Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Azadeh Noori-Hoshyar"'
Autor:
Irini Giannopulu, Khai Lee, Elahe Abdi, Azadeh Noori-Hoshyar, Gaelle Brotto, Mathew Van Velsen, Tiffany Lin, Priya Gauchan, Jazmin Gorman, Giuseppa Indelicato
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
Shadows, as all other objects that surround us, are incorporated into the body and extend the body mediating perceptual information. The current study investigates the hypothesis according to which the perception of object shadows would predict the p
Externí odkaz:
https://doaj.org/article/de52c74dafb245728e6c76862562e4b7
Publikováno v:
International Journal of Smart and Nano Materials, Vol 12, Iss 4, Pp 390-428 (2021)
Magnetorheological elastomer (MRE) has been demonstrated to be effective in structural vibration control because of controllable stiffness and damping properties with the effect of external magnetic fields. To achieve a high performance of MRE device
Externí odkaz:
https://doaj.org/article/ca2886cbfb844a218aee862e054318ef
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4896 (2021)
Unsupervised image classification methods conventionally use the spatial information of pixels to reduce the effect of speckled noise in the classified map. To extract this spatial information, they employ a predefined geometry, i.e., a fixed-size wi
Externí odkaz:
https://doaj.org/article/651e5b8a45c34471a8b33937d6b96419
Anomaly analytics is a popular and vital task in various research contexts that has been studied for several decades. At the same time, deep learning has shown its capacity in solving many graph-based tasks, like node classification, link prediction,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ee4d8be8550ec0b83a8783521d96fa7
https://hdl.handle.net/11541.2/33732
https://hdl.handle.net/11541.2/33732
Publikováno v:
International Journal of Smart and Nano Materials, Vol 12, Iss 4, Pp 390-428 (2021)
Magnetorheological elastomer (MRE) has been demonstrated to be effective in structural vibration control because of controllable stiffness and damping properties with the effect of external magnetic fields. To achieve a high performance of MRE device
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35fb639a54dc43d11e39bb8dab2e8413
https://doi.org/10.1080/19475411.2021.1981477
https://doi.org/10.1080/19475411.2021.1981477
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2810 (2019)
Monitoring of structures to identify types of damages that occur under loading is essential in practical applications of civil infrastructure. In this paper, we detect and visualize damage based on several non-destructive testing (NDT) methods. A mac
Externí odkaz:
https://doaj.org/article/b8c94576e3a14e8b809376bc838e7b1b
Publikováno v:
Processes; Volume 11; Issue 4; Pages: 1162
Today, fog and cloud computing environments can be used to further develop the Internet of Things (IoT). In such environments, task scheduling is very efficient for executing user requests, and the optimal scheduling of IoT task requests increases th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c31764343b470fafa598593da04d5315
https://doi.org/10.3390/pr11041162
https://doi.org/10.3390/pr11041162
Publikováno v:
Remote Sensing; Volume 15; Issue 8; Pages: 1984
Structural health monitoring for bridges is a crucial concern in engineering due to the degradation risks caused by defects, which can become worse over time. In this respect, enhancement of various models that can discriminate between healthy and no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81bfa8b75757b17bfd7ee0df438c61cc
https://doi.org/10.3390/rs15081984
https://doi.org/10.3390/rs15081984
Autor:
Li Liu, Emad Mahrous Awwad, Yasser A. Ali, Muna Al-Razgan, Ali Maarouf, Laith Abualigah, Azadeh Noori Hoshyar
Publikováno v:
Processes
Volume 11
Issue 2
Pages: 435
Volume 11
Issue 2
Pages: 435
This research paper presents novel condensed CNN architecture for the recognition of multispectral images, which has been developed to address the lack of attention paid to neural network designs for multispectral and hyperspectral photography in com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2deab53ee249ef36fed1c005bbf33f5a
https://doi.org/10.3390/pr11020435
https://doi.org/10.3390/pr11020435
Publikováno v:
IEEE/WIC/ACM International Conference on Web Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f591e5de677956391a18cb773e73dd
https://doi.org/10.1145/3498851.3498927
https://doi.org/10.1145/3498851.3498927