Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Engin Avci"'
Publikováno v:
Tehnički Vjesnik, Vol 26, Iss 1, Pp 107-113 (2019)
The objective of this study is to detect abnormal behaviours of moving objects captured in highway traffic flow footages, classify them by using artificial learning methods, and lastly to predict the future thereof (regression). To this end, the syst
Externí odkaz:
https://doaj.org/article/5247cf95df2a44b69842a2bd5657843b
Publikováno v:
Traitement du Signal. 40:175-186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::865ea1b0884d8cd84ba75eb9cacd1d60
https://doi.org/10.18280/ts.400116
https://doi.org/10.18280/ts.400116
The machine learning methodology consists of two stages: the training stage, during which an algorithmic classification program is taught to assign labels to data, and the testing stage, during which the algorithmic classification program is put thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59fc9053b47e6f51381de25b9496c654
Publikováno v:
Multimedia Tools and Applications. 80:24777-24800
The accurate separation of ECG signals has become crucial to identify heart diseases. Machine learning methods are widely used to separate ECG signals. The aim of this study was to obtain optimal number of hidden neurons of the Extreme Learning Machi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f318cb8650ccbf1f4b79b18604bd0c0d
https://doi.org/10.1007/s11042-021-10517-8
https://doi.org/10.1007/s11042-021-10517-8
Autor:
Aykut Diker, Engin Avci
Publikováno v:
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 9:1364-1376
The movements of electrocardiogram (ECG) signals are very important in the diagnosis of heart disorders. Machine learning methods are widely used to classify ECG signals. The aim of this work is to contribute to the classification of ECG signals usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2582fb1d8aa99cf1196c4ab54e584f12
https://doi.org/10.17798/bitlisfen.649315
https://doi.org/10.17798/bitlisfen.649315
Publikováno v:
Traitement du Signal. 37:347-353
The classification of high-resolution and remote sensed terrain images with high accuracy is one of the greatest challenges in machine learning. In the present study, a novel CNN feature reduction using Wavelet Entropy Optimized with Genetic Algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c943263c15b6e6bd5f802f9592aa0b
https://doi.org/10.18280/ts.370301
https://doi.org/10.18280/ts.370301
Autor:
Engin AVCI
Publikováno v:
Gazi Akademik Bakış, Vol 13, Iss 26, Pp 165-197 (2020)
Volume: 13, Issue: 26 165-197
Gazi Akademik Bakış
Volume: 13, Issue: 26 165-197
Gazi Akademik Bakış
Liberia, founded by emancipated slaves from the US in the 19th century, was relatively stabilized by the intervention of the ECOWAS and the UN in 2003 after the military coup in 1980 and the civil war in 1989. The United Nations Mission in Liberia (U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ce49d51c60c7fbc286afbfc29c2aea78
https://dergipark.org.tr/tr/download/article-file/1144242
https://dergipark.org.tr/tr/download/article-file/1144242
Publikováno v:
Güvenlik Bilimleri Dergisi. :1-28
Tarihsel olarak terorizm tiplerinin hemen hepsine sahitlik eden Turkiye, Fetullahci Terorist Orgut (FETO)’un devletin cesitli kademelerine sizdirdigi, elemanlariyla gerceklestirmeye calistigi darbe girisimi neticesinde yuzlerce sehit ve binlerce ya
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0de918113dda9bae197805b5d7cd9200
https://doi.org/10.28956/gbd.695868
https://doi.org/10.28956/gbd.695868
Publikováno v:
2021 2nd International Informatics and Software Engineering Conference (IISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::933812e49a2f401aebb0743ddaadbd92
https://doi.org/10.1109/iisec54230.2021.9672412
https://doi.org/10.1109/iisec54230.2021.9672412
Publikováno v:
Measurement. 137:332-338
Classification of liver masses is one of the hot topics in the literature. This paper proposes a hybrid method of using Convolutional Neural Network (CNN) and Discrete Wavelet Transform- Singular Value Decomposition (DWT-SVD) based perceptual hash fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::110fd7135b6f71b0061af6702ff2ff79
https://doi.org/10.1016/j.measurement.2019.01.060
https://doi.org/10.1016/j.measurement.2019.01.060