Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Amir Yavariabdi"'
Autor:
Amir Yavariabdi, Huseyin Kusetogullari, Osman Orhan, Esra Uray, Vahdettin Demir, Turgay Celik, Engin Mendi
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 26, Iss 4, Pp 966-973 (2023)
This paper proposes a novel multimodal deep weakly-supervised learning framework, SinkholeNet, to classify and localize sinkhole(s) in high-resolution RGB-slope aerial images. The SinkholeNet first employs a multimodal Convolutional Neural Network (C
Externí odkaz:
https://doaj.org/article/2a2f1de7b2474e4c9a22d1ef2052c570
Autor:
Eren Tekin, Çisem Yazıcı, Huseyin Kusetogullari, Fatma Tokat, Amir Yavariabdi, Leonardo Obinna Iheme, Sercan Çayır, Engin Bozaba, Gizem Solmaz, Berkan Darbaz, Gülşah Özsoy, Samet Ayaltı, Cavit Kerem Kayhan, Ümit İnce, Burak Uzel
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evaluated by pathologists. In this paper, a computer-aided patch-based deep learning tubule segmentation framework, named Tubule-U-Net, is develope
Externí odkaz:
https://doaj.org/article/f5acb0c4a87541f083ddde2362336979
Autor:
Amir Yavariabdi, Huseyin Kusetogullari, Turgay Celik, Shivani Thummanapally, Sakib Rijwan, Johan Hall
Publikováno v:
IEEE Access, Vol 10, Pp 55338-55349 (2022)
This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named Character Arkiv Digital Sweden (CArDIS) (https://cardisdataset.github.io/CARDIS/). The samples in CArDIS are collected from 64,
Externí odkaz:
https://doaj.org/article/788a50842cd74f388764b0d5c6ac201e
Publikováno v:
Journal of Optics. 50:569-582
In this paper, a real-time unmanned aerial vehicles (UAVs) detection framework is proposed for GPU embedded applications. To achieve this, this paper proposed a new modified model based on You Only Look Once (YOLO) to detect multi-UAV in aerial image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a83f5b6987fa1e6134a957bec5cb58b
https://doi.org/10.1007/s12596-021-00770-3
https://doi.org/10.1007/s12596-021-00770-3
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9def1a8d917fe281b6f391a9359783c
https://doi.org/10.1109/iceccme55909.2022.9988729
https://doi.org/10.1109/iceccme55909.2022.9988729
Autor:
Johan Hall, Abbas Cheddad, Amir Yavariabdi, Agrin Hilmkil, Lena Sundin, Mustapha Aouache, Huseyin Kusetogullari
Publikováno v:
Neural Computing and Applications. 33:15863-15875
This paper presents a digital image dataset of historical handwritten birth records stored in the archives of several parishes across Sweden, together with the corresponding metadata that supports the evaluation of document analysis algorithms’ per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0556a45ac04b05255803908c77b4f035
https://doi.org/10.1007/s00521-021-06207-z
https://doi.org/10.1007/s00521-021-06207-z
Autor:
Halil Ertan, Amir Yavariabdi, Selver Ezgi Kucukbay, Ali Emre Tiryaki, Ersin Aksoy, Iren Berk Ozalp
Publikováno v:
2022 Wireless Telecommunications Symposium (WTS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad0de25b7ff27dd79b5c44c23cb9254e
https://doi.org/10.1109/wts53620.2022.9768172
https://doi.org/10.1109/wts53620.2022.9768172
Publikováno v:
European Journal of Science and Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ffd9a7dddcccec1dddd3e76f2133a7
https://doi.org/10.31590/ejosat.916026
https://doi.org/10.31590/ejosat.916026
Publikováno v:
Electronics; Volume 10; Issue 6; Pages: 724
In this paper, a real-time deep learning-based framework for detecting and tracking Unmanned Aerial Vehicles (UAVs) in video streams captured by a fixed-wing UAV is proposed. The proposed framework consists of two steps, namely intra-frame multi-UAV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::480db96ce0dd851069cbab8e17422317
Autor:
Iren Berk Ozalp, Ali Emre Tiryaki, Halil Ertan, Selver Ezgi Kucukbay, Amir Yavariabdi, Nuri Kangoz
Publikováno v:
BlackSeaCom
Anomaly detection in Digital Subscriber Line (DSL) networks is a vital task to immediately detect unusual network behavior caused by cyber security threats, faulty hardware or software. Generally, to make this process automatic, state-of-the-art meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80e545ef39bae53c409c959958ef8ce
https://doi.org/10.1109/blackseacom48709.2020.9234957
https://doi.org/10.1109/blackseacom48709.2020.9234957