Aug 3, 2023 · Through this coverage of the literature, we demonstrate an increase in the proportion of marine ecology studies that use machine learning, the pervasiveness of images as a data source, …

Future Perspectives The future of AI-driven marine research holds tremendous promise, with emerging technologies poised to revolutionize our understanding of ocean ecosystems. Machine learning …

Aug 1, 2025 · Artificial intelligence (AI) plays a transformative role in the identification and conservation of aquatic species. By synthesizing recent advancements, this paper highlights the effectiveness of …

Sep 13, 2021 · Machine learning is becoming a widely used tool for the analysis of biological data. However, for experimentalists, proper use of machine learning methods can be challenging. This …

Dec 17, 2025 · Machine learning algorithms are particularly effective in recognising patterns and anomalies in data, which helps in identifying different species and understanding their distribution …

Mar 12, 2024 · For instance, machine learning algorithms trained on underwater images can accurately distinguish between species, even in cases where subtle differences make manual identification …

May 18, 2022 · Keywords: artificial intelligence algorithms, machine learning, deep learning, marine science, marine data Citation: Jiang M and Zhu Z (2022) The Role of Artificial Intelligence Algorithms …

The use of long-term underwater passive acoustic monitoring (PAM) recording has grown in the last couple of decades to become an indispensable tool for investigating relative population trends and …

This paper aims to demonstrate various examples of AI applications in marine science. Computer vision, for instance, can be used in marine species monitoring, as well as automated identification and …

For marine scientists and researchers, ML tools have accelerated the pace of discovery, allowing them to analyze decades of collected data in mere hours. This has revealed previously unknown patterns …