Topical Section on Algorithms- Call For Paper

Dear Colleagues,

The journal Algorithms (ISSN 1999-4893, http://www.mdpi.com/journal/algorithms) is currently running a Section Collection entitled “Traditional and Machine Learning Methods to Solve Imaging Problems “. As the collection editors, we are delighted to invite you and your group to contribute a high-quality feature paper (review or article or survey) for peer review and possible publication in this topical collection. “Feature Paper” means that your submission should be high-quality, will be handled on a priority basis, and may be chosen as the cover story of the forthcoming issue. Do you have an interest? Please see the detailed information at: 

https://www.mdpi.com/journal/algorithms/topical_collections/S79Y6AP57       

*A 100% early bird discount* on the publication fee (CHF 1400) would be granted to your submission received *by 15 December* 2022. If you are interested, please inform us *as soon as possible* (if possible, *within two weeks*) as to whether you would like to take advantage of this offer. We hope this invitation will receive your favourable consideration.

Algorithms (ISSN 1999-4893, http://www.mdpi.com/journal/algorithms, *CiteScore 3.3*, indexed by *MathSciNet*, *Scopus*, *EI Compendex*, and *ESCI*—Web of Science, *ranks Q2 in* “Computational Mathematics” in SCImago Journal Rank (SJR)) is fully open access (since 2008) journal published online monthly by MDPI, and *will receive an Impact Factor* from Web of Science in June 2023. We are devoting ourselves to achieving our goal—being indexed in SCIE and obtaining an impact factor.

The author instructions and submission link can be found at:

https://www.mdpi.com/journal/algorithms/instructions

https://susy.mdpi.com/user/manuscripts/upload

All submissions are peer-reviewed, and accepted papers will be published online shortly. Authors can take advantage of the following benefits including: Open access; no copyright constraints; rapid publication; thorough peer-review; coverage by leading indexing services; no space constraints; no extra space or color charges; low fees.

With kind regards,

Collection Editors

Laura Antonelli (National Research Council of Italy)

Lucia Maddalena (National Research Council of Italy)

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