Deep Learning For Marine Science
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Author | : Haiyong Zheng |
Publisher | : Frontiers Media SA |
Total Pages | : 555 |
Release | : 2024-05-15 |
Genre | : Science |
ISBN | : 2832549055 |
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 | : Xiaofeng Li |
Publisher | : Springer Nature |
Total Pages | : 351 |
Release | : 2023-02-03 |
Genre | : Science |
ISBN | : 9811963754 |
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.
Author | : Jacques Blanc-Talon |
Publisher | : Springer |
Total Pages | : 772 |
Release | : 2017-11-22 |
Genre | : Computers |
ISBN | : 3319703536 |
This book constitutes the refereed proceedings of the 18th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2017, held in Antwerp, Belgium, in September 2017. The 63 full papers presented in this volume were carefully selected from 134 submissions. They deal with human-computer interaction; classification and recognition; navigation, mapping, robotics, and transports; video processing and retrieval; security, forensics, surveillance; and image processing.
Author | : Robert B. Fisher |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-04-04 |
Genre | : Technology & Engineering |
ISBN | : 9783319302065 |
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 | : William L. Michaels |
Publisher | : |
Total Pages | : 99 |
Release | : 2019 |
Genre | : Artificial intelligence |
ISBN | : |
Author | : William W. Hsieh |
Publisher | : Cambridge University Press |
Total Pages | : 364 |
Release | : 2009-07-30 |
Genre | : Computers |
ISBN | : 0521791928 |
A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
Author | : Junyu He |
Publisher | : Frontiers Media SA |
Total Pages | : 175 |
Release | : 2023-11-29 |
Genre | : Science |
ISBN | : 2832537448 |
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).
Author | : Witold Pedrycz |
Publisher | : Springer |
Total Pages | : 360 |
Release | : 2019-11-04 |
Genre | : Technology & Engineering |
ISBN | : 9783030317591 |
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.
Author | : Géraldine Fauville |
Publisher | : Springer |
Total Pages | : 459 |
Release | : 2018-06-28 |
Genre | : Science |
ISBN | : 3319907786 |
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 | : Sherri Seligson |
Publisher | : |
Total Pages | : 0 |
Release | : 2021 |
Genre | : Creationism |
ISBN | : 9781946506610 |
Apologia’s Marine Biology course is one of the few homeschool science courses that include an entire education on ecology. It gives students self-directed learning tools to ensure that they thrive and master key science concepts. God designed the earth’s intricate ecosystem for his glory and the needs of those He created, and it is crucial for Christians in our day to accurately understand the ocean’s ecosystems and resources and how we can best steward them.--Publisher