Automated COVID-19 Detection From Exhaled Human Breath Using CNN-CatBoost Ensemble Model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Automated COVID-19 Detection From Exhaled Human Breath Using CNN-CatBoost Ensemble Model

Published:2023-10 Issue:10 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Bhaskar Navaneeth¹^ORCID,Bairagi Vinayak²^ORCID,Munot Mousami V³^ORCID,Gaikwad Kaustubh M⁴^ORCID,Jadhav Sharad T⁵^ORCID

Affiliation:

1. Department of Computer Science, Engineering (Data Science), Sahyadri College of Engineering, Management, Mangaluru, India

2. Department of Electronics, Telecommunication Engineering, AISSMS Institute of Information Technology, Pune, India

3. Department of Electronics, Telecommunication Engineering, SCTR's Pune Institute of Computer Technology, Pune, India

4. Department of Electronics, Telecommunication Engineering, Sinhgad Academy of Engineering Kondhwa, Pune, India

5. Department of Electronics, Computer Engineering, Sharad Institute of Technology College of Engineering, Ichalkaranji, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10242612/10262293.pdf?arnumber=10262293

Reference16 articles.

1. PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications

2. A Proposed Model for Card Fraud Detection Based on CatBoost and Deep Neural Network

3. Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

4. Comparison of machine learning and deep learning techniques in promoter prediction across diverse species

5. Amplifying the Signal of Metal Oxide Gas Sensors for Low Concentration Gas Detection

Cited by 3 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. Research on the prediction algorithm of aero engine lubricating oil consumption based on multi-feature information fusion;Applied Intelligence;2024-09-02

2. Application of an ensemble CatBoost model over complex dataset for vehicle classification;PLOS ONE;2024-06-12

3. ReMAHA–CatBoost: Addressing Imbalanced Data in Traffic Accident Prediction Tasks;Applied Sciences;2023-12-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3