Data Science and Big Data in Biology, Physical Science and Engineering II
A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 1966
Special Issue Editor
Interests: data science; big data; machine learning; deep learning; artificial intelligence (AI); cybersecurity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Currently, big data analysis represents one of the most important contemporary areas of development and research. Tremendous amounts of data are generated every single day from digital technologies and modern information systems, such as cloud computing and Internet of Things (IoT) devices. The analysis of these enormous amounts of data has become of crucial significance and requires a great deal of effort in order to extract valuable knowledge for decision-making, which, in turn, will make important contributions in both academia and industry.
Big data and data science have emerged due to the significant need for generating, storing, organising, and processing immense amounts of data. Data scientists strive to use artificial intelligence (AI) and machine learning (ML) approaches and models to enable computers to detect and identify what the data represents and detect patterns more quickly, efficiently, and reliably than humans.
The goal behind this Special Issue is to explore and discuss various principles, tools, and models in the context of data science, aside from the diverse and varied concepts and techniques relating to big data in biology, chemistry, biomedical engineering, physics, mathematics, and other areas that work with big data.
Related SI “Data Science and Big Data in Biology, Physical Science and Engineering”
https://www.mdpi.com/journal/technologies/special_issues/Data_Science_Biology
Dr. Mohammed Mahmoud
Guest Editor
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. Technologies is an international peer-reviewed open access monthly 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 1600 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
- data science
- big data
- machine learning
- artificial intelligence
