Stochastic Comparison of Machine Learning Approaches to Calibration of Mobile Air Quality Monitors. - Elena Esposito; Saverio De Vito; Maria Salvato; Grazia Fattoruso; V. Bright; R. L. Jones; Olalekan A. M. Popoola (Sensors, 2016)

Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches. - Saverio De Vito; Elena Esposito; Maria Salvato; Olalekan A. M. Popoola; Fabrizio Formisano; Roderic Jones; Girolamo Di Francia (CoRR, 2017)

Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System. - Kemal Maulana Alhasa; Mohd Shahrul Mohd Nadzir; Olalekan A. M. Popoola; Mohd Talib Latif; Yusri Yusup; Mohammad Rashed Iqbal Faruque; Fatimah Ahamad; Haris Hafizal Abd. Hamid; Kadaruddin Aiyub; Sawal Hamid Md. Ali; Md Firoz Khan; Azizan Abu Samah; et al. (Sensors, 2018)

Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter. - Andrea Di Antonio; Olalekan A. M. Popoola; Bin Ouyang; John Saffell; Roderic L. Jones (Sensors, 2018)