Applications of Machine Learning in Chemical and Biological Oceanography

09/23/2022
by   Balamurugan Sadaiappan, et al.
0

Machine learning (ML) refers to computer algorithms that predict a meaningful output or categorise complex systems based on a large amount of data. ML applied in a variety of areas, including natural science, engineering, space exploration, and even gaming development. This article focused on the use of machine learning in the field of chemical and biological oceanography. In the prediction of global fixed nitrogen levels, partial carbon dioxide pressure, and other chemical properties, the application of ML is a promising tool. Machine learning is also utilised in the field of biological oceanography to detect planktonic forms from various images (i.e., microscopy, FlowCAM and video recorder), spectrometers, and other signal processing techniques. Moreover, ML successfully classified the mammals using their acoustics, detecting endangered mammalian and fish species in a specific environment. Most importantly, using environmental data, the ML proved to be an effective method for predicting hypoxic conditions and the harmful algal bloom events, an important measurement in terms of environmental monitoring. Furthermore, machine learning was used to construct a number of databases for various species that will be useful to other researchers, and the creation of new algorithms will help the marine research community better comprehend the chemistry and biology of the ocean.

READ FULL TEXT

page 14

page 19

page 23

page 27

page 30

research
05/11/2019

Machine learning in acoustics: a review

Acoustic data provide scientific and engineering insights in fields rang...
research
08/18/2022

In Silico Prediction of Blood-Brain Barrier Permeability of Chemical Compounds through Molecular Feature Modeling

The introduction of computational techniques to analyze chemical data ha...
research
08/20/2023

Towards Sustainable Development: A Novel Integrated Machine Learning Model for Holistic Environmental Health Monitoring

Urbanization enables economic growth but also harms the environment thro...
research
09/06/2022

Use and Misuse of Machine Learning in Anthropology

Machine learning (ML), being now widely accessible to the research commu...
research
06/25/2022

Machine Learning-based Biological Ageing Estimation Technologies: A Survey

In recent years, there are various methods of estimating Biological Age ...
research
07/25/2023

Scaling machine learning-based chemical plant simulation: A method for fine-tuning a model to induce stable fixed points

Idealized first-principles models of chemical plants can be inaccurate. ...

Please sign up or login with your details

Forgot password? Click here to reset