المؤلفون: Tugba Kemaloglu Oz, Tarik Kivrak, Abdallah Almaghraby, Mahmoud Abdelnabi, Onur Tasar, Begum Uygur, Emrah Aksakal, Gobinda Kanti Paul, Seyyad Farshad Sadri, Fatemeh Nikroo, Yagoub Musa, Batur Kanar, Hakki Kaya, Fady Gerges, Yusuf Cekici, Arash Hashemi, Bilal Cuglan, Lutfu Bekar, Irina Kotlar, Mustafa Yenercag, Mesut Gitmez, Aysel Akhundova, Sinan Inci, Mehtap Yeni, Mustafa Dogdus, Meltem Altinsoy, Ayman Helal, Shafa Shahbazova, Fatih Tamnik, Patrick W J Tiau, Ibrahim Ersoy, Fadime Bozdurman, Mehdi Zoghi

المصدر: International Journal of the Cardiovascular Academy, Vol 7, Iss 2, Pp 45-49 (2021)

مصطلحات موضوعية: acute coronary syndrome, clinical characteristics, demographics, medication, rehospitalization, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: http://www.ijcva.com/article.asp?issn=2405-8181;year=2021;volume=7;issue=2;spage=45;epage=49;aulast=Oz; https://doaj.org/toc/2405-8181; https://doaj.org/toc/2405-819X

URL الوصول: https://doaj.org/article/0e554cab03134961ab9ddc675295964d

المؤلفون: Sedat Kalkan, suleyman Efe, Onur Tasar, Can Yucel Karabay, Cevat Kirma

المصدر: Türk Kardiyoloji Derneği Arşivi, Vol 48, Iss 8, Pp 739-745 (2020)

مصطلحات موضوعية: aortic distensibility, mitral valve prolapse, pulse wave velocity., Medicine, Internal medicine, RC31-1245, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: https://jag.journalagent.com/z4/download_fulltext.asp?pdir=tkd&un=TKDA-52988; https://doaj.org/toc/1016-5169

URL الوصول: https://doaj.org/article/be6af67365724119863101d93b217026

المؤلفون: Onur Tasar, Gonenc Kocabay, Yavuz Karabag, Arzu Karabay, Can Yucel Karabay, Sedat Kalkan, Cevat Kirma

المصدر: Advances in Interventional Cardiology, Vol 16, Iss 2, Pp 162-169 (2020)

مصطلحات موضوعية: insulin-like growth factor-1 levels, myocardial injury, percutaneous coronary intervention, Medicine

وصف الملف: electronic resource

Relation: https://www.termedia.pl/Insulin-like-growth-factor-1-levels-predict-myocardial-injury-and-infarction-after-elective-percutaneous-coronary-intervention-an-optical-coherence-tomography-study,35,40859,1,1.html; https://doaj.org/toc/1734-9338; https://doaj.org/toc/1897-4295

URL الوصول: https://doaj.org/article/17f96f7a400747658bc37a49c27cd314

المؤلفون: Eda Özlek, Edip Güvenç Çekiç, Bülent Özlek, Cem Çil, Oğuzhan Çelik, Volkan Doğan, Özcan Başaran, Veysel Ozan Tanık, Halil İbrahim Özdemir, Yunus Çelik, Caner Kaçmaz, Zeki Şimşek, Hacı Murat Güneş, Özgen Şafak, Buğra Özkan, Onur Tasar, Çağatay Önal, Lütfü Bekar, Murat Biteker

المصدر: Türk Kardiyoloji Derneği Arşivi, Vol 47, Iss 5, Pp 391-398 (2019)

مصطلحات موضوعية: cardiac outpatients, drug-drug interactions, elderly, polypharmacy., Medicine, Internal medicine, RC31-1245, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: https://jag.journalagent.com/z4/download_fulltext.asp?pdir=tkd&un=TKDA-27724; https://doaj.org/toc/1016-5169

URL الوصول: https://doaj.org/article/96a06f13e62547e0be7989e8185a432f

المؤلفون: Onur Tasar, Gonenc Kocabay, Metin Cagdas, Yavuz Karabag

المصدر: International Journal of the Cardiovascular Academy, Vol 5, Iss 4, Pp 129-133 (2019)

مصطلحات موضوعية: acute coronary syndrome, b-type natriuretic peptide, coronary artery disease, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: http://www.ijcva.com/article.asp?issn=2405-8181;year=2019;volume=5;issue=4;spage=129;epage=133;aulast=Tasar; https://doaj.org/toc/2405-8181; https://doaj.org/toc/2405-819X

URL الوصول: https://doaj.org/article/70b29d098e674128ba3700a8d7adb13c

المؤلفون: Onur Tasar, Arzu Kalayci, Can Yucel Karabay, Cevat Kirma

المصدر: International Journal of the Cardiovascular Academy, Vol 4, Iss 1, Pp 10-11 (2018)

مصطلحات موضوعية: Complete dehiscence, endocarditis, prosthetic valve, Diseases of the circulatory (Cardiovascular) system, RC666-701

