Recent Advances and Applications of Big Data and Distributed Computing Systems
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2588
Special Issue Editors
Interests: data fusion; computer vision; underground space; tunneling; rock engineering
Special Issues, Collections and Topics in MDPI journals
Interests: big data; excavation; tunneling; numerical simulation; numerical modeling
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; big data in tunneling; tunnel mechanics
Special Issues, Collections and Topics in MDPI journals
Interests: neural network model; 3D computer vision; numerical modeling; geotechnical engineering; distributed computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of data collection technology in construction has attracted the attention of industry, academia, and governments, leading to an explosive growth of infrastructure data. The volume of big data thus far exceeds the processing capacity of traditional computer technology and information systems. Big data offer insights that cannot be derived from small data sets. Intelligent analysis and the interpretation of big data can greatly benefit science and industry, improve management decision making, and bring economic gains. Distributed computing systems are also an important means of processing big data. With this technology, computing resources can be effectively allocated according to data characteristics and computational efficiency, achieving optimized big data processing. Therefore, this Special Issue will focus on scientific issues and applications related to big data and distributed computing system, especially those technologies that aid in infrastructure construction and management.
Original research articles and reviews are welcome. Research areas may include (but not limited to) the following:
- Collection and analyzing of big data;
- Development and capabilities of distributed computing systems;
- Data optimization;
- Data fusion technology;
- Machine learning technologies and applications;
- Data security;
- Deep learning technologies and applications;
- Intelligent collection and analysis of infrastructure data;
- Distributed computing;
- Data for infrastructure engineering life cycle;
- Artificial intelligence analysis;
- Technical application of distributed computing;
- Optimization of computing networks.
We look forward to receiving your contributions.
Dr. Jiayao Chen
Prof. Dr. Qian Fang
Prof. Dr. Dongming Zhang
Dr. Mingliang Zhou
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. Big Data and Cognitive Computing 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 1800 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 optimization
- data fusion
- artificial intelligence
- machine learning
- infrastructure engineering
- distributed computing
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