Edge assisted, forecast integrated ensemble learning based service management scheme for delay minimization in smart cities applications-Reference-Cited by-同舟云学术

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Edge assisted, forecast integrated ensemble learning based service management scheme for delay minimization in smart cities applications

Published:2023-12 Issue:10 Volume:35 Page:101806
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Hemant Kumar Reddy K,Goswami Rajat Shubhra,Roy Diptendu Sinha

Publisher

Elsevier BV

Subject

General Computer Science

Reference33 articles.

1. The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges;Aceto;J. Network Comput. Appl.,2018

2. Energy efficient context aware traffic scheduling for iot applications;Afzal;Ad Hoc Netw.,2017

3. Learning-in-the-fog (LiFo): Deep learning meets fog computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms;Baccarelli;IEEE Access,2021

4. Enabling iot for in-home rehabilitation: Accelerometer signals classification methods for activity and movement recognition;Bisio;IEEE Internet Things J.,2016

5. Towards virtual machine migration in fog computing;Bittencourt,2015

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