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)

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)

Spatiotemporal Estimation of TROPOMI NO2 Column with Depthwise Partial Convolutional Neural Network. - Yannic Lops; Masoud Ghahremanloo; Arman Pouyaei; Yunsoo Choi; Jia Jung; Seyedali Mousavinezhad; Ahmed Khan Salman; Davyda Hammond (CoRR, 2022)

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)

Spatiotemporal estimation of TROPOMI NO2 column with depthwise partial convolutional neural network. - Yannic Lops; Masoud Ghahremanloo; Arman Pouyaei; Yunsoo Choi; Jia Jung; Seyedali Mousavinezhad; Ahmed Khan Salman; Davyda Hammond (Neural Comput. Appl., 2023)