A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance. - Alqamah Sayeed; Yunsoo Choi; Ebrahim Eslami; Jia Jung; Yannic Lops; Ahmed Khan Salman (CoRR, 2020)

A Deep Convolutional Neural Network Model for improving WRF Forecasts. - Alqamah Sayeed; Yunsoo Choi; Jia Jung; Yannic Lops; Ebrahim Eslami; Ahmed Khan Salman (CoRR, 2020)

A real-time hourly ozone prediction system using deep convolutional neural network. - Ebrahim Eslami; Yunsoo Choi; Yannic Lops; Alqamah Sayeed (Neural Comput. Appl., 2020)

A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks. - Ebrahim Eslami; Ahmed Khan Salman; Yunsoo Choi; Alqamah Sayeed; Yannic Lops (Neural Comput. Appl., 2020)

Real-time 7-day forecast of pollen counts using a deep convolutional neural network. - Yannic Lops; Yunsoo Choi; Ebrahim Eslami; Alqamah Sayeed (Neural Comput. Appl., 2020)

Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance. - Alqamah Sayeed; Yunsoo Choi; Ebrahim Eslami; Yannic Lops; Anirban Roy; Jia Jung (Neural Networks, 2020)

A Deep Convolutional Neural Network Model for Improving WRF Simulations. - Alqamah Sayeed; Yunsoo Choi; Jia Jung; Yannic Lops; Ebrahim Eslami; Ahmed Khan Salman (IEEE Trans. Neural Networks Learn. Syst., 2023)