Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Abdelwahed Nahli"'
Publikováno v:
IEEE Access, Vol 9, Pp 61369-61382 (2021)
Beyond the underlaying unrealistic presumptions in the existing video deblurring datasets and algorithms which presume that a naturally blurred video is fully blurred. In this work, we define a more realistic video frames averaging-based data degrada
Externí odkaz:
https://doaj.org/article/d0142db6cd0b49ea950558332f9852ee
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2337 (2022)
With the recent internet connectivity revolution, and the fast-growing prevalence of camera-enabled devices, images play a vital role in several fields of modern life. Photos, which often have been seen as evidence in courts, are nowadays subject to
Externí odkaz:
https://doaj.org/article/06888afc4c3e44feb88c9c3e2eeb2d10
Publikováno v:
IEEE Access, Vol 9, Pp 61369-61382 (2021)
Beyond the underlaying unrealistic presumptions in the existing video deblurring datasets and algorithms which presume that a naturally blurred video is fully blurred. In this work, we define a more realistic video frames averaging-based data degrada
Autor:
Muhammad Irfan, Hafza Ayesha Siddiqa, Abdelwahed Nahliis, Chen Chen, Yan Xu, Laishuan Wang, Anum Nawaz, Abdulhamit Subasi, Tomi Westerlund, Wei Chen
Publikováno v:
IEEE Access, Vol 12, Pp 206-218 (2024)
A limited number of electroencephalography (EEG) channels are useful for neonatal sleep classification, particularly in the Internet of Medical Things (IoMT) field, where compact and lightweight devices are essential to monitoring health effectively.
Externí odkaz:
https://doaj.org/article/5737b3db0bd54ff69a00f4c55bd6efa2