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Torch

Dr Sheen Mclean Cabaneros

Lecturer in Engineering

Faculty and Department

  • Faculty of Science and Engineering
  • School of Engineering

Qualifications

  • BSc
  • MSc (Ateneo de Manila University)
  • PhD (University of Strathclyde)

Recent outputs

View more outputs

Journal Article

Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting

Cabaneros, S. M., & Hughes, B. (2022). Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting. Environmental modelling & software : with environment data news, 158, Article 105529. https://doi.org/10.1016/j.envsoft.2022.105529

Research interests

Machine Learning

Environmental Modeling

Uncertainty Quantification

Co-investigator

Project

Funder

Grant

Started

Status

Project

Development of the first global standard for airborne microplastic monitoring

Funder

NERC Natural Environment Research Council

Grant

£71,120.00

Started

1 November 2022

Status

Ongoing

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