Sfoglia per Autore
A Low Complexity Rolling Bearing Diagnosis Technique Based on Machine Learning and Smart Preprocessing
2023-01-01 Fort, A.; Landi, E.; Mugnaini, M.; Vignoli, V.
Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings
2023-01-01 Landi, Elia; Prato, Andrea; Fort, Ada; Mugnaini, Marco; Vignoli, Valerio; Facello, Alessio; Mazzoleni, Fabrizio; Murgia, Michele; Schiavi, Alessandro
A Photoacoustic-Based Measurement System for Dual Detection of NO2 and CO2 in Combustion Exhaust Gases
2023-01-01 Panzardi, Enza; Drese, Klaus Stefan; Mugnaini, Marco; Parri, Lorenzo; Vignoli, Valerio; Fort, Ada
A Novel Front-End Circuit for the Digital Conversion of QCM-D Responses for FPGA-Based Frequency Measurements
2023-01-01 Addabbo, T.; Fort, A.; Landi, E.; Moretti, R.; Mugnaini, M.; Vignoli, V.
Characterization of the Response of Magnetron Sputtered In2O3−x Sensors to NO2
2023-01-01 Panzardi, E.; Calisi, N.; Enea, N.; Fort, A.; Mugnaini, M.; Vignoli, V.; Vinattieri, A.; Bruzzi, M.
Highly Sensitive Photoacoustic NO2Measurement System Based on an Optimized Ring-Shaped Resonant Cell
2023-01-01 Fort, A.; Mugnaini, M.; Panzardi, E.; Vignoli, V.; Dotzer, F.; Drese, K. S.
A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement
2023-01-01 Parri, L.; Tani, M.; Baldo, D.; Parrino, S.; Landi, E.; Mugnaini, M.; Fort, A.
A High Accuracy QCM Based Sensing System for in Water Ammonia Monitoring
2023-01-01 Fort, Ada; Lo Grasso, Anna; Landi, Elia; Mugnaini, Marco; Panzardi, Enza; Vignoli, Valerio; Talarico, Luigi; Consumi, Marco; Magnani, Agnese
Bearing Failure Classification with Low Complexity Neural Network
2023-01-01 Fort, A.; Mugnaini, M.; Spinelli, F.; Landi, E.; Moretti, R.
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings
2023-01-01 Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F.
Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier
2022-01-01 Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Vignoli, Valerio; Intravaia, Matteo; Tani, Marco; Bianchini, Monica; Scarselli, Franco; Corradini, BARBARA TONIELLA
Monitoring of the Viscoelastic behaviour of bacterial biofilms exploiting an accurate QCM system
2022-01-01 Fort, A; Landi, E; Lo Grasso, A; Mugnaini, M; Panzardi, E; Vignoli, V; Mahdizadeh, Ff; Magnani, A
Strategies for the Accurate Measurement of the Resonance Frequency in QCM-D Systems via Low-Cost Digital Techniques
2022-01-01 Addabbo, T.; Fort, A.; Landi, E.; Moretti, R.; Mugnaini, M.; Vignoli, V.
High Performance Analog MEMS for IoT Based Condition Monitoring, Characterization with a Bearing Failure Emulation Test Bench
2022-01-01 Landi, E.; Parri, L.; Moretti, R.; Fort, A.; Mugnaini, M.; Vignoli, V.
How to stretch system reliability exploiting mission constraints: A practical roadmap for industries
2022-01-01 Mugnaini, M.; Fort, A.
A Stochastic Algorithm to Design Min-Entropy Tuning Controllers for True Random Number Generators
2022-01-01 Addabbo, T.; Fort, A.; Moretti, R.; Mugnaini, M.; Papini, D.; Vignoli, V.
Assessment of LoRaWAN Transmission Systems under Temperature and Humidity, Gas and Vibration Ageing Effects within IIoT Contexts
2022-01-01 Di Renzone, G.; Landi, E.; Mugnaini, M.; Parri, L.; Peruzzi, G.; Pozzebon, A.
An IoT sensor node for health monitoring of artwork and ancient wooden structures
2022-01-01 Landi, E.; Parri, L.; Moretti, R.; Fort, A.; Mugnaini, M.; Vignoli, V.
Roller Bearing Failures Classification with Low Computational Cost Embedded Machine Learning
2022-01-01 Bertocco, M.; Fort, A.; Landi, E.; Mugnaini, M.; Parri, L.; Peruzzi, G.; Pozzebon, A.
QCM Measurements of RH with Nanostructured Carbon-Based Materials: Part 1—Theory and Model
2022-01-01 Fort, A.; Lo Grasso, A.; Mugnaini, M.; Panzardi, E.; Vignoli, V.
