Related references
Note: Only part of the references are listed.An approach to forecast pollutants concentration with varied dispersion
B. Deep et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2022)
Pollutant specific optimal deep learning and statistical model building for air quality forecasting
Asif Iqbal Middya et al.
ENVIRONMENTAL POLLUTION (2022)
Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction
Donghyun Kim et al.
APPLIED SCIENCES-BASEL (2022)
Estimation of monthly and seasonal precipitation: A comparative study using data-driven methods versus hybrid approach
Mohammad Taghi Sattari et al.
MEASUREMENT (2021)
Spatiotemporal prediction of air quality based on LSTM neural network
Dewen Seng et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Shengdong Du et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)
Reference Evapotranspiration Estimation With kNN and ANN Models Using Different Climate Input Combinations in the Semi-arid Environment
Sevim Seda Yamac
JOURNAL OF AGRICULTURAL SCIENCES-TARIM BILIMLERI DERGISI (2021)
Machine learning and deep learning
Christian Janiesch et al.
ELECTRONIC MARKETS (2021)
Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting
Halit Apaydin et al.
WATER (2020)
A Machine Learning Approach to Predict Air Quality in California
Mauro Castelli et al.
COMPLEXITY (2020)
Estimation of sodium adsorption ratio in a river with kernel-based and decision-tree models
Mohammad Taghi Sattari et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2020)
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Ekta Sharma et al.
IEEE ACCESS (2020)
A study on extending the use of air quality monitor data via deep learning techniques
Nairui Liu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
An ensemble long short-term memory neural network for hourly PM2.5 concentration forecasting
Yun Bai et al.
CHEMOSPHERE (2019)
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality
Zhongang Qi et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2018)
Forecasting air quality time series using deep learning
Brian S. Freeman et al.
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (2018)
Forecasting daily PM10 concentrations in Seoul using various data mining techniques
Ji-Eun Choi et al.
COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS (2018)
Random Forests Models of Particulate Matter PM10: A Case Study
A. Ivanov et al.
APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES (AMITANS'18) (2018)
Forecasting PM10 in Algiers: efficacy of multilayer perceptron networks
Hamza Abderrahim et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2016)
Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM2.5
Bun Theang Ong et al.
NEURAL COMPUTING & APPLICATIONS (2016)
Effects of air pollution on human health and practical measures for prevention in Iran
Adel Ghorani-Azam et al.
JOURNAL OF RESEARCH IN MEDICAL SCIENCES (2016)
DATA MINING METHODS FOR PREDICTION OF AIR POLLUTION
Krzysztof Siwek et al.
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE (2016)
Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki
Dimitris Voukantsis et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2011)
Air pollution forecasting in Ankara, Turkey using air pollution index and its relation to assimilative capacity of the atmosphere
D. Deniz Genc et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2010)
Evaluating the present-day simulation of clouds, precipitation, and radiation in climate models
Robert Pincus et al.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2008)
A recurrent support vector regression model in rainfall forecasting
Ping-Feng Pai et al.
HYDROLOGICAL PROCESSES (2007)