A Mobile Image-Driven PM2.5 Estimation Framework Using Deep Learning Techniques
Particulate pollution (PM2.5) is an important concern in Asian countries owing to its health hazards. When planning outdoor activities, understanding the PM2.5 concentration measurement is essential. Because of the lower number of government-run Air Quality Monitoring Stations, other options for obt...
Saved in:
Main Authors: | Anupam Kamble, Somrawee Aramkul, Paskorn Champrasert |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10813353/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification
by: Hongwei Wei, et al.
Published: (2025-01-01) -
Identificación de escritores árabes para niños utilizando atención adversarial optimizada y clasificación híbrida dinámica
by: Abdullah Worood Najem-Aldenn, et al.
Published: (2024-07-01) -
Comparative analysis of deep learning models for crack detection in buildings
by: S. Siva Rama Krishnan, et al.
Published: (2025-01-01) -
Optimising deep learning models for ophthalmological disorder classification
by: S. Vidivelli, et al.
Published: (2025-01-01) -
Enhancing thyroid nodule assessment with deep learning and ultrasound imaging
by: Jatinder Kumar, et al.
Published: (2025-03-01)