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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: 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: Parks Canada Publisher: ISBN: Category : Aquatic animals Languages : en Pages : 112
Book Description
The National Marine Conservation Areas System Plan is an important step in the process of creating a finite network of national marine conservation areas. The plan sets out an approach for the system's design in which Canada's three bordering oceans and the Great Lakes have been divided into 29 distinct marine regions, with a long-term goal of having a national marine conservation area within each region. The plan also attempts to portray each marine region with descriptions of its wildlife, marine and coastal environments, and current status of conservation areas in the region. The appendix includes a glossary and a list of marine-associated species assigned a status by the Committee on the Status of Endangered Wildlife in Canada.
Author: Steven H. Ferguson Publisher: Springer Science & Business Media ISBN: 9048191211 Category : Science Languages : en Pages : 313
Book Description
In Arctic Canada, Hudson Bay is a site of great exploration history, aboriginal culture, and a vast marine wilderness supporting large populations of marine mammals and birds. These include some of the most iconic Arctic animals like beluga, narwhal, bowhead whales, and polar bears. Due to the challenges of conducting field research in this region, some of the mysteries of where these animals move, and how they are able to survive in such seemingly inhospitable, ice-choked habitats are just now being unlocked. For example, are polar bears being replaced by killer whales? This new information could not be more salient, as the Hudson Bay Region is undergoing rapid environmental change due to global warming, as well as increased pressures from industrial development interests. A Little Less Arctic brings together some of the world’s leading Arctic scientists to present the current state of knowledge on the physical and biological characteristics of Hudson Bay.
Author: Haiyong Zheng
Author: Haiyong Zheng
Author: 
Author: 
Author: RENEW (Canada)
Author: Canadian Hydrographic Service
Author: Randall R. Reeves
Author: V. M. Belʹkovich
Author: Arctic Science and Technology Information System
Author: Parks Canada
Author: Steven H. Ferguson