Evaluation of Smart City Healthcare Features (SCHF) through Machine Learning-Reference-Cited by-同舟云学术

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Evaluation of Smart City Healthcare Features (SCHF) through Machine Learning

Published:2022-02-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Business Analytics for Technology and Security (ICBATS)
language:
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Author:

Waqas Muhammad¹,Alyas Tahir²,Ajmal Muhammad Masood³,Khan Faheem⁴,Whangbo Taegkeun⁴,Mahmood Nasir⁵

Affiliation:

1. NCBA&E,School of Computer Science,Lahore,Pakistan

2. Lahore Garrison University,School of Computer Science,Lahore,Pakistan

3. Riphah International University,Department of Computer Science,Lahore,Pakistan

4. Gachon University,Department of Computer Engineering,Republic of Korea

5. University of Engineering and Technology,Department of Computer Science,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758922/9758923/09759060.pdf?arnumber=9759060

Reference37 articles.

1. Intelligent FSO Link for Communication in Natural Disasters empowered with Fuzzy Inference System

2. A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning

3. Automated diagnosis of liver disorder using multilayer neuro-fuzzy;zahra;Int J Adv Appl Sci,2019

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