Deep Learning and Current Trends in Machine Learning
| dc.authorscopusid | 56040049800 | |
| dc.authorscopusid | 57203036649 | |
| dc.authorscopusid | 8402817900 | |
| dc.authorscopusid | 16637174900 | |
| dc.authorscopusid | 36020622300 | |
| dc.contributor.author | Bostan,A. | |
| dc.contributor.author | Ekin,C. | |
| dc.contributor.author | Sengul,G. | |
| dc.contributor.author | Karakaya,M. | |
| dc.contributor.author | Tirkes,G. | |
| dc.contributor.other | Computer Engineering | |
| dc.date.accessioned | 2024-07-05T15:45:11Z | |
| dc.date.available | 2024-07-05T15:45:11Z | |
| dc.date.issued | 2018 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | Bostan A., Department of Computer Engineering, Atilim University, Ankara, Turkey; Ekin C., Department of Computer Engineering, Atilim University, Ankara, Turkey; Sengul G., Department of Computer Engineering, Atilim University, Ankara, Turkey; Karakaya M., Department of Computer Engineering, Atilim University, Ankara, Turkey; Tirkes G., Department of Computer Engineering, Atilim University, Ankara, Turkey | en_US |
| dc.description.abstract | Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain. © 2018 IEEE. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1109/UBMK.2018.8566365 | |
| dc.identifier.endpage | 470 | en_US |
| dc.identifier.isbn | 978-153867893-0 | |
| dc.identifier.scopus | 2-s2.0-85060599193 | |
| dc.identifier.startpage | 467 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/UBMK.2018.8566365 | |
| dc.institutionauthor | Bostan, Atila | |
| dc.institutionauthor | Şengül, Gökhan | |
| dc.institutionauthor | Karakaya, Kasım Murat | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 143560 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 0 | |
| dc.subject | Convolutional Neural Networks | en_US |
| dc.subject | Current Trends | en_US |
| dc.subject | DL | en_US |
| dc.subject | Image Processing | en_US |
| dc.subject | ML | en_US |
| dc.title | Deep Learning and Current Trends in Machine Learning | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
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