Details

Title

Developing threat detection and weather impact techniques by AI algorithms to enhance the reliability of FSO/RF system

Journal title

Opto-Electronics Review

Yearbook

2025

Volume

33

Issue

3

Authors

Affiliation

Khwayyir, Ali : Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran ; Nangir, Mahdi : Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran ; Niya, Javad Musevi : Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Keywords

FSO/RF ; fuzzy inference ; machine learning

Divisions of PAS

Nauki Techniczne

Coverage

e155677

Publisher

Polish Academy of Sciences (under the auspices of the Committee on Electronics and Telecommunication) and Association of Polish Electrical Engineers in cooperation with Military University of Technology

Date

18.08.2025

Type

Article

Identifier

DOI: 10.24425/opelre.2025.155677

Abstracting & Indexing

Abstracting and Indexing:
Arianta
BazTech
EBSCO relevant databases
EBSCO Discovery Service
SCOPUS relevant databases
ProQuest relevant databases
Clarivate Analytics relevant databases
WangFang

additionally:
ProQuesta (Ex Libris, Ulrich, Summon)
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