G. Fattoruso

发表

Semi-Supervised Learning Techniques in Artificial Olfaction: A Novel Approach to Classification Problems and Drift Counteraction

S. De Vito, G. Fattoruso, G. Di Francia, 2012, IEEE Sensors Journal.

Estimating the suspended sediment yield in a river network by means of geomorphic parameters and regression relationships

Grazia Fattoruso, Sergio Grauso, Alberto Montanari, 2008 .

Open source GIS Tools to Map Earthquake Damage Scenarios and to Support Emergency

G. Fattoruso, L. L. Porta, M. Pollino, 2012 .

A Sensor Fusion Method Applied to Networked Rain Gauges for Defining Statistically Based Rainfall Thresholds for Landslide Triggering

F. Tortorella, S. D. Vito, G. Francia, 2017 .

Climate and desertification: indicators for an assessment methodology

G. Fattoruso, E. Caiaffa, R. Donolo, 2009 .

Mid Term Field Validation of the MONICA Air Quality Multisensor

E. Massera, E. Esposito, S. De Vito, 2019 .

Is on field calibration strategy robust to relocation?

M. Salvato, N. Castell, K. Karatzas, 2017, 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN).

Chemically exfoliated graphene detects NO 2 at the ppb level

E. Massera, G. Francia, G. Fattoruso, 2011 .

Using Mobile Monitoring and Atmospheric Dispersion Modeling for Capturing High Spatial Air Pollutant Variability in Cities

S. De Vito, G. Fattoruso, G. Di Francia, 2022, Atmosphere.

A novel approach for detecting alerts in urban pollution monitoring with low cost sensors

Sabato Manfredi, Francesco Tortorella, Carlo Sansone, 2013, 2013 IEEE International Workshop on Measurements & Networking (M&N).

An integrated infrastructure for distributed waste water quality monitoring and decision support

F. Ambrosino, S. De Vito, A. Buonanno, 2015, 2015 XVIII AISEM Annual Conference.

Applying Numerical Models and Optimized Sensor Networks for Drinking Water Quality Control

Massimiliano Fabbricino, Grazia Fattoruso, Girolamo Di Francia, 2015 .

A maker friendly mobile and social sensing approach to urban air quality monitoring

Grazia Fattoruso, Saverio De Vito, Fabrizio Formisano, 2014, IEEE SENSORS 2014 Proceedings.

Wireless Energy Meters for Distributed Energy Efficiency Applications

Valentina Casola, Saverio De Vito, Grazia Fattoruso, 2012 .

Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding

Claudio Marrocco, Mario Molinara, Francesco Tortorella, 2017, ICCSA.

Collaborative Open Source Geospatial Tools and Maps Supporting the Response Planning to Disastrous Earthquake Events

Maurizio Pollino, Grazia Fattoruso, Antonio Bruno Della Rocca, 2012, Future Internet.

Site Suitability Analysis for Low Cost Sensor Networks for Urban Spatially Dense Air Pollution Monitoring

Luigi Pariota, S. De Vito, G. Fattoruso, 2020, Atmosphere.

Hyper resoluted Air Quality maps in urban environment with crowdsensed data from intelligent low cost sensors

E. Massera, S. D. Vito, G. Francia, 2022, International Symposium on Olfaction and Electronic Nose.

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

Adrian M. Ionescu, Elena Esposito, Grazia Fattoruso, 2021, Sensors.

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

Grazia Fattoruso, Kostas Karatzas, Nuria Castell, 2017 .

10 - Machine learning for future intelligent air quality networks

Grazia Fattoruso, E. Esposito, S. De Vito, 2016 .

Stochastic Comparison of Machine Learning Approaches to Calibration of Mobile Air Quality Monitors

Grazia Fattoruso, Saverio De Vito, E. Esposito, 2016, Sensors.

Correlating Air Pollution Concentrations and Vehicular Emissions in an Italian Roadway Tunnel by Means of Low Cost Sensors

E. Massera, E. Esposito, S. De Vito, 2023, Atmosphere.

Computational Intelligence for Smart Air Quality Monitors Calibration

Grazia Fattoruso, Elena Esposito, Saverio De Vito, 2017, ICCSA.

An Ontology Framework for Flooding Forecasting

Maurizio Pollino, Grazia Fattoruso, Saverio De Vito, 2014, ICCSA.

An adaptive immune based anomaly detection algorithm for smart WSN deployments

M. Salvato, S. De Vito, S. Guerra, 2015, 2015 XVIII AISEM Annual Conference.

Detection and quantification of composite surface contaminants with an e-nose for fast and reliable pre-bond quality assessment of aircraft components.

Kai Brune, Ettore Massera, Paola Di Palma, 2016 .

Electronic Nose as an NDT Tool for Aerospace Industry

Ettore Massera, Grazia Fattoruso, Girolamo Di Francia, 2015 .

A Semi-Supervised Learning Approach to Artificial Olfaction

Francesco Tortorella, Grazia Fattoruso, Saverio De Vito, 2012 .

Relations between climatic–geomorphological parameters and sediment yield in a mediterranean semi-arid area (Sicily, southern Italy)

G. Fattoruso, A. Pagano, S. Grauso, 2008 .

Electronic Nose Detection of CFRP Surface Contamination for Securing Composite Bonding in Lightweight Aircraft

E. Massera, S. D. Vito, G. Francia, 2014 .

Electronic Noses for Composites Surface Contamination Detection in Aerospace Industry

Grazia Fattoruso, Elena Esposito, Fabrizio Formisano, 2017, Sensors.

CFRP surface contamination detection by an electronic nose device for quality assessment of adhesive bonds in lightweight aircraft structures

E. Massera, S. D. Vito, G. Francia, 2013 .

Exposure to airborne particulate matter during commuting using portable sensors: Effects of transport modes in a French metropolis study case.

S. De Vito, G. Fattoruso, D. Praud, 2024, Journal of environmental management.

Semi‐Supervised Learning Techniques in AO Applications: A Novel Approach To Drift Counteraction

Francesco Tortorella, Grazia Fattoruso, S. De Vito, 2011 .