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Artificial Intelligence Models, Tools and Applications
Topic Information
Dear Colleagues,
During the difficult years since the start of the ongoing COVID-19 pandemic, the need for efficient artificial intelligence models, tools, and applications has been more evident than ever. Machine learning and data science, not to mention the huge amount of data they produce, form a clear new source of valuable information. New and innovative approaches are required to tackle the new research challenges faced in this area. In this framework, artificial intelligence is crucial and thus may be described as one of the most important research areas of our time. Since this view is applicable to the research community, it also faces huge challenges from the perspective of data management and involves emerging disciplines in information processing and related tools and applications.
This Topic aims to bring together interdisciplinary approaches focusing on innovative applications and existing artificial intelligence methodologies. Since the typical notion of data is usually focused on heterogeneity and is rather dynamic in nature, computer science researchers are encouraged to develop new or adapt existing suitable artificial intelligence models, tools, and applications to effectively solve these problems. Therefore, this Topic is open to anyone who wants to submit a relevant research manuscript.
In addition to the open call for papers, articles that will be presented at SETN 2022 are invited to be submitted in extended versions to this Topic. In this case, the conference paper should be cited and noted on the first page of the submitted paper; authors are asked to disclose that it is a conference paper in their cover letter and include a statement on what has been changed compared to the original conference paper. Each submission to this journal issue should contain at least 50% new material—e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases.
Prof. Dr. Phivos Mylonas
Dr. Katia Lida Kermanidis
Prof. Dr. Manolis Maragoudakis
Topic Editors
Keywords
- artificial intelligence
- machine learning
- smart tools and applications
- computational logic
- multi-agent systems
- cross-disciplinary AI applications
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Applied Sciences
|
2.5 | 5.3 | 2011 | 17.8 Days | CHF 2400 | Submit |
Computers
|
2.6 | 5.4 | 2012 | 17.2 Days | CHF 1800 | Submit |
Digital
|
- | 3.1 | 2021 | 23.6 Days | CHF 1000 | Submit |
Electronics
|
2.6 | 5.3 | 2012 | 16.8 Days | CHF 2400 | Submit |
Smart Cities
|
7.0 | 11.2 | 2018 | 25.8 Days | CHF 2000 | Submit |
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