Machine learning (ML) refers to computer algorithms that predict a meaningful output or
categorize complex systems based on a large amount of data. ML is applied in various …

AI-driven surveillance has emerged as a transformative approach for monitoring the health
and disease status of ocean organisms. With the increasing availability of data and …

To realize the potential of autonomous underwater robots that scale up our observational
capacity in the ocean, new techniques are needed. Fleets of autonomous robots could be …

In the last 40 years, remote sensing technology has evolved, significantly advancing ocean
observation and catapulting its data into the big data era. How to efficiently and accurately …

Plankton distributions are remarkably 'patchy'in the ocean. In this study, we investigated the
contrasting phytoplankton-zooplankton distributions in relation to wind mixing events in …

Deep convolutional neural networks have proven effective in computer vision, especially in
the task of image classification Nevertheless, the success is limited to supervised learning …

Climate change, and other human-induced impacts, are severely increasing the intensity
and occurrences of algal blooms in coastal regions (IPCC, 2022). Ocean warming, marine …

Fytoplankton danner oppblomstring over mesoskalaen (ofte< 37 000 km2), og derfor er
studier som har forskjelling oppløsning i tid og rom nødvendige. Ved å kombinere …

Computer vision based recognition systems in dynamically changing environments require
continuously updating datasets with novel detected categories while maintaining equally …

Artificial intelligence (AI) is the leading-edge technology for making intelligent machines.
Different sectors are leveraging the benefits of AI. Plastic pollution is a major environmental …