Mist–fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0-Reference-Cited by-同舟云学术

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Mist–fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0

Published:2024-10 Issue: Volume:27 Page:101237
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Dalabehera Aditya Ranjan,Bebortta Sujit^ORCID,Kumar Naveen^ORCID,Senapati Dilip^ORCID

Publisher

Elsevier BV

Reference60 articles.

1. A robust energy optimization and data reduction scheme for IoT-based indoor environments using a local processing framework;Bebortta;J. Netw. Syst. Manage.,2021

2. A comprehensive review on internet of things application placement in fog computing environment;Apat;Internet Things,2023

3. Towards an automatic deployment model of IoT services in fog computing using an adaptive differential evolution algorithm;Zhang;Internet Things,2023

4. An intelligent spatial stream processing framework for digital forensics amid the covid-19 outbreak;Bebortta;Smart Health,2022

5. Emotion recognition and detection methods: A comprehensive survey;Saxena;J. Artif. Intell. Syst.,2020

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