AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities-Reference-Cited by-同舟云学术

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AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities

Published:2023-11-01 Issue:21 Volume:10 Page:18461-18468
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ahmed Syed Thouheed¹^ORCID,Kumar V. Vinoth²^ORCID,Kim Jungyoon³^ORCID

Affiliation:

1. School of Computing and Information Technology, REVA University, Bengaluru, India

2. School of Information Technology and Engineering, Vellore Institute of Technology (Deemed-to-be University), Vellore, India

3. Department of Game–Media, College of Future Industry, Gachon University, Seongnam, Republic of Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) by the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10288305/10041827.pdf?arnumber=10041827

Reference16 articles.

1. A Survey on Standards for Interoperability and Security in the Internet of Things

2. TelMED: Dynamic User Clustering Resource Allocation Technique for MooM Datasets Under Optimizing Telemedicine Network

3. Resource Allocation Based on Deep Reinforcement Learning in IoT Edge Computing

4. The Internet of Things for Smart Cities: Technologies and Applications

5. Policy Recommendations to Guide the Use of Telemedicine in Primary Care Settings: An American College of Physicians Position Paper

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