Machine learning predictions for carbon monoxide levels in urban environments

Almubaidin, Mohammad Abdullah; Ismail, Nur Shazwani binti; Latif, Sarmad Dashti; Ahmed, Ali Najah; Dullah, Hayana; El-Shafie, Ahmed; Sonne, Christian

doi:10.1016/j.rineng.2024.102114

Results in Engineering

2024

DOI: 10.1016/j.rineng.2024.102114

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Machine learning predictions for carbon monoxide levels in urban environments

Mohammad Abdullah Almubaidin,

Nur Shazwani binti Ismail,

Sarmad Dashti Latif

et al.

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Machine learning predictions for carbon monoxide levels in urban environments

Cited by 5 publications

References 24 publications

Improving the short-term prediction of dissolved carbon monoxide using a combination of Light GBM and meta-heuristic algorithms

Improving the short-term prediction of dissolved carbon monoxide using a combination of Light GBM and meta-heuristic algorithms

Artificial neural network an innovative approach in air pollutant prediction for environmental applications: A review

Developing a system for the real-time collection and analysis of mobile vehicle emission data

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