Zobrazeno 1 - 10
of 805
pro vyhledávání: '"S Durrani"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6121-6132 (2022)
Cloud image segmentation plays an important role in ground-based cloud observation. Recently, most existing methods for ground-based cloud image segmentation learn feature representations using the convolutional neural network (CNN), which results in
Externí odkaz:
https://doaj.org/article/1155b824de8b4306ba116275c82ec92f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2745-2758 (2022)
Convolutional neural networks (CNN) has been widely used in the research of multispectral image compression, but they still face the challenge of extracting spectral feature effectively while preserving spatial feature with integrity. In this article
Externí odkaz:
https://doaj.org/article/b6005fa629534c7a81b9b00f54fa5860
Autor:
JJ Rainey, P Bhatnagar, CF Estivariz, S Durrani, M Galway, H Sandhu, S Bahl, H Jafari, J Wenger
Publikováno v:
Bulletin of the World Health Organization, Vol 87, Iss 12, Pp 955-959
PROBLEM: Poliovirus transmission remained a public health challenge in western Uttar Pradesh, India in late 2005 and early 2006. In 2006, the India Expert Advisory Group for Polio Eradication concluded that, given the peak incidence of polio among ch
Externí odkaz:
https://doaj.org/article/140186caa7eb449fb900802244743906
Publikováno v:
IEEE Access, Vol 9, Pp 49457-49466 (2021)
Mission-critical sensors and sensor networks (MC-SSN) have been applied to missions such as battlefield, border patrol, search and rescue, critical structure monitoring, and surveillance. To support critical missions, sensors and sensor networks need
Externí odkaz:
https://doaj.org/article/3ef6c625be26435caf22577d63d9f224
Publikováno v:
IEEE Access, Vol 9, Pp 67706-67712 (2021)
Communication systems deployed in harsh environments, such as high-speed trains, subways, deserts, trenches, forests, and underground mines, should be specially constructed to withstand extreme conditions such as high or low temperatures, corrosive h
Externí odkaz:
https://doaj.org/article/670d6e00d5494f74a54b9eff9f6c8dce
Publikováno v:
IEEE Access, Vol 8, Pp 56469-56479 (2020)
Person re-identification (Re-ID) in camera networks under complex environments has achieved promising performance using deep feature representations. However, most approaches usually ignore to learn features from non-salient parts of pedestrian, whic
Externí odkaz:
https://doaj.org/article/36713c13c8da4913ae627ccfb2a19edb
Publikováno v:
IEEE Access, Vol 8, Pp 160549-160557 (2020)
Unprecedented levels of spectral and energy efficiency are expected from next-generation wireless networks to achieve ubiquitous communications between anybody, anything, and at any time. Fifth-generation (5G) radio access technology is expected to t
Externí odkaz:
https://doaj.org/article/cf1207a0bb024ac3a18cf316de721ec1
Publikováno v:
Algorithms, Vol 15, Iss 11, p 393 (2022)
Lithium-ion is a progressive battery technology that has been used in vastly different electrical systems. Failure of the battery can lead to failure in the entire system where the battery is embedded and cause irreversible damage. To avoid probable
Externí odkaz:
https://doaj.org/article/0be8dc1635c541ed9c1d4a98067efe13
Publikováno v:
IEEE Access, Vol 7, Pp 101441-101452 (2019)
Human mobility prediction is of great importance in a wide range of modern applications in different fields such as personalized recommendation systems, the fifth-generation (5G) mobile communication systems, and so on. Generally, the prediction goal
Externí odkaz:
https://doaj.org/article/0ac0b2cd204647379882d4256995afb0
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:3532-3543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65750d9b45a64c0f224ca4a2111f094a
https://doi.org/10.1109/tvt.2022.3219236
https://doi.org/10.1109/tvt.2022.3219236