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PowerPoint: Machine Learning for Big Fishery Visual Data …

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PowerPoint: Utilizing Wireless Technologies to Monitor New England Groundfish Once a profitable fishery supporting coastal communities, the groundfish fishery in New England is in crisis. One factor is the mixed stock nature of the fishery where stocks with low catch limits constrain the harvest of more abundant stocks. In addition, climate-mediated changes in this region are unprecedented, and …

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PowerPoint: Integrated Operational Approach to EM & ER Onboard Fishing Vessels-Now and Tomorrow Fisheries management is plagued by lack of verifiable data for compliance and stock assessments. Low vessel observer coverage, and delays in data transfer, transcription, integration, and analysis are the norm. These problems hinder timely analysis and updates of fishing regulations relevant to …

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PowerPoint: Open Source Software Platform for Electronic Monitoring Sea State Inc. has developed a suite of software applications to support commercial fisheries electronic monitoring (EM) data acquisition, review, summarization and archival. This National Fish and Wildlife Foundation funded project, in partnership with Saltwater Inc. and Chordata LLC, provides a platform that is adaptable to …

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PowerPoint: Query Learning for Fish Identification In fishery community, image-classification-based supervised approaches have been well studied for species identification. However, the classifiers learned from one dataset usually cannot directly be applied for a new dataset since the data captured from different years or regions often have large difference, like different colors, camera …

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PowerPoint: Intelligent Monitoring Systems for Fishery Applications The Observer program at Alaska Fisheries Science Center have been conducting research and development of new innovative electronic monitoring (EM) technologies to help address challenges for collecting scientific data to support catch estimation. Work focuses on development of new camera-based systems, methods, and tools while …

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