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► Journal BrowserSpecial Issue "Innovative Technology for Sustainable Anticipatory Computing Computing"
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 31 December 2021.
Special Issue Editor
Interests: neural networks; fuzzy systems; deep learning; biomedical signal analysis; stock forecasting; machine learning
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has been cited in examples of “anticipatory computing,” such as on the National Public Radio site: “Computers That Know What You Need, Before You Ask (March 17, 2014)”. In AI, anticipation computing occurs when an agent or system makes decisions, expectations, forecasts, and predictions without necessarily explicitly possessing the future states.
This Special Issue aims to explore the state-of-the-art of emerging theoretical and technical solutions for the concept of anticipatory computing. By means of this Special Issue, some deep learning methods and associated AI techniques applied for anticipatory computing will be further dealt with and shared.
The topics of interest include but are not limited to:
(1) Sustainable anticipatory computing for biomedical engineering
(2) Sustainable anticipatory computing for business forecasting
(3) Sustainable anticipatory computing for deep learning
(4) Sustainable anticipatory computing for artificial intelligence
(5) Sustainable anticipatory computing for time series applications
(6) Sustainable anticipatory computing for mobile devices
Prof. Sang-Hong Lee
Guest Editor
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 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 the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly 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 1900 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
- Sustainable Biomedical engieering
- Business forecasting
- Deep learning
- Artificial intelligence
- Big data
- Machine learning