Neural Networks Fire Detection in a Public Safety Fog System

Autor: Dan Radu, Adrian Cretu, Adina Astilean, Claudiu Domuta, Camelia Avram, Kilyen Nandor

Publikováno v: 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).

This paper presents a fire detection method based on neural networks used for a Flying Ad-Hoc Network (FANET) that is part of a Public Safety Fog System Architecture. The complete architecture of this solution and the interconnection between all of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0aeb843255b0ad1ec69d0837dde7536
https://doi.org/10.1109/aqtr49680.2020.9129925

Flying Ad Hoc Network for Emergency Applications connected to a Fog System

Autor: Adina Astilean, Adrian Cretu, Benoît Parrein, Camelia Avram, Jiazi Yi, Dan Radu

Publikováno v: Lecture Notes on Data Engineering and Communications Technologies
Emerging Internet, Data & Web Technologies (EIDWT) 2018
Emerging Internet, Data & Web Technologies (EIDWT) 2018, Mar 2018, Tirana, Albania. pp.675-686, ⟨10.1007/978-3-319-75928-9_60⟩
Advances in Internet, Data & Web Technologies ISBN: 9783319759272
EIDWT

International audience; The main objective of this paper is to improve the efficiency of vegetation fire emergency interventions by using MP-OLSR routing protocol for data transmission in Flying Ad Hoc NETwork (FANET) applications. The presented conc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d82e2b639e2c180651cd91440205865
https://hal.archives-ouvertes.fr/hal-01763827/file/1570414966.pdf

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