Tytuł artykułu

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

Tytuł czasopisma

Opto-Electronics Review

Rocznik

2025

Wolumin

33

Numer

3

Autorzy

Khwayyir, Ali ; Nangir, Mahdi ; Niya, Javad Musevi

Afiliacje

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

Słowa kluczowe

FSO/RF ; fuzzy inference ; machine learning

Wydział PAN

Nauki Techniczne

Zakres

e155677

Wydawca

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

Data

18.08.2025

Typ

Article

Identyfikator

DOI: 10.24425/opelre.2025.155677 ; ISSN 1896-3757

Indeksowanie w bazach

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

additionally:
ProQuesta (Ex Libris, Ulrich, Summon)
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