Prediction of ultrafine particle number concentrations in urban environments by means of Gaussian process regression based on measurements of oxides of nitrogen. - Matteo Reggente; Jan Peters 002; Jan Theunis; Martine Van Poppel; Michaël Rademaker; Prashant Kumar 002; Bernard De Baets (Environ. Model. Softw., 2014)

Pro-Environmental Potential in Activity-Travel Routine of Individuals: A Data Driven Computational Algorithm. - Shiraz Ahmed; Muhammad Adnan 003; Davy Janssens; Ansar-Ul-Haque Yasar; Prashant Kumar 002; Elhadi M. Shakshuki (ANT/SEIT, 2018)

Estimating pro-environmental potential for the development of mobility-based informational intervention: a data-driven algorithm. - Shiraz Ahmed; Muhammad Adnan 003; Davy Janssens; Erika Brattich; Ansar-Ul-Haque Yasar; Prashant Kumar 002; Silvana Di Sabatino; Elhadi M. Shakshuki (Pers. Ubiquitous Comput., 2019)

Future impacts of the reforestation policy on the atmospheric parameters in Ireland: a sensitivity study including heat discomfort impacts on humans and livestock. - Arianna Valmassoi; Salem Gharbia; Silvana Di Sabatino; Prashant Kumar 002; Francesco Pilla (Pers. Ubiquitous Comput., 2019)

Enhanced Ambient Sensing Environment - A New Method for Calibrating Low-Cost Gas Sensors. - Hugo Savill Russell; Louise Bøge Frederickson; Szymon Kwiatkowski; Ana Paula Mendes Emygdio; Prashant Kumar 002; Johan Albrecht Schmidt; Ole Hertel; Matthew Stanley Johnson (Sensors, 2022)