A Comparison of Machine Learning Methods to Forecast Tropospheric Ozone Levels in Delhi

A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction

(2021) Bo Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Regression-based flexible models for photochemical air pollutants in the national capital territory of megacity Delhi

(2021) Komal Shukla et al.   CHEMOSPHERE

Bridging observations, theory and numerical simulation of the ocean using machine learning

(2021) Maike Sonnewald et al.   Environmental Research Letters

Prediction of land surface temperature of major coastal cities of India using bidirectional LSTM neural networks

(2021) Rajesh Maddu et al.   Journal of Water and Climate Change

Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms

(2021) Rana Muhammad Adnan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

(2021) Rana Muhammad Adnan et al.   KNOWLEDGE-BASED SYSTEMS

Air Pollution Prediction Using Long Short-Term Memory (LSTM) and Deep Autoencoder (DAE) Models

(2020) Thanongsak Xayasouk et al.   Sustainability

Air Quality Prediction in Smart Cities Using Machine Learning Technologies based on Sensor Data: A Review

(2020) Ditsuhi Iskandaryan et al.   Applied Sciences-Basel

Application of GWO-ELM Model to Prediction of Caojiatuo Landslide Displacement in the Three Gorge Reservoir Area

(2020) Liguo Zhang et al.   Water

Predicting River Flow Using an AI-Based Sequential Adaptive Neuro-Fuzzy Inference System

(2020) Chiara Belvederesi et al.   Water

Spatiotemporal distributions of surface ozone levels in China from 2005 to 2017: A machine learning approach

(2020) Riyang Liu et al.   ENVIRONMENT INTERNATIONAL

Air Pollution Concentration Forecast Method Based on the Deep Ensemble Neural Network

(2020) Canyang Guo et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks

(2020) Jovan Kalajdjieski et al.   Remote Sensing

Determination of Deep Learning Model and Optimum Length of Training Data in the River with Large Fluctuations in Flow Rates

(2020) Kidoo Park et al.   Water

Machine Learning-Based Prediction of Air Quality

(2020) Yun-Chia Liang et al.   Applied Sciences-Basel

Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets

(2020) Cesar Federico Caiafa et al.   Applied Sciences-Basel

Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning

(2020) Mario Lovrić et al.   ENVIRONMENTAL POLLUTION

Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation

(2019) Thomas Bolton et al.   Journal of Advances in Modeling Earth Systems

The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution

(2019) Jean‐Christophe Golaz et al.   Journal of Advances in Modeling Earth Systems

Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm

(2019) Jianguo Zhou et al.   Energies

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

Air pollution prediction by using an artificial neural network model

(2019) Heidar Maleki et al.   Clean Technologies and Environmental Policy

Predicting ozone levels from climatic parameters and leaf traits of Bel-W3 tobacco variety

(2019) Márcia I. Käffer et al.   ENVIRONMENTAL POLLUTION

Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India

(2019) Mrigank Krishan et al.   Air Quality Atmosphere and Health

An Evaluation of the Ocean and Sea Ice Climate of E3SM Using MPAS and Interannual CORE‐II Forcing

(2019) Mark R. Petersen et al.   Journal of Advances in Modeling Earth Systems

A review of artificial neural network models for ambient air pollution prediction

(2019) Sheen Mclean Cabaneros et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Satellite-based estimation of full-coverage ozone (O3) concentration and health effect assessment across Hainan Island

(2019) Rui Li et al.   JOURNAL OF CLEANER PRODUCTION

Monthly runoff forecasting based on LSTM–ALO model

(2018) Xiaohui Yuan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Evaluating a Space-Based Indicator of Surface Ozone-NO x -VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends

(2017) Xiaomeng Jin et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

The Ant Lion Optimizer

(2015) Seyedali Mirjalili   ADVANCES IN ENGINEERING SOFTWARE

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

(2014) Manish Kumar Goyal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting of air quality in Delhi using principal component regression technique

(2011) Anikender Kumar et al.   Atmospheric Pollution Research

Forcing for statistically stationary compressible isotropic turbulence

(2010) Mark R. Petersen et al.   PHYSICS OF FLUIDS