ArticleSensors (Basel, Switzerland)2018
A Deep CNN-LSTM Model for Particulate Matter (PM
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
66 citing papers in PubMed, 687 citations in OpenAlex.
- PMScientific reports · 2026Article
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- A novel deep learning framework for field-scale wheat yield prediction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Evaluating deep learning time series models for PMiScience · 2026Article
- An Evolutionary-Algorithm-Driven Efficient Temporal Convolutional Network for Radar Image Extrapolation.Biomimetics (Basel, Switzerland) · 2026Article
- AI-quantum framework for accurate infertility risk classification in PCOS patients using EHR data.Frontiers in artificial intelligence · 2026Article
- Machine Learning for Sensor Analytics: A Comprehensive Review and Benchmark of Boosting Algorithms in Healthcare, Environmental, and Energy Applications.Sensors (Basel, Switzerland) · 2025Review
- Deep learning approaches for image-based snoring sound analysis in the diagnosis of obstructive sleep apnea-hypopnea syndrome: A systematic review.World journal of radiology · 2025Article
- Optimized NRBO-VMD-AM-BiLSTM Hybrid Architecture for Enhanced Dissolved Gas Concentration Prediction in Transformer Oil Soft Sensors.Sensors (Basel, Switzerland) · 2025Article
- Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models.Sensors (Basel, Switzerland) · 2025Article
- Explainable AI analysis for smog rating prediction.Scientific reports · 2025Article
- A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention.Scientific reports · 2025Article
- Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application.Scientific reports · 2025Article
- Predictive modeling of air quality in the Tehran megacity via deep learning techniques.Scientific reports · 2025Article
- Predicting particulate matter (Environmental monitoring and assessment · 2024Article
- Transforming air pollution management in India with AI and machine learning technologies.Scientific reports · 2024Article
- Deep-learning architecture for PMEnvironmental science and ecotechnology · 2024Review
- Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog Environmental Gateway.Sensors (Basel, Switzerland) · 2024Article
- Developing a multivariate time series forecasting framework based on stacked autoencoders and multi-phase feature.Heliyon · 2024Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In modern society, air pollution is an important topic as this pollution exerts a critically bad influence on human health and the environment. Among air pollutants, Particulate Matter (PM
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.