Reference health
Air Quality Prediction Using Deep Learning -A Review
14/14 checkable references clean · checked 2026-09-09
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
11 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 14 checked references that resolve
resolves10.1109/MLKE55170.2022.00017
Research on Artificial Intelligence: Deep Learning to Identify Plant Species
resolves10.1109/ICACTM.2019.8776774
Retracted: Air Quality Prediction using Artificial Neural Networks
resolves10.1109/ACCESS.2021.3052429
Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction
resolves10.1109/TBDATA.2020.3047078
Predicting Fine-Grained Air Quality Based on Deep Neural Networks
resolves10.1109/ICIVC.2018.8492790
Ensemble of Deep Neural Networks for Estimating Particulate Matter from Images
resolves10.23919/J.CC.2020.07.015
Investigation of model ensemble for fine-grained air quality prediction
resolves10.1109/TIM.2021.3091511
Integrated Multiple Directed Attention-Based Deep Learning for Improved Air Pollution Forecasting
resolves10.1007/s00500-019-04495-1
A new method for prediction of air pollution based on intelligent computation
The 11 references without a DOI — listed, not checked
no DOI — not checkedIntelligent forecasting of air quality and pollution prediction using machine learning
no DOI — not checkedAir pollution prediction using machine learning supervised learning approach
no DOI — not checkedAir quality prediction using machine learning algorithms-a review
no DOI — not checkedSpatiotemporal deep learning model for citywide air pollution interpolation and prediction
no DOI — not checkedEvaluation of time series forecasting models for estimation of pm2. 5 levels in air
no DOI — not checkedExploring spatial influence of remotely sensed PM2. 5 concentration using a developed deep convolutional neural network model
no DOI — not checkedprediction using machine learning hybrid model for smart health
no DOI — not checkedref18
no DOI — not checkedPrediction of gas concentration using gated recurrent neural networks
no DOI — not checkedref20
no DOI — not checkedAir pollution prediction using LSTM deep learning and metaheuristics algorithms
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-09-09 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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