Artificial Intelligence in Geosciences

Open access

ISSN: 2666-5441

Artificial Intelligence in Geosciences

Open access

Artificial intelligence (AI) is one of the fastest growing disciplines in electronic information technology. Along with diversified data, AI-enabled technologies such as image processing, smart senso...

Artificial intelligence (AI) is one of the fastest growing disciplines in electronic information technology. Along with diversified data, AI-enabled technologies such as image processing, smart sensors, and intelligent inversion, are being tested by researchers in a wide variety of geosciences domains. These technologies have the potential to help geosciences move from qualitative to quantitative analysis. We believe that taking an interdisciplinary approach will deliver benefits to both geosciences and AI.

Artificial Intelligence in Geosciences is an open access journal providing an interdisciplinary forum where ideas and solutions related to artificial intelligence and its applications in geosciences can be shared and discussed. To support this discussion, we encourage authors to open source their code, data, and the labels used in AI.

We welcome both fundamental science and applied research describing the practical applications of AI methods in the fields of geology, rock physics, seismicity, hydrology, ecology, marine geosciences, planetary science, environment, volcanology, oceanography, remote sensing and GIS, and related areas.

Submissions to Artificial Intelligence in Geosciences may take the form of original research articles, review articles, perspective papers, or short communications, and a variety of topics will be considered. These include, but are not limited to:

  • AI-based decision support systems
  • AI-based precision geosciences
  • Smart sensors and the Internet of Things
  • Geosciences robotics and automation equipment
  • Geosciences knowledge-based systems
  • Computational intelligence in geosciences
  • AI in geosciences optimization management
  • Intelligent interfaces and human-machine interaction
  • Machine vision and image/signal processing
  • Machine learning and pattern recognition
  • Neural networks, fuzzy systems, neuro-fuzzy systems
  • Systems modeling and analysis
  • Expert systems in geosciences
  • Big data and cloud computing in geosciences
  • Automatic navigation and self-driving technology
  • High Performance Computing in the context of Machine Learning

Artificial Intelligence in Geosciences also welcomes suggestions and proposals for special issues.

The potential of self-supervised networks for random noise suppression in seismic data

Wavefield solutions from machine learned functions constrained by the Helmholtz equation

Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale

View all Scopus

News

Let’s welcome the first three Associate Editors of AIIG!

Learn more

Artificial Intelligence in Geosciences CiteScore 2022 Announced: 2.2

Learn more

Artificial Intelligence in Geosciences is now indexed in Scopus

View all

Article Collections

AI for disaster forecast

Learn more

AI for weather forecast

Learn more

AI for earthquake research

Learn more

View all

Articles by SDG

View all

Call for Papers

Special Issue on Data Driven Science Applied to Magmatic and Volcanic Systems

Submission deadline: 31 March 2024

Special Issue on AI in Geophysics

Submission deadline: May 30, 2024

View all

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.