Alqamah Sayeed

Orcid: 0000-0001-6898-8148

According to our database1, Alqamah Sayeed authored at least 9 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A Deep Convolutional Neural Network Model for Improving WRF Simulations.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022
Deep learning solver for solving advection-diffusion​ equation in comparison to finite difference methods.
Commun. Nonlinear Sci. Numer. Simul., 2022

2021
Efficient PM<sub>2.5</sub> forecasting using geographical correlation based on integrated deep learning algorithms.
Neural Comput. Appl., 2021

2020
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance.
Neural Networks, 2020

Real-time 7-day forecast of pollen counts using a deep convolutional neural network.
Neural Comput. Appl., 2020

A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks.
Neural Comput. Appl., 2020

A real-time hourly ozone prediction system using deep convolutional neural network.
Neural Comput. Appl., 2020

A Deep Convolutional Neural Network Model for improving WRF Forecasts.
CoRR, 2020

A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance.
CoRR, 2020


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