KEdge: Fuzzy-Based Multi-AI Model Coalescence Solution for Mobile Healthcare System-Reference-Cited by-同舟云学术

KEdge: Fuzzy-Based Multi-AI Model Coalescence Solution for Mobile Healthcare System

Published:2023-06 Issue:2 Volume:17 Page:1721-1728
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Misra Sudip¹^ORCID,Pal Saswati²^ORCID,Deb Pallav Kumar¹^ORCID,Gupta Eeshan¹

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

2. School of Nano-Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, India

Funder

Indian National Academy of Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10146391/10038444.pdf?arnumber=10038444

Reference27 articles.

1. A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images

2. A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system

3. A Comparative Study of Random Waypoint and Gauss-Markov Mobility Models in the Performance Evaluation of MANET

4. Designing ECG monitoring healthcare system with federated transfer learning and explainable AI

5. Fog Computing for Smart Healthcare data Analytics

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