• 600 Citations
  • 11 h-Index
20062018
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Fingerprint Dive into the research topics where Saverio De Vito is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Air quality Engineering & Materials Science
Sensors Engineering & Materials Science
Monitoring Engineering & Materials Science
Calibration Engineering & Materials Science
air quality Physics & Astronomy
sensors Physics & Astronomy
Contamination Engineering & Materials Science
electronics Physics & Astronomy

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Research Output 2006 2018

  • 600 Citations
  • 11 h-Index
  • 25 Paper
  • 15 Article

A distributed sensor network for waste water management plant protection

De Vito, S., Fattoruso, G., Esposito, E., Salvato, M., Agresta, A., Panico, M., Leopardi, A., Formisano, F., Buonanno, A., Delli Veneri, P. & Di Francia, G., 2018.

Research output: Contribution to conferencePaper

Water management
Sensor networks
Wastewater
Hybrid sensors
Plant management
2 Citations (Scopus)

Assessing the Relocation Robustness of on Field Calibrations for Air Quality Monitoring Devices

Esposito, E., Salvato, M., Vito, S. D., Fattoruso, G., Castell, N., Karatzas, K. & Francia, G. D., 2018.

Research output: Contribution to conferencePaper

Relocation
Air quality
Calibration
Monitoring
Sensor nodes
26 Citations (Scopus)

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

De Vito, S., Esposito, E., Salvato, M., Popoola, O., Formisano, F., Jones, R. & Di Francia, G., 1 Feb 2018, In : Sensors and Actuators, B: Chemical. 255, p. 1191 - 1210 20 p.

Research output: Contribution to journalArticle

machine learning
calibrating
Learning systems
Calibration
Monitoring
Contamination
Aircraft
Hydraulics
Carbon fiber reinforced plastics
Quality assurance
1 Citation (Scopus)

Stochastic comparison of machine learning approaches to calibration of mobile air quality monitors

Esposito, E., De Vito, S., Salvato, M., Fattoruso, G., Bright, V., Jones, R. L. & Popoola, O., 2018.

Research output: Contribution to conferencePaper

Air quality
Learning systems
Calibration
Sensors