Deep Learning For Marine Science

Author : Haiyong Zheng,Mark C. Benfield,Hongsheng Bi ,Xuemin Cheng
Publisher : Frontiers Media SA
Page : 555 pages
File Size : 50,7 Mb
Release : 2024-05-15
Category : Science
ISBN : 9782832549056

Get Book

Deep Learning for Marine Science by Haiyong Zheng,Mark C. Benfield,Hongsheng Bi ,Xuemin Cheng Pdf

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,Fan Wang
Publisher : Springer Nature
Page : 351 pages
File Size : 52,7 Mb
Release : 2023-02-03
Category : Science
ISBN : 9789811963759

Get Book

Artificial Intelligence Oceanography by Xiaofeng Li,Fan Wang Pdf

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 : Robert B. Fisher,Yun-Heh Chen-Burger,Daniela Giordano,Lynda Hardman,Fang-Pang Lin
Publisher : Springer
Page : 319 pages
File Size : 41,7 Mb
Release : 2016-03-24
Category : Technology & Engineering
ISBN : 9783319302089

Get Book

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data by Robert B. Fisher,Yun-Heh Chen-Burger,Daniela Giordano,Lynda Hardman,Fang-Pang Lin Pdf

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 : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Nature
Page : 360 pages
File Size : 49,9 Mb
Release : 2019-10-23
Category : Technology & Engineering
ISBN : 9783030317607

Get Book

Deep Learning: Algorithms and Applications by Witold Pedrycz,Shyi-Ming Chen Pdf

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 : Junyu He,Xi Xiao,Zhenhong Du
Publisher : Frontiers Media SA
Page : 175 pages
File Size : 42,8 Mb
Release : 2023-11-29
Category : Science
ISBN : 9782832537442

Get Book

Spatiotemporal Modeling and Analysis in Marine Science by Junyu He,Xi Xiao,Zhenhong Du Pdf

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 : Dongmei Huang,Guoliang Zou
Publisher : World Scientific Publishing Company
Page : 364 pages
File Size : 53,6 Mb
Release : 2019
Category : Computers
ISBN : 9811202486

Get Book

Marine Big Data by Dongmei Huang,Guoliang Zou Pdf

As the volume of marine big data has increased dramatically, one of the main concerns is how to fully exploit the value of such data in the development of marine economy and marine science and technology. The book covers data acquisition, feature classification, processing and applications of marine big data in evaluation and decision-making, using case studies such as storm surge and marine oil spill disaster.

Author : William W. Hsieh
Publisher : Cambridge University Press
Page : 364 pages
File Size : 42,5 Mb
Release : 2009-07-30
Category : Computers
ISBN : 9780521791922

Get Book

Machine Learning Methods in the Environmental Sciences by William W. Hsieh Pdf

A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.

Author : Yadav, Sudesh,Yadav, Satya Prakash,Raj, Pethuru,Tiwari, Prabhakar,Albuquerque, Victor Hugo C. de
Publisher : IGI Global
Page : 428 pages
File Size : 50,5 Mb
Release : 2023-12-29
Category : Science
ISBN : 9798369318515

Get Book

Novel AI Applications for Advancing Earth Sciences by Yadav, Sudesh,Yadav, Satya Prakash,Raj, Pethuru,Tiwari, Prabhakar,Albuquerque, Victor Hugo C. de Pdf

The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences. This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency.

Author : Elisabeth Marijke Anne Strain,Laura Airoldi,Kenneth Mei Yee Leung,Allyson O’Brien,Camille White
Publisher : Frontiers Media SA
Page : 202 pages
File Size : 52,5 Mb
Release : 2022-07-04
Category : Science
ISBN : 9782889764907

Get Book

Marine Pollution - Emerging Issues and Challenges by Elisabeth Marijke Anne Strain,Laura Airoldi,Kenneth Mei Yee Leung,Allyson O’Brien,Camille White Pdf

Author : Jun Li,Zhengguang Zhang,Lulu Qiao,Andrei Herdean
Publisher : Frontiers Media SA
Page : 174 pages
File Size : 54,6 Mb
Release : 2022-03-30
Category : Science
ISBN : 9782889747801

Get Book

Neural Computing and Applications to Marine Data Analytics by Jun Li,Zhengguang Zhang,Lulu Qiao,Andrei Herdean Pdf

Author : Muhammad Dawood Shah,Julian Ransangan,Balu Alagar Venmathi Maran
Publisher : Springer Nature
Page : 359 pages
File Size : 49,6 Mb
Release : 2023-05-29
Category : Science
ISBN : 9789819906246

