Deep Learning For Marine Science

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Deep Learning for Marine Science

Author : Haiyong Zheng
Publisher : Frontiers Media SA
ISBN 13 : 2832549055
Total Pages : 555 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Deep Learning for Marine Science by : Haiyong Zheng

Download or read book Deep Learning for Marine Science written by Haiyong Zheng and published by Frontiers Media SA. This book was released on 2024-05-15 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Oceanography

Author : Xiaofeng Li
Publisher : Springer Nature
ISBN 13 : 9811963754
Total Pages : 351 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence Oceanography by : Xiaofeng Li

Download or read book Artificial Intelligence Oceanography written by Xiaofeng Li and published by Springer Nature. This book was released on 2023-02-03 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatiotemporal Modeling and Analysis in Marine Science

Author : Junyu He
Publisher : Frontiers Media SA
ISBN 13 : 2832537448
Total Pages : 175 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Spatiotemporal Modeling and Analysis in Marine Science by : Junyu He

Download or read book Spatiotemporal Modeling and Analysis in Marine Science written by Junyu He and published by Frontiers Media SA. This book was released on 2023-11-29 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Marine Big Data

Author : Dongmei Huang
Publisher : World Scientific Publishing Company
ISBN 13 : 9789811202483
Total Pages : 364 pages
Book Rating : 4.2/5 (24 download)

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Book Synopsis Marine Big Data by : Dongmei Huang

Download or read book Marine Big Data written by Dongmei Huang and published by World Scientific Publishing Company. This book was released on 2019 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optics and Machine Vision for Marine Observation

Author : Hong Song
Publisher : Frontiers Media SA
ISBN 13 : 2832533299
Total Pages : 324 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Optics and Machine Vision for Marine Observation by : Hong Song

Download or read book Optics and Machine Vision for Marine Observation written by Hong Song and published by Frontiers Media SA. This book was released on 2023-10-13 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modern Marine Science

Author : Lisa Yount
Publisher : Infobase Publishing
ISBN 13 : 1604130660
Total Pages : 225 pages
Book Rating : 4.6/5 (41 download)

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Book Synopsis Modern Marine Science by : Lisa Yount

Download or read book Modern Marine Science written by Lisa Yount and published by Infobase Publishing. This book was released on 2006 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identifies specific scientists and their contributions to advances and discoveries in marine science.

Novel AI Applications for Advancing Earth Sciences

Author : Yadav, Sudesh
Publisher : IGI Global
ISBN 13 :
Total Pages : 428 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Novel AI Applications for Advancing Earth Sciences by : Yadav, Sudesh

Download or read book Novel AI Applications for Advancing Earth Sciences written by Yadav, Sudesh and published by IGI Global. This book was released on 2023-12-29 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Science of Deep Learning

Author : Iddo Drori
Publisher : Cambridge University Press
ISBN 13 : 110889044X
Total Pages : 361 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis The Science of Deep Learning by : Iddo Drori

Download or read book The Science of Deep Learning written by Iddo Drori and published by Cambridge University Press. This book was released on 2022-08-18 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

A Biologist’s Guide to Artificial Intelligence

Author : Ambreen Hamadani
Publisher : Elsevier
ISBN 13 : 0443240000
Total Pages : 370 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis A Biologist’s Guide to Artificial Intelligence by : Ambreen Hamadani

Download or read book A Biologist’s Guide to Artificial Intelligence written by Ambreen Hamadani and published by Elsevier. This book was released on 2024-03-15 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence

Marine Pollution - Emerging Issues and Challenges

Author : Elisabeth Marijke Anne Strain
Publisher : Frontiers Media SA
ISBN 13 : 2889764907
Total Pages : 202 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Marine Pollution - Emerging Issues and Challenges by : Elisabeth Marijke Anne Strain

Download or read book Marine Pollution - Emerging Issues and Challenges written by Elisabeth Marijke Anne Strain and published by Frontiers Media SA. This book was released on 2022-07-04 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Computing and Applications to Marine Data Analytics

Author : Jun Li
Publisher : Frontiers Media SA
ISBN 13 : 2889747808
Total Pages : 174 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Neural Computing and Applications to Marine Data Analytics by : Jun Li

Download or read book Neural Computing and Applications to Marine Data Analytics written by Jun Li and published by Frontiers Media SA. This book was released on 2022-03-30 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Marine Biotechnology: Applications in Food, Drugs and Energy

Author : Muhammad Dawood Shah
Publisher : Springer Nature
ISBN 13 : 9819906245
Total Pages : 359 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Marine Biotechnology: Applications in Food, Drugs and Energy by : Muhammad Dawood Shah

Download or read book Marine Biotechnology: Applications in Food, Drugs and Energy written by Muhammad Dawood Shah and published by Springer Nature. This book was released on 2023-05-29 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Maritime Technology and Engineering

Author : Carlos Guedes Soares
Publisher : CRC Press
ISBN 13 : 1040125891
Total Pages : 715 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Advances in Maritime Technology and Engineering by : Carlos Guedes Soares

Download or read book Advances in Maritime Technology and Engineering written by Carlos Guedes Soares and published by CRC Press. This book was released on 2024-05-08 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Ocean observation based on underwater acoustic technology

Author : Xuebo Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2832528740
Total Pages : 281 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Ocean observation based on underwater acoustic technology by : Xuebo Zhang

Download or read book Ocean observation based on underwater acoustic technology written by Xuebo Zhang and published by Frontiers Media SA. This book was released on 2023-07-04 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The discovery of the unknown planet: The ocean

Author : Paolo Favali
Publisher : Frontiers Media SA
ISBN 13 : 283253029X
Total Pages : 265 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis The discovery of the unknown planet: The ocean by : Paolo Favali

Download or read book The discovery of the unknown planet: The ocean written by Paolo Favali and published by Frontiers Media SA. This book was released on 2023-07-24 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Utilizing AI and Machine Learning for Natural Disaster Management

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Utilizing AI and Machine Learning for Natural Disaster Management by : Satishkumar, D.

Download or read book Utilizing AI and Machine Learning for Natural Disaster Management written by Satishkumar, D. and published by IGI Global. This book was released on 2024-04-29 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage.

Deep Learning for Unmanned Systems

Author : Anis Koubaa
Publisher : Springer Nature
ISBN 13 : 3030779394
Total Pages : 731 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Deep Learning for Unmanned Systems by : Anis Koubaa

Download or read book Deep Learning for Unmanned Systems written by Anis Koubaa and published by Springer Nature. This book was released on 2021-10-01 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.