Ebrahim Eslami

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions

Applications of machine learning to water resources management: A review of present status and future opportunities

Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance

A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks