A5012646260- Marine and fisheries research
- Identification and Quantification in Food
- Fish Ecology and Management Studies
- Water Quality Monitoring Technologies
- Parasite Biology and Host Interactions
- Fish Biology and Ecology Studies
- Engineering and Environmental Studies
- Echinoderm biology and ecology
- Aquaculture Nutrition and Growth
- Marine animal studies overview
- Connective tissue disorders research
- Environmental and Biological Research in Conflict Zones
- Arctic and Russian Policy Studies
- Technology, Environment, Urban Planning
- Ichthyology and Marine Biology
- Point processes and geometric inequalities
- Plant Ecology and Soil Science
- Collagen: Extraction and Characterization
- Marine and Coastal Ecosystems
- Coral and Marine Ecosystems Studies
- Aquaculture disease management and microbiota
- Ship Hydrodynamics and Maneuverability
- Marine Bivalve and Aquaculture Studies
- Fish biology, ecology, and behavior
- Liver physiology and pathology
Wageningen University & Research
2023-2024
Technical University of Denmark
2017-2022
Moscow State Institute of International Relations
2020
Abstract Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks the increase amount data and computing power available, it has become pervasive across scientific disciplines. We first highlight why machine is needed marine ecology. Then we provide quick primer on techniques vocabulary. built database ∼1000 publications implement such analyse ecology For various types (images, optical spectra, acoustics, omics, geolocations, biogeochemical...
Abstract During the 2010s, Atlantic cod Gadus morhua L. in eastern Baltic Sea experienced increasing infection loads of parasitic nematode Contracaecum osculatum (Rudolphi) their livers. Starting 2021, a mandatory part routine sampling protocol on monitoring surveys is to assign liver category individual livers, based number nematodes visible surface, follow spatiotemporal changes loads. The validity method has never been evaluated. Based data from 642 was verified and found be good...
Bycatch in demersal trawl fisheries challenges their sustainability despite the implementation of various gear technical regulations. A step towards extended control over catch process can be established through a real-time monitoring tool that will allow fishers to react unwanted compositions. In this study, for first time commercial fishery sector, we introduce an automated description leverages state-of-the-art region based convolutional neural network (Mask R-CNN) architecture and builds...
Catch monitoring during demersal trawling is important to help fishers around the globe cope with high bycatches. Information about catch composition towing will allow identify and react presence of unwanted undertake actions avoid them trawling. In trawl fisheries, by optical devices typically challenged poor quality underwater observations due sediment mobilized process. this study we develop, test quantify effect a modification including suppressing sheet an in-trawl image acquisition...
Underwater video monitoring systems are being widely used in fisheries to investigate fish behavior relation fishing gear and performance during fishing. Such can be useful evaluate the catch composition as well. In demersal trawl fisheries, however, their applicability challenged by low light conditions, mobilized sediment scattering murky waters. this study, we introduce a novel observation system (called NepCon) which aims at reducing current limitations combining an optimized image...
Abstract Sustainable management of aquatic resources requires efficient acquisition and processing vast amounts information to check the compliance fishing activities with regulations. Recent implementation European Common Fisheries Policy Landing Obligation implies declaration all listed species sizes at harbour. To comply such regulation, fishers need collect store discards onboard vessel, which results in additional time, labour demands, costs. In this study, we presented a system that...
In recent years, powerful data-driven deep-learning techniques have been developed and applied for automated catch registration. However, these methods are dependent on the labelled data, which is time-consuming, labour-intensive, expensive to collect need expert knowledge. this study, we present an active learning technique, named BoxAL, includes estimation of epistemic certainty Faster R-CNN object-detection model. The method allows selecting most uncertain training images from unlabeled...
Fisheries science aims to understand and manage marine natural resources. It relies on resource-intensive sampling data analysis. Within this context, the emergence of machine learning (ML) systems holds significant promise for understanding disparate components these ecosystems gaining a greater their dynamics. The goal paper is present review ML applications in fisheries science. highlights both advantages over conventional approaches drawbacks, particularly terms operationality possible...
The article analyzes the relationship between development of large energy business, and concept sustainable in modern conditions. main aspects social ethical marketing are discussed its significance for business is revealed. concepts corporate responsibility their interdependence analyzed, characteristics fundamental international documents this area given. Socio-ethical becoming an essential tool responsibility. In turn, contribution implementation development, especially companies oil gas...