وصف الملف: electronic resource

Relation: http://www.ijcva.com/article.asp?issn=2618-6012;year=2018;volume=4;issue=1;spage=10;epage=11;aulast=Tasar; https://doaj.org/toc/2618-6012; https://doaj.org/toc/2405-8181

URL الوصول: https://doaj.org/article/bd7be68745304b15a7dd4c8b0516b39a

المؤلفون: Sébastien Lefèvre, David Sheeren, Onur Tasar

المصدر: ISPRS International Journal of Geo-Information, Vol 8, Iss 2, p 70 (2019)

مصطلحات موضوعية: GEOBIA, segmentation fusion, segmentation evaluation, consensus, remote sensing, Geography (General), G1-922

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2220-9964/8/2/70; https://doaj.org/toc/2220-9964

URL الوصول: https://doaj.org/article/90a93d5b15fb478e90cad657ee574481

المؤلفون: Stéphane Dominguez, Isabelle Manighetti, Jacques Malavieille, Yuliya Tarabalka, Frédérique Leclerc, Jean-Michel Gaucel, Nicolas Girard, Tiziano Giampetro, Antoine Mercier, L. Matteo, Martijn van den Ende, Onur Tasar

المساهمون: Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Luxcarta technology [Mouans-Sartoux] (LCT), Thales Alenia Space, Geometric Modeling of 3D Environments (TITANE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Géosciences Montpellier, Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Université des Antilles (UA)-Centre National de la Recherche Scientifique (CNRS), Thales Alenia Space [Toulouse] (TAS), THALES [France], Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), ANR-17-CE31-0008,FAULTS_R_GEMS,Les propriétés des failles: une clé fondamentale pour modéliser la rupture sismique et ses effets(2017)

المصدر: Journal of Geophysical Research : Solid Earth
Journal of Geophysical Research : Solid Earth, American Geophysical Union, 2021, ⟨10.1029/2020JB021269⟩
Journal of Geophysical Research : Solid Earth, 2021, ⟨10.1029/2020JB021269⟩

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Computer science, business.industry, Deep learning, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Complex network, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], Fault (power engineering), 01 natural sciences, Convolutional neural network, Field (computer science), Identification (information), Geophysics, Space and Planetary Science, Geochemistry and Petrology, Earth and Planetary Sciences (miscellaneous), Fracture (geology), Artificial intelligence, business, ComputingMethodologies_COMPUTERGRAPHICS, 0105 earth and related environmental sciences, TRACE (psycholinguistics)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52255c93cdfd919a6bd1180436ec2ca6
https://doi.org/10.1029/2020jb021269

المؤلفون: Pierre Alliez, Yuliya Tarabalka, Onur Tasar

المساهمون: Geometric Modeling of 3D Environments (TITANE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), The authors thank ACRI-ST and CNES for initializing and funding this study.ANR-19-P3IA-0002 - 3IA Côte d'Azur - Nice - Interdisciplinary Institute for Artificial Intelligence, ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (9), pp.3524-3537. ⟨10.1109/JSTARS.2019.2925416⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019, 12 (9), pp.3524-3537. ⟨10.1109/JSTARS.2019.2925416⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Atmospheric Science, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, Catastrophic forgetting, Machine Learning (stat.ML), 02 engineering and technology, 010501 environmental sciences, Machine learning, computer.software_genre, Semantics, 01 natural sciences, Convolutional neural network, Machine Learning (cs.LG), [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Statistics - Machine Learning, Segmentation, Computers in Earth Sciences, Incremental learning, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Forgetting, business.industry, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Image segmentation, Semantic segmentation, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Task analysis, Key (cryptography), Convolutional neural networks, Artificial intelligence, business, Scale (map), computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::607d3c15bfa053b27794dc51e466c958
https://doi.org/10.1109/jstars.2019.2925416

المؤلفون: S L Happy, Onur Tasar, Yuliya Tarabalka, Pierre Alliez

المساهمون: Geometric Modeling of 3D Environments (TITANE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Spatio-Temporal Activity Recognition Systems (STARS), ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019), Tasar, Onur, 3IA Côte d'Azur - - 3IA@cote d'azur2019 - ANR-19-P3IA-0002 - P3IA - VALID

المصدر: IGARSS
IGARSS 2020-IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2020-IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, Hawaii, United States

مصطلحات موضوعية: FOS: Computer and information sciences, Generative adversarial networks, Data augmentation, Computer science, Computer Vision and Pattern Recognition (cs.CV), Dense labeling, Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Convolutional neural network, Image (mathematics), Domain (software engineering), [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], FOS: Electrical engineering, electronic engineering, information engineering, Segmentation, Image-to-image translation, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, Domain adaptation, Training set, Image and Video Processing (eess.IV), [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Image segmentation, Electrical Engineering and Systems Science - Image and Video Processing, Semantic segmentation, Image translation, GANs, Decoding methods, Test data

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d0ea76bc4c3b1446cc763df482acb34
https://doi.org/10.1109/igarss39084.2020.9323711