Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ

Jaehyuk Cho

Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ

Jaehyuk Cho

Department of Software Engineering

Research output: Contribution to journal › Journal article › peer-review

Original language	Korean
Journal	Tuberculosis and Respiratory Diseases
State	Published - 2023.01.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@article{0868161883c1423dbee8567f0b09ba3a,

title = "Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ",

author = "Jaehyuk Cho",

year = "2023",

month = jan,

day = "1",

language = "Korean",

journal = "Tuberculosis and Respiratory Diseases",

issn = "1738-3536",

}

TY - JOUR

T1 - Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ

AU - Cho, Jaehyuk

PY - 2023/1/1

Y1 - 2023/1/1

M3 - Journal article

SN - 1738-3536

JO - Tuberculosis and Respiratory Diseases

JF - Tuberculosis and Respiratory Diseases

ER -