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Dew computing-inspired health-meteorological factor analysis for early prediction of bronchial asthma

  • Published:2021-04 Issue: Volume:179 Page:102995
  • ISSN:1084-8045
  • Container-title:Journal of Network and Computer Applications
  • language:en
  • Short-container-title:Journal of Network and Computer Applications

Author:

Manocha AnkushORCID,Bhatia Munish,Kumar Gulshan

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference45 articles.

1. April). A portable node of humidity and temperature sensor for indoor environment monitoring;Adiono,2018

2. Ambient air pollution and emergency department visits for asthma: a multi-city assessment of effect modification by age;Alhanti;J. Expo. Sci. Environ. Epidemiol.,2016

3. February). Cyber physical systems and smart homes in healthcare: current state and challenges;Amin,2020

4. Empowering healthcare IoT systems with hierarchical edge-based deep learning;Azimi,2018

5. FogLearn: leveraging fog-based machine learning for smart system big data analytics;Barik,2019

Cited by 15 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. Dew Computing enabled ANFIS Model for Accurate Classification of Season-Stratified Acute Respiratory Infections in High Altitude Region;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

2. Optimization Techniques for Asthma Exacerbation Prediction Models: A Systematic Literature Review;IEEE Access;2024

3. Dew Computing;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-12-18

4. Security and Privacy Aspects of Authorized and Secure Communications in Dew-Assisted IoT Systems;Internet of Things;2023-09-03

5. Role of Dew Computing in Smart Healthcare Applications;Internet of Things;2023-09-03
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