.
Spatiotemporal Modeling And Analysis In Marine Science
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Author : Junyu He
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-29
Spatiotemporal Modeling And Analysis In Marine Science written by Junyu He and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Science categories.
With the development of earth observation technologies (such as satellite remote sensing, unmanned aerial vehicle, autonomous underwater vehicle, etc.), an era of big data with important and non-negligible spatial/temporal attributes comes. Novel and rigorous spatiotemporal methodologies and models are needed to process and analyze marine big data. Since many marine environmental processes, such as pollutants diffusion, algae distributions etc., vary or evolve across spatiotemporal domains, detecting the distributions and patterns of marine fauna and, particularly in the coastal regions, will improve our understanding of marine systems and can be beneficial in marine environmental management. The goals of this Research Topic, therefore, are two-fold: (a) to develop methodologies and models in theory and applications, including spatiotemporal geostatistics, geographic information system, deep learning, etc.; (b) to quantitatively gain the knowledge of the marine environment. This Research Topic will provide a platform for researchers to share and exchange their new knowledge gained in a spatiotemporal domain of marine or coastal regions. This Research Topic will cover, but is not limited to, the following areas: • Spatiotemporal variations of physical/chemical/biological indicators (such as chlorophyll, temperature, salinity, colorful dissolved organic matter, suspended solids, nutrients, microplastic, etc.) in marine. • Spatiotemporal variations of potential fishing grounds in marine. • Spatiotemporal variations of the ecosystems in coastal regions, such as salt marshes, mangroves, seagrass, macroalgae, etc. • Spatiotemporal distributions of the pollutants (such as heavy metals, polycyclic aromatic hydrocarbon, etc.) in marine and sediments. • Spatiotemporal evolution pattern modeling and prediction of the marine disasters and abnormal phenomena (such as algal bloom, typhoons, SST anomalies, etc).
Coastal And Marine Pollution
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Author : Meththika Vithanage
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-03
Coastal And Marine Pollution written by Meththika Vithanage and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Science categories.
A multi-faceted analysis of how to preserve the long-term health of the world's largest ecosystem In Coastal and Marine Pollution: Source to Sink, Mitigation and Management, a team of distinguished researchers delivers a comprehensive overview of the factors and stakeholders impacting—and impacted by—coastal and marine pollution. The book offers broad and up-to-date coverage of the topic, serving as a valuable reference for professionals and researchers working in the field. The authors integrate and compare the two main sources of marine and coastal pollution: chronic, long-term, low-level pollution as well as occasional, accidental, disaster-related pollution. They bridge the gap between theory and real-world action, offering best practices for monitoring and preventing pollution, as well as efficient governance and disaster management strategies. Readers will find: A thorough overview of the global state of coastal and marine pollution Comprehensive explorations of different types of pollution, including their sources, distribution, and impacts on the biophysical environment Practical discussions of pollution monitoring methods, including ecotoxicological approaches and proven strategies for managing coastal and marine pollution A ritical assessment of policy and governance issues, including public awareness and disaster response strategies Perfect for researchers and professionals in the fields of marine biology, ecology, and environmental protection, Coastal and Marine Pollution will also benefit professionals working in the shipping, fishing, and deep-sea mining and drilling industries, as well as those affiliated with governmental and non-governmental organizations.