Journal: Electronics

Electronics is indexed in the Journal Citation Report with an impact factor of 2.412 (Q2) among other indexes:

https://www.mdpi.com/journal/electronics/indexing

Special Issue on Machine Learning for E-Services

Deadine: June 15, 2021

https://www.mdpi.com/journal/electronics/special_issues/ML_EServices

Special Issue Information

Machine learning is a discipline within computer science that went through massive growth in the past several years. Through a series of mathematical algorithms, together with the increasing availability of data and computational power, a machine learning system can make accurate predictions based on existing data. In addition to the development of new algorithms or the fine-tuning of existing ones, many researchers identified a huge potential in the application of machine learning methods to solve relevant problems. One of the most promising application fields is ‘e-services’, that is, the provision of traditional services through an online Internet-based channel.

This Special Issue will address the most recent advances in the introduction of machine learning techniques to improve and personalize e-services. Thus, contributions are expected to present original research on machine learning with real-world applications in e-services.

Topics for this Special Issue include, but are not limited to the following:

* New machine learning algorithms for e-services. * Benchmarking of machine learning alternatives in e-services. * Adaptation and fine-tuning of machine learning in specific e-services domains. * Machine learning in e-learning. * Machine learning in e-health. * Machine learning in e-government. * Machine learning in e-commerce. * Machine learning in e-Business. * Machine learning in e-security. * Machine learning in social networks. * Machine learning in marketing. * Machine learning for the development and deployment of e-services on cloud computing scenarios.

Prof. Dr. Luís E. Anido-Rifon Dr. Sonia Valladares Rodriguez /Guest Editors/

*Manuscript Submission Information*

Manuscripts should be submitted online atwww.mdpi.com https://www.mdpi.com/byregistering https://www.mdpi.com/user/register/andlogging in to this website https://www.mdpi.com/user/login/. Once you are registered,click here to go to the submission form https://susy.mdpi.com/user/manuscripts/upload/?journal=electronics. Manuscripts can be submitted until the deadline. All papers will be 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 theInstructions for Authors https://www.mdpi.com/journal/electronics/instructionspage./Electronics/ https://www.mdpi.com/journal/electronics/is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit theInstructions for Authors https://www.mdpi.com/journal/electronics/instructionspage before submitting a manuscript. TheArticle Processing Charge (APC) https://www.mdpi.com/about/apc/for publication in thisopen access https://www.mdpi.com/about/openaccess/journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI'sEnglish editing service https://www.mdpi.com/authors/englishprior to publication or during author revisions.