Saverio De Vito
Saverio De Vito
Researcher, ENEA . Professor of Computer Engineering, Università di Cassino e del Lazio
Email verificata su enea.it
TitoloCitata daAnno
On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario
S De Vito, E Massera, M Piga, L Martinotto, G Di Francia
Sensors and Actuators B: Chemical 129 (2), 750-757, 2008
2182008
CO, NO2 and NOx urban pollution monitoring with on-field calibrated electronic nose by automatic bayesian regularization
S De Vito, M Piga, L Martinotto, G Di Francia
Sensors and Actuators B: Chemical 143 (1), 182-191, 2009
1182009
Assessment of air quality microsensors versus reference methods: The EuNetAir joint exercise
C Borrego, AM Costa, J Ginja, M Amorim, M Coutinho, K Karatzas, ...
Atmospheric Environment 147, 246-263, 2016
812016
Semi-Supervised Learning Techniques in Artificial Olfaction: A Novel Approach to Classification Problems and Drift Counteraction
S De Vito, G Fattoruso, M Pardo, F Tortorella, G Di Francia
IEEE, 2012
572012
Wireless sensor networks for distributed chemical sensing: Addressing power consumption limits with on-board intelligence
S De Vito, P Di Palma, C Ambrosino, E Massera, G Burrasca, ML Miglietta, ...
IEEE Sensors journal 11 (4), 947-955, 2010
542010
Dynamic neural network architectures for on field stochastic calibration of indicative low cost air quality sensing systems
E Esposito, S De Vito, M Salvato, V Bright, RL Jones, O Popoola
Sensors and Actuators B: Chemical 231, 701-713, 2016
442016
Gas concentration estimation in ternary mixtures with room temperature operating sensor array using tapped delay architectures
S De Vito, A Castaldo, F Loffredo, E Massera, T Polichetti, I Nasti, P Vacca, ...
Sensors and Actuators B: Chemical 124 (2), 309-316, 2007
432007
Combining Real Time Classifiers for Fast and Reliable Electronic Nose Response Analysis for Aerospace NDTs
M Salvato, S De Vito, E Massera, A Buonanno, M Miglietta, G Fattoruso, ...
Procedia Engineering 87, 859-862, 2014
412014
An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation
E Martinelli, G Magna, S De Vito, R Di Fuccio, G Di Francia, A Vergara, ...
Sensors and Actuators B: Chemical 177, 1017-1026, 2013
372013
Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative machine learning approaches
S De Vito, E Esposito, M Salvato, O Popoola, F Formisano, R Jones, ...
Sensors and Actuators B: Chemical 255, 1191-1210, 2018
262018
A maker friendly mobile and social sensing approach to urban air quality monitoring
L Capezzuto, L Abbamonte, S De Vito, E Massera, F Formisano, ...
IEEE Sensors Conference, 12-16, 2014
232014
Cooperative 3D air quality assessment with wireless chemical sensing networks
S De Vito, G Fattoruso, R Liguoro, A Oliviero, E Massera, C Sansone, ...
Procedia Engineering 25, 84-87, 2011
222011
TinyNose: Developing a wireless e-nose platform for distributed air quality monitoring applications
S De Vito, E Massera, G Burrasca, A Di Girolamo, M Miglietta, ...
SENSORS, 2008 IEEE, 701-704, 2008
212008
Predictive models for building's energy consumption: An Artificial Neural Network (ANN) approach
S Ferlito, M Atrigna, G Graditi, S De Vito, M Salvato, A Buonanno, ...
2015 xviii aisem annual conference, 1-4, 2015
172015
An ontology framework for flooding forecasting
A Agresta, G Fattoruso, M Pollino, F Pasanisi, C Tebano, S De Vito, ...
International Conference on Computational Science and Its Applications, 417-428, 2014
142014
Analysis of volcanic gases by means of electronic nose
S De Vito, E Massera, L Quercia, G Di Francia
Sensors and Actuators B: Chemical 127 (1), 36-41, 2007
132007
Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise–Part II
C Borrego, J Ginja, M Coutinho, C Ribeiro, K Karatzas, T Sioumis, ...
Atmospheric environment 193, 127-142, 2018
122018
Wireless Chemical Sensor Networks for Air Quality Monitoring
S De Vito, G Fattoruso
IMCS 2012, 641-644, 2012
112012
Computational intelligence for smart air quality monitors calibration
E Esposito, S De Vito, M Salvato, G Fattoruso, G Di Francia
International Conference on Computational Science and Its Applications, 443-454, 2017
72017
Electronic Noses for Composites Surface Contamination Detection in Aerospace Industry
GDF Saverio De Vito, Maria Lucia Miglietta, Ettore Massera , Grazia ...
Sensors 17 (4), 754, 2017
62017
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