Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Milad Abdollahzadeh"'
Publikováno v:
IEEE Access, Vol 6, Pp 72479-72493 (2018)
High Efficiency Video Coding (HEVC) provides a doubling in coding efficiency compared with the H.264/AVC at the expense of increased computational complexity. However, mobile devices that perform video encoding and communication over wireless network
Externí odkaz:
https://doaj.org/article/45e30d99a3f14cd38e114b0f3e7c97be
Publikováno v:
Journal of Medical Signals and Sensors, Vol 8, Iss 1, Pp 12-24 (2018)
Background: Dental cone beam computed tomography (CBCT) images suffer from severe metal artifacts. These artifacts degrade the quality of acquired image and in some cases make it unsuitable to use. Streaking artifacts and cavities around teeth are th
Externí odkaz:
https://doaj.org/article/ef75cceb586c4b99b736120286a501c6
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 8, Iss 4, Pp 19-27 (2016)
Recently, Visible Light Communication (VLC) has got increasing attention in the field of indoor wireless communications. Color Shift Keying (CSK) is a VLC modulation scheme proposed by IEEE 802.15.7 task group. In this method diffused light wavelengt
Externí odkaz:
https://doaj.org/article/35e1842b8cc44788a91bb72386bf6e3b
Autor:
Zhao, Yunqing, Chandrasegaran, Keshigeyan, Milad, Abdollahzadeh, Du, Chao, Pang, Tianyu, Li, Ruoteng, Ding, Henghui, Cheung, Ngai-Man
Few-shot image generation (FSIG) aims to learn to generate new and diverse images given few (e.g., 10) training samples. Recent work has addressed FSIG by leveraging a GAN pre-trained on a large-scale source domain and adapting it to the target domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13cfc173c5c811b8750ba13551fa2cdf
http://arxiv.org/abs/2307.01465
http://arxiv.org/abs/2307.01465
Autor:
Esmaeil Zarezadeh, Hamdollah Nasrollahi, Kamran Farajzadeh, Milad Abdollahzadeh, Vahid Hosseini
Recently, convolutional neural networks have shown promising performance for single-image super-resolution. In this paper, we propose Deep Artifact-Free Residual (DAFR) network which uses the merits of both residual learning and usage of ground-truth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67ab15aab11fa13b418537c8aecbd0e
Image fusion in visual sensor networks (VSNs) aims to combine information from multiple images of the same scene in order to transform a single image with more information. Image fusion methods based on discrete cosine transform (DCT) are less comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::836452c6e5e72dc9ab898cb32cc0c6a8
Publikováno v:
IEEE Access, Vol 6, Pp 72479-72493 (2018)
High Efficiency Video Coding (HEVC) provides a doubling in coding efficiency compared with the H.264/AVC at the expense of increased computational complexity. However, mobile devices that perform video encoding and communication over wireless network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85bcb0a44c97f37b08347611c11cc6f1
https://doi.org/10.1109/access.2018.2881833
https://doi.org/10.1109/access.2018.2881833
Publikováno v:
Advances in Language and Literary Studies, Vol 5, Iss 6, Pp 31-38 (2014)
This study aimed at investigating the relationship between types of dictionaries used and lexical proficiency in writing. Eighty TOEFL students took part in responding to two Questionnaires collecting information about their dictionary type preferenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::442f8a7db7b6d7e3e19274cfe193c15f
http://www.journals.aiac.org.au/index.php/alls/article/view/545
http://www.journals.aiac.org.au/index.php/alls/article/view/545
Publikováno v:
IST
Recently, Visible Light Communication (VLC) has got increasing attention in the field of indoor wireless communications. Color Shift Keying (CSK) is a VLC modulation scheme proposed by IEEE 802.15.7 task group. In this method diffused light wavelengt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f229022e56d8ebb51f4c04f8a95906
https://doi.org/10.1109/istel.2016.7881931
https://doi.org/10.1109/istel.2016.7881931
Publikováno v:
Scopus-Elsevier
Journal of Medical Signals and Sensors
Journal of Medical Signals and Sensors, Vol 8, Iss 1, Pp 12-24 (2018)
Journal of Medical Signals and Sensors
Journal of Medical Signals and Sensors, Vol 8, Iss 1, Pp 12-24 (2018)
Background: Dental cone beam computed tomography (CBCT) images suffer from severe metal artifacts. These artifacts degrade the quality of acquired image and in some cases make it unsuitable to use. Streaking artifacts and cavities around teeth are th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212694fe585d17f91ff6748ce2379b7b
https://doi.org/10.4103/jmss.jmss_24_17
https://doi.org/10.4103/jmss.jmss_24_17