Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rahul Mourya"'
Autor:
Sangeeta Lal, Rahul Mourya
Publikováno v:
Societies, Vol 12, Iss 4, p 116 (2022)
The COVID-19 pandemic has completely transformed the education sector. Almost all universities and colleges have had to convert their normal classroom teaching to online/remote or hybrid teaching during the COVID-19 pandemic. Online teaching has been
Externí odkaz:
https://doaj.org/article/eb0713103d0c4f6ba6ceac6b8556d7c3
Publikováno v:
Sensors, Vol 21, Iss 3, p 727 (2021)
Underwater acoustic sensor networks (UWASNs) can revolutionize the subsea domain by enabling low-cost monitoring of subsea assets and the marine environment. Accurate localization of the UWASNs is essential for these applications. In general, range-b
Externí odkaz:
https://doaj.org/article/a43957bc0d23447e8c52ae314c283ea9
Autor:
Rahul Mourya, João F. C. Mota
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Rahul Mourya, Tripti Gupta
Publikováno v:
Journal of Environmental Science & Engineering. 59:383-390
Publikováno v:
Procedia Computer Science. 167:1911-1919
Nowadays social Networking and micro-blogging sites like Twitter are very popular and millions of users are registered on these websites. The users present on these website use these websites as a platform to express their thoughts and opinions. Our
Autor:
Charalampos C. Tsimenidis, Mohammed E. Sayed, Yuriy Zakharov, Nils Morozs, Simona Aracri, Rahul Mourya, Jeffrey A. Neasham, Yvan Petillot, Paul D. Mitchell, Tyler Gibney, Alistair C. McConnell, Adam A. Stokes, Benjamin Sherlock, Mauro Dragone
Publikováno v:
WUWNet
In this paper, we present the results of deploying the first test prototype of the USMART low cost underwater sensor network in sea trials in Fort William, United Kingdom, on 29 June 2018 and 3 July 2018. We demonstrate the first ever hardware implem
Publikováno v:
OCEANS 2018 MTS/IEEE Charleston.
This paper presents a framework for spatiotemporal monitoring of ocean environment using large-scale underwater acoustic sensor networks (UWASNs). Our goal is to exploit low-cost, battery-operated technology for acoustic communication to enable long-
Publikováno v:
2017 25th European Signal Processing Conference
2017 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081653⟩
EUSIPCO
2017 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081653⟩
EUSIPCO
International audience; Image deblurring techniques are effective tools to obtain high quality image from acquired image degraded by blur and noise. In applications such as astronomy and satellite imaging, size of acquired images can be extremely lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92a85a7f9eb169cb8ab19d9ce0704977
Publikováno v:
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Nov 2017, CURAÇAO, DUTCH ANTILLES, Curaçao. ⟨10.1109/CAMSAP.2017.8313117⟩
CAMSAP
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Nov 2017, CURAÇAO, DUTCH ANTILLES, Curaçao. ⟨10.1109/CAMSAP.2017.8313117⟩
CAMSAP
International audience; This paper introduces a constant step size adaptive algorithm for distributed optimization on a graph. The algorithm is of diffusion-adaptation type and is asynchronous: at every iteration , some randomly selected nodes comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5094265db85005b5c80d22e77a92f91e
https://hal.telecom-paris.fr/hal-02365695/file/CAMSAP2017.pdf
https://hal.telecom-paris.fr/hal-02365695/file/CAMSAP2017.pdf
Publikováno v:
Adaptive Optics Systems V.
Most current imaging instruments have a spatially variant point spread function (PSF). An optimal exploitation of these instruments requires to account for this non-stationarity. We review existing models of spatially variant PSF with an emphasis on