Get Book

Marine Biotechnology: Applications in Food, Drugs and Energy by Muhammad Dawood Shah,Julian Ransangan,Balu Alagar Venmathi Maran Pdf

This contributed volume covers the applications of marine biotechnology for food, drugs and energy production using marine resources. It introduces many aspects of marine biotechnology, including bioenergy, pharmaceutical development, food security from mariculture, pollution handling, legal issues and conflicts. Information in the book is accompanied by clear images, flow charts, quantitative and qualitative data. Marine biotechnology is essential for realizing the previously untapped potential of marine bio-resources. These resources are used to develop innovative goods and procedures that aid in the global management of food, energy, and disease management. The development of innovative tools and solutions for more sustainable marine environmental management is another important section of this title. This reference book is of interest to teachers, researchers, and climate change scientists. It serves as an additional reading material for college, undergraduate, and graduate students of marine science and aquaculture. This is also a good research guide for food and fishing industry scientists.

Author : Xuebo Zhang,Haixin Sun,Arata Kaneko
Publisher : Frontiers Media SA
Page : 281 pages
File Size : 46,7 Mb
Release : 2023-07-04
Category : Science
ISBN : 9782832528747

Get Book

Ocean observation based on underwater acoustic technology by Xuebo Zhang,Haixin Sun,Arata Kaneko Pdf

Author : Géraldine Fauville,Diana L. Payne,Meghan E. Marrero,Annika Lantz-Andersson,Fiona Crouch
Publisher : Springer
Page : 452 pages
File Size : 51,9 Mb
Release : 2018-06-28
Category : Science
ISBN : 9783319907789

Get Book

Exemplary Practices in Marine Science Education by Géraldine Fauville,Diana L. Payne,Meghan E. Marrero,Annika Lantz-Andersson,Fiona Crouch Pdf

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 : Carlos Guedes Soares,Tiago A. Santos
Publisher : CRC Press
Page : 715 pages
File Size : 48,8 Mb
Release : 2024-05-08
Category : Technology & Engineering
ISBN : 9781040125892

Get Book

Advances in Maritime Technology and Engineering by Carlos Guedes Soares,Tiago A. Santos Pdf

Advances in Maritime Technology and Engineering comprises a collection of the papers presented at the 7th International Conference on Maritime Technology and Engineering (MARTECH 2024) held in Lisbon, Portugal, on 14-16 May 2024. This Conference has evolved from the series of biannual national conferences in Portugal, which have become an international event, reflecting the internationalization of the maritime sector and its activities. MARTECH 2024 is the seventh of this new series of biannual conferences. This book comprises 142 contributions that were reviewed by an International Scientific Committee. Advances in Maritime Technology and Engineering is dedicated to maritime transportation, ports as well as maritime safety and reliability. It further comprises sections dedicated to ship design, cruise ship design, and to the structural aspects of ship design, such as ultimate strength and composites, subsea structures as pipelines, and to ship building and ship repair. The Proceedings in Marine Technology and Ocean Engineering series is dedicated to the publication of proceedings of peer-reviewed international conferences dealing with various aspects of “Marine Technology and Ocean Engineering”. The series includes the proceedings of the following conferences: the International Maritime Association of the Mediterranean (IMAM) conferences, the Marine Structures (MARSTRUCT) conferences, the Renewable Energies Offshore (RENEW) conferences and the Maritime Technology (MARTECH) conferences. The “Marine Technology and Ocean Engineering” series is also open to new conferences that cover topics on the sustainable exploration of marine resources in various fields, such as maritime transport and ports, usage of the ocean including coastal areas, nautical activities, the exploration and exploitation of mineral resources, the protection of the marine environment and is resources, and risk analysis, safety and reliability. The aim of the series is to stimulate advanced education and training through the wide dissemination of the results of scientific research.

Author : Anis Koubaa,Ahmad Taher Azar
Publisher : Springer Nature
Page : 731 pages
File Size : 46,8 Mb
Release : 2021-10-01
Category : Technology & Engineering
ISBN : 9783030779399

Get Book

Deep Learning for Unmanned Systems by Anis Koubaa,Ahmad Taher Azar Pdf

This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets. In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS) The book chapters present various techniques of deep learning for robotic applications. The book chapters contain a good literature survey with a long list of references. The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques. The book chapters are lucidly illustrated with numerical examples and simulations. The book chapters discuss details of applications and future research areas.