Data-Driven Intelligence and Innovation in the Era of Cloud-Based AI
A special issue of Digital (ISSN 2673-6470).
Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 809
Special Issue Editors
Interests: computational intelligence; expert systems; multiagent systems; fuzzy theory; decision support systems; pattern recognition; neural networks; machine learning; intelligent optimization
Special Issues, Collections and Topics in MDPI journals
Interests: dynamic systems and chaos; network theory; complex artificial intelligence systems; socio-political complex systems; complexity in the economy; econophysics
Special Issues, Collections and Topics in MDPI journals
Interests: model-agnostic meta-learning; multi-task learning; real-time analytics; scalable and compassable privacy-preserving data mining; automated assessment and response systems; AI anomaly detection; AI malware analysis; AI IDS-IPS; AI forensics; AI in blockchain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advances of digital and communication technologies, combined with recent developments in the fields of machine/deep learning, predictive analytics, digital twin, and the related complex networks and graphs, have resulted in a new era of major innovations. This is due to the availability of many different systems that can analyze big volumes of data to reveal patterns, trends, and associations–especially in connection with human behavior and interactions. Merging machine learning capabilities with cloud-based platforms and environments in a SaaS (software-as-a-service) model, is offering unlimited potential. A big data revolution has arrived with the growth of the Internet, wireless networks, smartphones, social media, and other digital technologies.
This Special Issue focuses on both theoretical and practical aspects of data-driven intelligence and innovation and the provision of smart digital solutions.
Topics of interest include, but are not limited to the following:
- Data-driven intelligence
- Machine/deep learning innovations
- Merging cloud and AI
- Theoretical and practical advances of data mining
- Big data techniques and applications
- Complex networks (theory and applications)
- Complex graphs and systems (advances and applications)
- IoT/IIoT/Sensors data-driven intelligence and innovation
- Smart digital solutions
- Smart industry enabled technologies.
- Cloud and fog digital applications
- Intelligent remote monitoring/control of critical infrastructures
- Machine intelligence
- Intelligent blockchain applications
Prof. Dr. Lazaros Iliadis
Dr. Lykourgos Magafas
Dr. Konstantinos Demertzis
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. Digital is an international peer-reviewed open access quarterly 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 1000 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.
