Machine Learning and Big Data in Geosciences
A special issue of Smart Cities (ISSN 2624-6511). This special issue belongs to the section "Smart Data".
Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 6863
Special Issue Editors
Interests: smart city; smart energy; smart water; smart infrastructures; civil engineering
Special Issues, Collections and Topics in MDPI journals
Interests: offshore foundations; offshore wind turbines; machine learning; reliability-based design
Special Issues, Collections and Topics in MDPI journals
Interests: geotechnical engineering; numerical modelling; geo-data; risque assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The geosciences have been largely driven by the use of data. Recent scientific and professional developments in data acquisition in the geosciences and data analysis using big data and machine learning open new opportunities for an intensive use of data in geosciences. This Special Issue aims to share the latest research on the development and application of big data and machine learning methods in geosciences and related fields. We are pleased to invite you to submit a paper for this Special Issue titled “Big Data and Machine Learning in Geosciences”, which aims to share the latest scientific and professional developments and applications in the use of massive data in the geosciences and related fields, with a focus on the following issues:
- Role of data science in solving traditional and emergent problems in geosciences.
- Progresses in data collection in geoscience (remote sensing, smart sensors, open data, social media, and mobile applications).
- Specificities and patterns of data in geosciences, data cleaning.
- Combination of geoscience-based design methods with artificial intelligence methods (machine learning and deep learning).
- Role of visualization and visual analytics in geosciences
- Needs and perspectives for the use of data in geosciences.
Prof. Dr. Isam Shahrour
Dr. Zhongqiang Liu
Dr. Hanbing Bian
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Smart Cities is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- big data
- machine learning
- massive data
- geosciences
- monitoring
- visualization
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