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| A Low Complexity Rolling Bearing Diagnosis Technique Based on Machine Learning and Smart Preprocessing | 1-gen-2023 | Fort, A.; Landi, E.; Mugnaini, M.; Vignoli, V. | - | |
| Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings | 1-gen-2023 | Landi, Elia; Prato, Andrea; Fort, Ada; Mugnaini, Marco; Vignoli, Valerio; Facello, Alessio; Mazzoleni, Fabrizio; Murgia, Michele; Schiavi, Alessandro | - | |
| A Photoacoustic-Based Measurement System for Dual Detection of NO2 and CO2 in Combustion Exhaust Gases | 1-gen-2023 | Panzardi, Enza; Drese, Klaus Stefan; Mugnaini, Marco; Parri, Lorenzo; Vignoli, Valerio; Fort, Ada | - | |
| A Novel Front-End Circuit for the Digital Conversion of QCM-D Responses for FPGA-Based Frequency Measurements | 1-gen-2023 | Addabbo, T.; Fort, A.; Landi, E.; Moretti, R.; Mugnaini, M.; Vignoli, V. | - | |
| Characterization of the Response of Magnetron Sputtered In2O3−x Sensors to NO2 | 1-gen-2023 | Panzardi, E.; Calisi, N.; Enea, N.; Fort, A.; Mugnaini, M.; Vignoli, V.; Vinattieri, A.; Bruzzi, M. | - | |
| Highly Sensitive Photoacoustic NO2Measurement System Based on an Optimized Ring-Shaped Resonant Cell | 1-gen-2023 | Fort, A.; Mugnaini, M.; Panzardi, E.; Vignoli, V.; Dotzer, F.; Drese, K. S. | - | |
| A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement | 1-gen-2023 | Parri, L.; Tani, M.; Baldo, D.; Parrino, S.; Landi, E.; Mugnaini, M.; Fort, A. | - | |
| A High Accuracy QCM Based Sensing System for in Water Ammonia Monitoring | 1-gen-2023 | Fort, Ada; Lo Grasso, Anna; Landi, Elia; Mugnaini, Marco; Panzardi, Enza; Vignoli, Valerio; Talarico, Luigi; Consumi, Marco; Magnani, Agnese | - | |
| Bearing Failure Classification with Low Complexity Neural Network | 1-gen-2023 | Fort, A.; Mugnaini, M.; Spinelli, F.; Landi, E.; Moretti, R. | - | |
| A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings | 1-gen-2023 | Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F. | - | |
| Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier | 1-gen-2022 | Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Vignoli, Valerio; Intravaia, Matteo; Tani, Marco; Bianchini, Monica; Scarselli, Franco; Corradini, BARBARA TONIELLA | - | |
| Monitoring of the Viscoelastic behaviour of bacterial biofilms exploiting an accurate QCM system | 1-gen-2022 | Fort, A; Landi, E; Lo Grasso, A; Mugnaini, M; Panzardi, E; Vignoli, V; Mahdizadeh, Ff; Magnani, A | - | |
| Strategies for the Accurate Measurement of the Resonance Frequency in QCM-D Systems via Low-Cost Digital Techniques | 1-gen-2022 | Addabbo, T.; Fort, A.; Landi, E.; Moretti, R.; Mugnaini, M.; Vignoli, V. | - | |
| High Performance Analog MEMS for IoT Based Condition Monitoring, Characterization with a Bearing Failure Emulation Test Bench | 1-gen-2022 | Landi, E.; Parri, L.; Moretti, R.; Fort, A.; Mugnaini, M.; Vignoli, V. | - | |
| How to stretch system reliability exploiting mission constraints: A practical roadmap for industries | 1-gen-2022 | Mugnaini, M.; Fort, A. | - | |
| A Stochastic Algorithm to Design Min-Entropy Tuning Controllers for True Random Number Generators | 1-gen-2022 | Addabbo, T.; Fort, A.; Moretti, R.; Mugnaini, M.; Papini, D.; Vignoli, V. | - | |
| Assessment of LoRaWAN Transmission Systems under Temperature and Humidity, Gas and Vibration Ageing Effects within IIoT Contexts | 1-gen-2022 | Di Renzone, G.; Landi, E.; Mugnaini, M.; Parri, L.; Peruzzi, G.; Pozzebon, A. | - | |
| An IoT sensor node for health monitoring of artwork and ancient wooden structures | 1-gen-2022 | Landi, E.; Parri, L.; Moretti, R.; Fort, A.; Mugnaini, M.; Vignoli, V. | - | |
| Roller Bearing Failures Classification with Low Computational Cost Embedded Machine Learning | 1-gen-2022 | Bertocco, M.; Fort, A.; Landi, E.; Mugnaini, M.; Parri, L.; Peruzzi, G.; Pozzebon, A. | - | |
| QCM Measurements of RH with Nanostructured Carbon-Based Materials: Part 1—Theory and Model | 1-gen-2022 | Fort, A.; Lo Grasso, A.; Mugnaini, M.; Panzardi, E.; Vignoli, V. | - |
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