Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India
Authors
Keywords
Air pollution, Machine learning, Deep learning, LSTM, NCT-Delhi
Journal
Air Quality Atmosphere and Health
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-04-17
DOI
10.1007/s11869-019-00696-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
- (2018) Jianfeng Zhang et al. JOURNAL OF HYDROLOGY
- Agriculture is a major source of NO x pollution in California
- (2018) Maya Almaraz et al. Science Advances
- Integration of ANFIS model and forward selection method for air quality forecasting
- (2018) Afsaneh Ghasemi et al. Air Quality Atmosphere and Health
- Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation
- (2017) Xiang Li et al. ENVIRONMENTAL POLLUTION
- Indoor Air Quality Analysis Using Deep Learning with Sensor Data
- (2017) Jaehyun Ahn et al. SENSORS
- A deep learning framework for financial time series using stacked autoencoders and long-short term memory
- (2017) Wei Bao et al. PLoS One
- Air pollution trends over Indian megacities and their local-to-global implications
- (2016) B.R. Gurjar et al. ATMOSPHERIC ENVIRONMENT
- Prediction of particular matter concentrations by developed feed-forward neural network with rolling mechanism and gray model
- (2015) Minglei Fu et al. NEURAL COMPUTING & APPLICATIONS
- Nature of air pollution, emission sources, and management in the Indian cities
- (2014) Sarath K. Guttikunda et al. ATMOSPHERIC ENVIRONMENT
- A GIS based emissions inventory at 1 km × 1 km spatial resolution for air pollution analysis in Delhi, India
- (2012) Sarath K. Guttikunda et al. ATMOSPHERIC ENVIRONMENT
- Role of meteorology in seasonality of air pollution in megacity Delhi, India
- (2011) Sarath K. Guttikunda et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Forecasting air pollutant indicator levels with geographic models 3days in advance using neural networks
- (2010) Atakan Kurt et al. EXPERT SYSTEMS WITH APPLICATIONS
- Data-driven prediction model of indoor air quality in an underground space
- (2010) Min Han Kim et al. KOREAN JOURNAL OF CHEMICAL ENGINEERING
- Adaptive neuro-fuzzy modeling for prediction of ambient CO concentration at urban intersections and roadways
- (2010) Suresh Jain et al. Air Quality Atmosphere and Health
- A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
- (2008) Hermann Mayer et al. ADVANCED ROBOTICS
- Air quality modeling: From deterministic to stochastic approaches
- (2008) Vivien Mallet et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started