An MIoT Framework of Consumer Technology for Medical Diseases Prediction-Reference-Cited by-同舟云学术

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An MIoT Framework of Consumer Technology for Medical Diseases Prediction

Published:2024-02 Issue:1 Volume:70 Page:3754-3761
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Pattanaik Sudeshna¹^ORCID,Chakraborty Chinmay²^ORCID,Behera Subhasikta³,Majhi Santosh Kumar⁴^ORCID,Pani Subhendu Kumar⁵

Affiliation:

1. Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla, India

2. School of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India

3. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India

4. Department of Computer Science and Information Technology, Guru Ghasdas Vishwavidyalaya, Bilaspur, India

5. Department of Computer Science and Engineering, Krupajal Engineering College, Bhubaneswar, India

Funder

All India Council for Technical Education (AICTE), New Delhi, India, through RPS Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10473196.pdf?arnumber=10473196

Reference34 articles.

1. A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics

2. Explainable AI for Communicable Disease Prediction and Sustainable Living: Implications for Consumer Electronics

3. Digital Twins for Healthcare 4.0 - Recent Advances, Architecture, and Open Challenges

4. A Human Activity Recognition Method Based on Lightweight Feature Extraction Combined With Pruned and Quantized CNN for Wearable Device

5. SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification

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