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Author: Haiyong Zheng Publisher: Frontiers Media SA ISBN: 283255640X Category : Science Languages : en Pages : 390
Book Description
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.
Author: Haiyong Zheng Publisher: Frontiers Media SA ISBN: 283255640X Category : Science Languages : en Pages : 390
Book Description
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.
Author: Haiyong Zheng Publisher: Frontiers Media SA ISBN: 2832549055 Category : Science Languages : en Pages : 555
Book Description
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.
Author: Robert B. Fisher Publisher: Springer ISBN: 9783319302065 Category : Technology & Engineering Languages : en Pages : 0
Book Description
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.
Author: Stephanie Brodie Publisher: Frontiers Media SA ISBN: 2889763013 Category : Science Languages : en Pages : 506
Book Description
The Topic Editors Stephanie Brodie, Christopher Cvitanovic, Maria Grazia Pennino, Jon Lopez and André Frainer declare that they are members of the IMBeR (Integrated Marine Biosphere Research) network and IMECaN (Interdisciplinary Marine Early Career Network) and are collaborating with the IMBeR research community.
Author: Shubha Sathyendranath Publisher: Frontiers Media SA ISBN: 2832556728 Category : Science Languages : en Pages : 438
Book Description
Marine ecosystems are open and dissipative systems that rely on an external energy source – light – for their sustenance. The magnitude of the light flux and the spectral quality of the light field (which determines colour) determine the rate of marine photosynthesis by phytoplankton in the ocean, and the types of phytoplankton communities that flourish in different parts of the ocean and in different seasons. Ocean colour – determined by the spectral quality of light scattered out of the sea and back into the atmosphere – can be monitored using satellite sensors, and used to map the distribution of the major phytoplankton pigment, chlorophyll-a, at global scales. Remote sensing of ocean colour, first realised in 1977, has revolutionised the field of biological oceanography. Over the years, the quality of satellite products has continued to improve, and the range of products available has extended beyond chlorophyll concentration to encompass many variables of interest to biological oceanography and ocean biogeochemistry. However, it is well recognized that satellite observations have to be integrated with, and complemented by, field measurements and modelling, to obtain the full picture. The research topic proposed will cover a range of recent developments in ocean colour remote sensing and allied fields.
Author: Carlos Guedes Soares Publisher: CRC Press ISBN: 100045908X Category : Technology & Engineering Languages : en Pages : 1634
Book Description
This set of two volumes comprises the collection of the papers presented at the 5th International Conference on Maritime Technology and Engineering (MARTECH 2020) that was held in Lisbon, Portugal, from 16 to 19 November 2020. The Conference has evolved from the series of biennial national conferences in Portugal, which have become an international event, and which reflect the internationalization of the maritime sector and its activities. MARTECH 2020 is the fifth of this new series of biennial conferences. The set comprises 180 contributions that were reviewed by an International Scientific Committee. Volume 2 is dedicated to ship performance and hydrodynamics, including CFD, maneuvering, seakeeping, moorings and resistance. In addition, it includes sections on ship machinery, renewable energy, fishing and aquaculture, coastal structures, and waves and currents.
Author: Jonathan P. Zehr Publisher: Springer Nature ISBN: 303067746X Category : Science Languages : en Pages : 191
Book Description
This book aims to serve as a centralized reference document for students and researchers interested in aspects of marine nitrogen fixation. Although nitrogen is a critical element in both terrestrial and aquatic productivity, and nitrogen fixation is a key process that balances losses due to denitrification in both environments, most resources on the subject focuses on the biochemistry and microbiology of such processes and the organisms involved in the terrestrial environment on symbiosis in terrestrial systems, or on largely ecological aspects in the marine environment. This book is intended to provide an overview of N2 fixation research for marine researchers, while providing a reference on marine research for researchers in other fields, including terrestrial N2 fixation. This book bridges this knowledge gap for both specialists and non-experts, and provides an in-depth overview of the important aspects of nitrogen fixation as it relates to the marine environment. This resource will be useful for researchers in the specialized field, but also useful for scientists in other disciplines who are interested in the topic. It would provide a possible text for upper division classes or graduate seminars.
Author: Brivaela Moriceau Publisher: Frontiers Media SA ISBN: 2832553788 Category : Science Languages : en Pages : 181
Book Description
This is the second issue of the Research Topic: Biogeochemistry and Genomics of Silicification and Silicifiers. The first issue article collection can be found here: https://www.frontiersin.org/research-topics/5364/biogeochemistry-and-genomics-of-silicification-and-silicifiers Silicifiers are among the most important living organisms of planet Earth. They are able to take advantage of the abundance of silicon in the Earth crust to build silicified architectures, which in particular can help for protection against predators or for facilitating the penetration of light and nutrients to the cells.
Author: Géraldine Fauville Publisher: Springer ISBN: 3319907786 Category : Science Languages : en Pages : 459
Book Description
This edited volume is the premier book dedicated exclusively to marine science education and improving ocean literacy, aiming to showcase exemplary practices in marine science education and educational research in this field on a global scale. It informs, inspires, and provides an intellectual forum for practitioners and researchers in this particular context. Subject areas include sections on marine science education in formal, informal and community settings. This book will be useful to marine science education practitioners (e.g. formal and informal educators) and researchers (both education and science).
Author: Haiyong Zheng
Author: Haiyong Zheng
Author: Haiyong Zheng
Author: Robert B. Fisher
Author: Stephanie Brodie
Author: Shubha Sathyendranath
Author: Carlos Guedes Soares
Author: Jonathan P. Zehr
Author: Brivaela Moriceau
Author: Paolo Favali
Author: Géraldine Fauville