Image-based machine learning methods are becoming among the most widely-used forms
of data analysis across science, technology, engineering, and industry. These methods are …

The analysis of image data for benthic biodiversity monitoring is now commonplace within
the domain of marine ecology. Whilst advances in imaging technologies have allowed for …

The digital economy plays an important role in promoting the high quality and sustainable
development of the marine fishery economy. Based on the panel data of the digital economy …

We introduce FathomGPT, an open source system for the interactive investigation of ocean
science data via a natural language interface. FathomGPT was developed in close …

Generative AI could enhance scientific discovery by supporting knowledge workers in
science organizations. However, the real-world applications and perceived concerns of …

Can computer vision help us explore the ocean? The ultimate challenge for computer vision
is to recognize any visual phenomena, more than only the objects and animals humans …

Automating identification of benthic habitats from imagery, with Machine Learning (ML), is
necessary to contribute efficiently and effectively to marine spatial planning. A promising …

One of the main problems that arise in the process of extracting marine species during the
closed seasons is the indiscriminate loading of marine species that are prohibited because …

One of the main problems that arise in the process of extracting marine species during the
closed seasons is the indiscriminate loading of marine species that are prohibited because …

The deep sea is the largest ecosystem on the planet, comprising more than 90% of the
volume that life can inhabit, yet it is the least explored biome in the world. The deep sea …