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Author: Haiyong Zheng
Publisher: Frontiers Media SA
ISBN: 283255640X
Category : Science
Languages : en
Pages : 390
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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
Get Book Here
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
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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: Tong Lee
Publisher: Frontiers Media SA
ISBN: 2889631192
Category : Science
Languages : en
Pages : 629
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Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author: Shubha Sathyendranath
Publisher: Frontiers Media SA
ISBN: 2832556728
Category : Science
Languages : en
Pages : 438
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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
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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: Pentti Kujala
Publisher: CRC Press
ISBN: 0429803257
Category : Technology & Engineering
Languages : en
Pages : 512
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Book Description
This is volume 2 of a 2-volume set. Marine Design XIII collects the contributions to the 13th International Marine Design Conference (IMDC 2018, Espoo, Finland, 10-14 June 2018). The aim of this IMDC series of conferences is to promote all aspects of marine design as an engineering discipline. The focus is on key design challenges and opportunities in the area of current maritime technologies and markets, with special emphasis on: • Challenges in merging ship design and marine applications of experience-based industrial design • Digitalisation as technological enabler for stronger link between efficient design, operations and maintenance in future • Emerging technologies and their impact on future designs • Cruise ship and icebreaker designs including fleet compositions to meet new market demands To reflect on the conference focus, Marine Design XIII covers the following research topic series: •State of art ship design principles - education, design methodology, structural design, hydrodynamic design; •Cutting edge ship designs and operations - ship concept design, risk and safety, arctic design, autonomous ships; •Energy efficiency and propulsions - energy efficiency, hull form design, propulsion equipment design; •Wider marine designs and practices - navy ships, offshore and wind farms and production. Marine Design XIII contains 2 state-of-the-art reports on design methodologies and cruise ships design, and 4 keynote papers on new directions for vessel design practices and tools, digital maritime traffic, naval ship designs, and new tanker design for arctic. Marine Design XIII will be of interest to academics and professionals in maritime technologies and marine design.
Author: Stephanie Brodie
Publisher: Frontiers Media SA
ISBN: 2889763013
Category : Science
Languages : en
Pages : 506
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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: Brivaela Moriceau
Publisher: Frontiers Media SA
ISBN: 2832553788
Category : Science
Languages : en
Pages : 181
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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: Paolo Favali
Publisher: Frontiers Media SA
ISBN: 283253029X
Category : Science
Languages : en
Pages : 265
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Book Description
Author: Junyu He
Publisher: Frontiers Media SA
ISBN: 2832537448
Category : Science
Languages : en
Pages : 175
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Book Description
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).
