M. Salvato

Dynamic neural network architectures for on field stochastic calibration of indicative low cost air quality sensing systems

E. Esposito, Saverio De Vito, M. Salvato et al. · Sensors and Actuators B Chemical · 2016 · 147 citations · Full text

Field Stochastic Calibration, Environmental Monitoring, Machine Learning +13

Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise – Part II

C. Borrego, J. Ginja, M. Coutinho et al. · Atmospheric Environment · 2018 · 117 citations · Full text

Air Sampling, Environmental Monitoring, Allergy +13

Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative machine learning approaches

Saverio De Vito, E. Esposito, M. Salvato et al. · Sensors and Actuators B Chemical · 2017 · 115 citations · Full text

Engineering, Machine Learning, Data Science +10

Predictive models for building's energy consumption: An Artificial Neural Network (ANN) approach

Sergio Ferlito, Mauro Atrigna, Giorgio Graditi et al. · 2015 · 52 citations

Engineering, Energy Efficiency, Green Building +17

Crowdsensing IoT Architecture for Pervasive Air Quality and Exposome Monitoring: Design, Development, Calibration, and Long-Term Validation

Saverio De Vito, E. Esposito, Ettore Massera et al. · Sensors · 2021 · 33 citations · Full text

Mobile Scenario, Environmental Monitoring, Machine Learning +24