Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Sahin Isik"'
Publikováno v:
Turkish Journal of Emergency Medicine, Vol 16, Iss 2, Pp 77-79 (2016)
Cardiopulmonary resuscitation (CPR) is recognized as a medical procedure performed to maintain vital functions of a person whose cardiac and respiratory functions have stopped. Chest compression is the most essential component of CPR and it is perfor
Externí odkaz:
https://doaj.org/article/43078603ce6549ddbf84512139a7fbc9
Autor:
Yildiray Anagun, Sahin Isik, Murat Olgun, Okan Sezer, Zekiye Budak Basciftci, Nazife Gozde Ayter Arpacioglu
Publikováno v:
European Food Research and Technology. 249:1023-1034
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28ec666b32ee202ff7c1fd6cbdb19c5c
https://doi.org/10.1007/s00217-022-04192-8
https://doi.org/10.1007/s00217-022-04192-8
Publikováno v:
Afyon Kocatepe University Journal of Sciences and Engineering. 21:565-569
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a71ebe27f48fc33a9a46de61e237d235
https://doi.org/10.35414/akufemubid.824538
https://doi.org/10.35414/akufemubid.824538
Publikováno v:
IET Image Processing. 16:2834-2844
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a32c3c9fe792659444fb74b00950b0
https://doi.org/10.1049/ipr2.12206
https://doi.org/10.1049/ipr2.12206
Publikováno v:
Traitement du Signal. 38:51-60
In this paper, the implementations and comparison of some classifiers along with 2D subspace projection approaches have been carried out for the face recognition problem. For this purpose, the well-known classifiers such as K-Nearest Neighbor (K-NN),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7255aae1f8612a4cc426730643b308fc
https://doi.org/10.18280/ts.380105
https://doi.org/10.18280/ts.380105
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 8 No. 4 (2020); 221-227
In this study, we have provided an alternative solution to spam and legitimate email classification problem. The different deep learning architectures are applied on two feature selection methods, including the Mutual Information (MI) and Weighted Mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c3b25d1638afcf176adb76cc83cea59
https://doi.org/10.18201/ijisae.2020466316
https://doi.org/10.18201/ijisae.2020466316
Publikováno v:
Volume: 21, Issue: 3 446-453
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
In this study, we have developed a pre-collision alert system for vehicles in terms of detection pedestrians in road. The system is consisting from deep learning models and transfer learning methodologies. For this purpose, pre-trained convolutional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4f39d088e65899809b8e89fdb0bec4
https://doi.org/10.18038/estubtda.629701
https://doi.org/10.18038/estubtda.629701
Publikováno v:
Waste Management. 100:327-335
Refuse Derived Fuel (RDF) makes an increasingly important contribution to sustainable waste management as an energy source in cement kilns. The most important parameter of RDF in an evaluation of its performance as a fuel is Higher Heating Value (HHV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16cb79b17be3a238b59e8e6c054f380c
https://doi.org/10.1016/j.wasman.2019.09.035
https://doi.org/10.1016/j.wasman.2019.09.035
Biometric person authentication framework using polynomial curve fitting-based ECG feature extractio
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27:3682-3698
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc5d5337161c716fab22e5438ab5f4cb
https://doi.org/10.3906/elk-1901-168
https://doi.org/10.3906/elk-1901-168
Publikováno v:
Journal of Visual Communication and Image Representation. 61:178-187
This study analyzes the effectiveness of various loss functions on performance improvement for Single Image Super-Resolution (SISR) using Convolutional Neural Network (CNN) models by surrogating the reconstructive map between Low Resolution (LR) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a391efb45adaadc547213a81d14cfe59
https://doi.org/10.1016/j.jvcir.2019.03.027
https://doi.org/10.1016/j.jvcir.2019.03.027