Special Issue "Scientific Data Processing and Analysis"
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 December 2023 | Viewed by 3109
Special Issue Editor
Interests: data science; deep learning; artificial intelligence; geoinformation systems; web technologies
Special Issue Information
This Special Issue is devoted to the methods and algorithms for processing and analyzing scientific data. Scientific data cover observational, experimental, and simulation data, including but not limited to remote sensing data, sensor data (IoT), texts, images, and video and audio obtained in the course of research carried out by scientists. Data collection and data cleaning methods, data engineering, machine learning, deep learning, big data management and processing technologies, and cloud, parallel, and distributed computing can be used for processing. Particularly welcome will be works associated with the sharing and reuse of scientific data. This Special Issue aims to provide a forum for the academic community to present and discuss theories, architecture, techniques, and applications of scientific data.
Dr. Igor V. Bychkov
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. Applied Sciences 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 2300 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.
- data analysis
- machine learning
- deep learning
- data engineering
- data management and processing
- data science