Intelligent System to Diagnosis of Pneumonia in Children using Support Vector Machine

Author:

Tariq Maria1,Al-Khasawneh Mahmoud Ahmad2,Irtaza Ghulam3,Fiaz Muhammad4,Safi Waseem5,Asif Rabia4

Affiliation:

1. National College of Business Administration and Economics,Department of Computer Science,Lahore,Pakistan

2. Skyline University College,School of Information Technology,Sharjah,UAE,1797

3. University of Education,Lahore,Pakistan

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

5. Higher Institute for Applied Sciences and Technology-HIAST,Damascus

Publisher

IEEE

Reference48 articles.

1. A new approach for the detection of pneumonia in children using C.X.R. images based on an real-time IoT system;da chagas;J Real-Time Image Process,2021

2. A new two-step ensemble learning model for improving stress prediction of automobile drivers;issa;The International Arab Journal of Information Technology,2021

3. Pneumonia Detection Using CNN based Feature Extraction;varshni;Proc 2019 3rd IEEE Int Conf Electr Comput Commun Technol ICECCT 2019,2019

4. A Framework for Building an Interactive Satellite TV Based M-Learning Environment

5. A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Utilizing Random Forest to Diagnose Pneumonia in Children;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

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