Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Noor Felemban"'
Publikováno v:
Q2SWinet
As the amount of recorded and stored videos on mobile devices increase, efficient techniques for searching video content become more and more important, especially for applications like searching for the moment of crime or other specific actions. Whe
Autor:
Thomas F. La Porta, Fidan Mehmeti, Zongqing Lu, Kevin S. Chan, Noor Felemban, Swati Rallapalli, Hana Khamfroush
Publikováno v:
IEEE Transactions on Mobile Computing. 20:1574-1589
Mobile devices collect a large amount of visual data that are useful for many applications. Searching for an object of interest over a network of mobile devices can aid human analysts in a variety of situations. However, processing the information on
Publikováno v:
2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS).
Publikováno v:
Utilities Policy. 50:26-39
Saudi Arabia aspires to transition toward a smarter electricity grid with increased reliance on renewable energy, where customers will use or produce green energy and where smart meters will enable customers to tailor their behavior and decrease thei
Publikováno v:
IoTDI
Mobile devices with cameras have greatly assisted in the prevalence of online videos. Valuable information may be retrieved from videos for various purposes. While deep learning enables automatic information retrieval from videos, it is a demanding t
Publikováno v:
GlobalSIP
We consider video processing to detect complex activities in a distributed network consisting of mobile devices and video-cloud servers. To address varying task requirements and resource-constraints of mobile devices, we consider fragmentation of the
Publikováno v:
2015 IEEE 8th GCC Conference & Exhibition.
This study aims to measure the public's knowledge about renewable energy sources, their willingness to use solar energy as a main source in their households, and to understand their main motivation in undergoing (or not) such an energy shift; hence,