Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Deep Learning for Marine Science PDF full book. Access full book title Deep Learning for Marine Science by Haiyong Zheng. Download full books in PDF and EPUB format.
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: 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: Thomas G. Smith Publisher: ISBN: Category : Nature Languages : en Pages : 228
Book Description
Collection of 14 articles representing a cross-section of current research on beluga whales, Delphinapterus leucas, in North American waters.
Author: Erich Hoyt Publisher: Earthscan ISBN: 1849771944 Category : Business & Economics Languages : en Pages : 521
Book Description
'Erich Hoyt's handbook is an admirable, timely and highly welcome contribution.'Michael Stachowitsch, Marine EcologyWhat does it mean to save the whales if their habitat is left unprotected? Marine Protected Areas for Whales, Dolphins and Porpoises is the definitive handbook on this pressing issue and the first to bridge the gap between the disciplines of marine protected areas and cetacean conservation. It launches a new chapter in cetacean conservation with its investigation into the crucial habitat needs and protection requirements of some 84 species.The author, one of the world's foremost experts in this field, takes you around the world to investigate the promising results of the latest conservation research and the strategies for obtaining marine protected areas in coastal waters and on the high seas, using national legislation and regional and international conventions. This is an essential introduction, guide and reference work for those working to ensure a future for whales and dolphins.
Author: Publisher: Government Printing Office ISBN: 9780160939952 Category : Biodiversity Languages : en Pages : 200
Book Description
This is the first report of the Circumpolar Biodiversity Monitoring Program (CBMP) to summarize status and trends in biotic elements in the arctic marine environment. The effort has identified knowledge gaps in circumpolar biodiversity monitoring. CBMP is the cornerstone program of Conservation of Arctic Flora and Fauna (CAFF).
Author: Joseph R. Geraci Publisher: National Aquarium in Baltimore ISBN: 0977460908 Category : Marine mammals Languages : en Pages : 386
Book Description
Comprehensive manual for understanding and carrying out marine mammal rescue activities for stranded seals, manatees, dolphins, whales, or sea otters.
Author: Haiyong Zheng
Author: Haiyong Zheng
Author: 
Author: Thomas G. Smith
Author: 
Author: Erich Hoyt
Author: 
Author: International Whaling Commission
Author: Joseph R. Geraci
Author: Canadian Hydrographic Service
Author: Arctic Science and Technology Information System