The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …

The globally widespread adoption of Artificial Light at Night (ALAN) began in the mid‐20th
century. Yet, it is only in the last decade that a renewed research focus has emerged into its …

Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

Aquatic ecologists face challenges in identifying the general rules of the functioning of
ecosystems. A common framework, including freshwater, marine, benthic, and pelagic …

The increased availability of mapped environmental data calls for better tools to analyze the
spatial characteristics and information contained in those maps. Publicly available, user …

The rise of in situ plankton imaging systems, particularly high‐volume imagers such as the In
Situ Ichthyoplankton Imaging System, has increased the need for fast processing and …

Optical particle measurements are emerging as an important technique for understanding
the ocean carbon cycle, including contributions to estimates of their downward flux, which …

In recent years, deep sea and ocean explorations have attracted more attention in the
marine industry. Most of the marine vehicles, including robots, submarines, and ships, would …

The acquisition of increasingly large plankton digital image datasets requires automatic
methods of recognition and classification. As data size and collection speed increases …

Imaging techniques are increasingly used in ecology studies, producing vast quantities of
data. Inferring functional traits from individual images can provide original insights on …