Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Behnaz Merikhi"'
Autor:
Behnaz Merikhi, M. R. Soleymani
Publikováno v:
IEEE Access, Vol 9, Pp 93703-93722 (2021)
Cluster analysis using metaheuristic algorithms has earned increasing popularity over recent years due to the great success of these algorithms in finding high-quality clusters in complex real-world problems. This paper proposes a novel framework for
Externí odkaz:
https://doaj.org/article/8b8ada48894d4d2ea4fd68f19aa58670
Autor:
Amir Saberi Varzaneh, Behnaz Merikhi, Marzieh Saberi Varzaneh, Mohammad Hossein Alam Varzaneh Isfahani, Hossein Habibi Kalahroodi, Mohammad Fatemipour Sharabiany
Publikováno v:
2023 28th International Computer Conference, Computer Society of Iran (CSICC).
Publikováno v:
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC).
Publikováno v:
Proceedings of the 18th ACM International Symposium on QoS and Security for Wireless and Mobile Networks on 18th ACM International Symposium on QoS and Security for Wireless and Mobile Networks.
Publikováno v:
2016 24th Iranian Conference on Electrical Engineering (ICEE).
Since poor indoor air quality has adverse effects on human health, the need for an indoor air quality monitoring system has become more prominent. The aim of this paper is to propose SC-IAQM model for indoor air quality monitoring in a smart communit
Autor:
Seyed Mohammad Mirjalili, Behnaz Merikhi, Milad Zoghi, Seyedeh Zahra Mirjalili, Seyedali Mirjalili
Publikováno v:
Applied Optics. 56:9444
This paper proposes a novel framework for multi-objective optimization of photonic crystal (PhC) filters and compares it with a single-objective optimization approach. In this framework, an optimizer called the Multi-Objective Gray Wolf Optimizer has