Fog-DeepStream: A new approach combining LSTM and Concept Drift for data stream analytics on Fog computing-Reference-Cited by-同舟云学术

Fog-DeepStream: A new approach combining LSTM and Concept Drift for data stream analytics on Fog computing

Published:2023-07 Issue: Volume:22 Page:100731
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Alencar Brenno M.,Canário João Paulo,Lobão Neto Ruivaldo,Prazeres Cássio,Bifet Abert,Rios Ricardo A.

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

FAPESB

Terumo Foundation for Life Sciences and Arts

Google

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference39 articles.

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3. A low-cost two-tier Fog Computing testbed for streaming IoT-based applications;Nguyen;IEEE Internet Things J.,2020

4. A scalable platform for distributed object tracking across a many-camera network;Khochare;IEEE Trans. Parallel Distrib. Syst.,2021

5. Fog computing: A platform for internet of things and analytics;Bonomi,2014

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