Assessment of the Performance of a Low-Cost Air Quality Monitor in an Indoor Environment through Different Calibration Models, Suriano, Domenico, and Penza Michele , Atmosphere, Volume 13, Number 4, (2022)

Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2, Spinelle, L., Gerboles M., Villani Maria Gabriella, Aleixandre M., and Bonavitacola F. , Sensors and Actuators, B: Chemical, Volume 238, p.706-715, (2017)

Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide, Spinelle, L., Gerboles M., Villani Maria Gabriella, Aleixandre M., and Bonavitacola F. , Sensors and Actuators, B: Chemical, Volume 215, p.249-257, (2015)

Calibration of a cluster of low-cost sensors for the measurement of air pollution in ambient air, Spinelle, L., Gerboles M., Villani Maria Gabriella, Aleixandre M., and Bonavitacola F. , Proceedings of IEEE Sensors, Volume 2014-December, Number December, p.21-24, (2014)

Application of artificial neural networks to a gas sensor-array database for environmental monitoring, Trizio, L., Brattoli M., De Gennaro G., Suriano Domenico, Rossi R., Alvisi Marco, Cassano Gennaro, Pfister Valerio, and Penza Michele , Lecture Notes in Electrical Engineering, Volume 109 LNEE, Rome, p.139-144, (2012)

Neural networks ensembles for short-term load forecasting, De Felice, Matteo, and Yao X. , IEEE SSCI 2011 - Symposium Series on Computational Intelligence - CIASG 2011: 2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid, Paris, p.61-68, (2011)

Real-time RF exposure setup based on a multiple electrode array (MEA) for electrophysiological recording of neuronal networks, Merla, Caterina, Ticaud N., Arnaud-Cormos D., Veyret B., and Leveque P. , IEEE Transactions on Microwave Theory and Techniques, Volume 59, Number 3, p.755-762, (2011)

Short-term load forecasting with neural network ensembles: A comparative study, De Felice, Matteo, and Yao X. , IEEE Computational Intelligence Magazine, Volume 6, Number 3, p.47-56, (2011)

Ambient temperature modelling with soft computing techniques, Bertini, I., Ceravolo F., Citterio M., De Felice Matteo, Di Pietra B., Margiotta F., Pizzuti S., and Puglisi G. , Solar Energy, Volume 84, Number 7, p.1264-1272, (2010)

Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants, Bertin, I., De Felice Matteo, and Pizzuti S. , Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, p.165-170, (2010)

Mid-tropospheric supercooled liquid water observation consistent with nucleation induced by a mountain lee wave, Madonna, F., Russo Felicita, Ware R., and Pappalardo G. , Geophysical Research Letters, Volume 36, Number 18, (2009)

Evolving complex neural networks, Annunziato, M., Bertini I., De Felice Matteo, and Pizzuti S. , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 4733 LNAI, p.194-205, (2007)

Evolving predictive neural models for complex processes, De Felice, Matteo, Annunziato M., Bertini I., Panzieri S., and Pizzuti S. , CITSA 2007 - Int. Conference on Cybernetics and Information Technologies, Systems and Applications and CCCT 2007 - Int. Conference on Computing, Communications and Control Technologies, Proceedings, Volume 1, p.268-272, (2007)

New approaches to study the relationship between stomatal conductance and environmental factors under Mediterranean climatic conditions, Vitale, M., Anselmi S., Salvatori Elisabetta, and Manes F. , Atmospheric Environment, Volume 41, Number 26, p.5385-5397, (2007)

Carbon nanotube acoustic and optical sensors for volatile organic compound detection, Penza, Michele, Cassano Gennaro, Aversa Patrizia, Cusano A., Cutolo A., Giordano M., and Nicolais L. , Nanotechnology, Volume 16, Number 11, p.2536-2547, (2005)

Recognition of adulteration of Italian wines by thin-film multisensor array and artificial neural networks, Penza, Michele, and Cassano Gennaro , Analytica Chimica Acta, Volume 509, Number 2, p.159-177, (2004)

Application of principal component analysis and artificial neural networks to recognize the individual VOCs of methanol/2-propanol in a binary mixture by SAW multi-sensor array, Penza, Michele, and Cassano Gennaro , Sensors and Actuators, B: Chemical, Volume 89, Number 3, p.269-284, (2003)

Soft sensors for control of nitrogen and phosphorus removal from wastewaters by neural networks, Luccarini, L., Porrà E., Spagni A., Ratini P., Grilli Selene, Longhi S., and Bortone G. , Water Science and Technology, Volume 45, Number 4-5, p.101-107, (2002)