Online Learning Framework for Radio Link Failure Prediction in FANETs

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Bibliographic Details
Main Authors: Kiril Danilchenko, Nir Lazmi, Michael Segal
Format: Article
Language:English
Published: Polish Information Processing Society 2023-09-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_35/drp/pdf/8996.pdf
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author Kiril Danilchenko
Nir Lazmi
Michael Segal
author_facet Kiril Danilchenko
Nir Lazmi
Michael Segal
author_sort Kiril Danilchenko
collection DOAJ
format Article
id doaj-art-b742ed4bf86f41428368646dc5c7d0bf
institution Kabale University
issn 2300-5963
language English
publishDate 2023-09-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-b742ed4bf86f41428368646dc5c7d0bf2025-08-20T03:27:37ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632023-09-0135414810.15439/2023F8996Online Learning Framework for Radio Link Failure Prediction in FANETsKiril DanilchenkoNir LazmiMichael Segalhttps://annals-csis.org/Volume_35/drp/pdf/8996.pdf
spellingShingle Kiril Danilchenko
Nir Lazmi
Michael Segal
Online Learning Framework for Radio Link Failure Prediction in FANETs
Annals of computer science and information systems
title Online Learning Framework for Radio Link Failure Prediction in FANETs
title_full Online Learning Framework for Radio Link Failure Prediction in FANETs
title_fullStr Online Learning Framework for Radio Link Failure Prediction in FANETs
title_full_unstemmed Online Learning Framework for Radio Link Failure Prediction in FANETs
title_short Online Learning Framework for Radio Link Failure Prediction in FANETs
title_sort online learning framework for radio link failure prediction in fanets
url https://annals-csis.org/Volume_35/drp/pdf/8996.pdf
work_keys_str_mv AT kirildanilchenko onlinelearningframeworkforradiolinkfailurepredictioninfanets
AT nirlazmi onlinelearningframeworkforradiolinkfailurepredictioninfanets
AT michaelsegal onlinelearningframeworkforradiolinkfailurepredictioninfanets