Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Behrooz Shahrokhzadeh"'
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 2, Pp 259-289 (2023)
This paper provides a comprehensive review of the potential of game theory as a solution for sensor-based human activity recognition (HAR) challenges. Game theory is a mathematical framework that models interactions between multiple entities in vario
Externí odkaz:
https://doaj.org/article/2c3b85c5f18e451d92cdf8f98a4b19cf
Autor:
Behrooz Shahrokhzadeh, Mehdi Dehghan
Publikováno v:
IEEE Sensors Journal. 17:7542-7552
Visual sensor networks normally consist of a collection of camera sensors deployed randomly yet densely to fully cover a set of targets. Due to high redundancy incurred, it is possible to both preserve energy and enhance coverage quality by first swi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63240e318631e3a3683b400430e84d06
https://doi.org/10.1109/jsen.2017.2739183
https://doi.org/10.1109/jsen.2017.2739183
Autor:
Fariborz Mahmoudi, Abolfazl Toroghi Haghighat, Mohamadreza Shahrokhzadeh, Behrooz Shahrokhzadeh
Publikováno v:
ANT/MobiWIS
Random deployment of wireless sensors in the network environment and the need for determining sensors location has made the localization problem as a critical challenge in wireless sensor networks. One of the efficient approaches to solve this proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64e3c3e08924149739b632b81e35cf92
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642235405
EUNICE
EUNICE
The purpose of this article is to propose some major modifications to improve the performance of the Simulated Annealing based localization algorithm. To this end, by replacing the random initial location estimation of the sensor with an appropriate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22e53cecf5bd48513d2feae32e6e7bff
https://doi.org/10.1007/978-3-642-23541-2_25
https://doi.org/10.1007/978-3-642-23541-2_25
