COMPARING WIGNER-VILLE DISTRIBUTION AND WAVELET TRANSFORM FOR THE VIBRATION DIAGNOSIS OF ASSEMBLY FAULTS IN DIESEL ENGINES
2008 Delvecchio, Simone; D'Elia, Gianluca; Dalpiaz, Giorgio
On the use of Vibration Signal Analysis for Industrial Quality Control: Part II
2014 Delvecchio, Simone; D'Elia, Gianluca; Malago', Marco; Dalpiaz, Giorgio
A diagnostic protocol for the monitoring of bearing fault evolution based on blind deconvolution algorithms
2018 Buzzoni, M.; Elia, Soave; D’Elia, Gianluca.; Mucchi, E.; Dalpiaz, G.
On the Use of Fourier-Bessel Series Expansion for Gear Diagnostics
2012 D'Elia, Gianluca; Delvecchio, Simone; Dalpiaz, Giorgio
Gear spall detection by non-stationary vibration signal analysis
2008 D'Elia, Gianluca; Delvecchio, Simone; Dalpiaz, Giorgio
Use of the cyclostationary modelling for the diagnosis of assembly faults in i.c. engine cold tests
2008 Delvecchio, Simone; D'Elia, Gianluca; Cavallari, Marco; Dalpiaz, Giorgio
On the use of vibration signal analysis for industrial quality control
2009 Cavallari, Marco; D'Elia, Gianluca; Delvecchio, Simone; Malago', Marco; Mucchi, Emiliano; Dalpiaz, Giorgio
Prevalence, correlations and prognostic significance of the presence of microscopic vascular invasion following complete resection of Stage I non-small cell carcinoma: an underestimated factor?
2010 Ruffini, Enrico; Filosso, Pier Luigi; Asioli, Sofia; L., Buffoni; Oliaro, Alberto
Mammalian target of rapamycin (MTOR) signaling activation patterns in neuroendocrine tumors of the lung
2008 Righi, Luisella; Volante, Marco; Tavaglione, V; Rosas, R; Filosso, Pier Luigi; Novello, Silvia; Ardissone, Francesco; Papotti, Mauro Giulio
LARGE CELL NEUROENDOCRINE CARCINOMA OF THE LUNG A SUBSET OF PRIMARY LUNG CANCER WITH POOR PROGNOSIS
2009 Filosso, Pier Luigi; Ruffini, Enrico; Asioli, Sofia; S., Bretti; L., Macri; Oliaro, Alberto
Multifocal (MF) T4 non-small cell lung cancer: a subset with favourable prognosis
2008 Filosso, Pier Luigi; Ruffini, Enrico; Pizzato, E; Lyberis, P; Giobbe, R; Oliaro, Alberto
The impact of adjuvant chemotherapy in atypical carcinoid of the lung. A propensity score analysis of the European Society of Thoracic Surgeons lung neuroendocrine database
2015 Filosso, Pier Luigi; Evangelista, A; Guerrera, Francesco; Thomas, P; Welter, S; Moreno Casado, P; Venuta, F; Rendina, E; Brunelli, A; Ampollini, L; Ardissone, Francesco; Travis, W; Nosotti, M; Sagan, D; Raveglia, F; Rena, O; Margaritora, S; Sarkaria, I.
Indagini sulla parassitizzazione di Halyomorpha halys in Emilia Romagna nell’ambito del progetto “Haly.Bio"
2022 Maistrello, L.; Costi, E.; Di Bella, E.; Masetti, A.; Bittau, B.; Lami, F.; Zaniboni, A.; Torreggiani, D.; Vaccari, G.; Caruso, S.; Casoli, L.; Preti, M.; Rufolo, E.; Landi, M.; Fagioli, L.; Manucci, F.; Fabbri, G.; Ferrari, R.; Zoboli, F.; Bariselli, M.; Tommasini, M. G.
Digital Twins: Neural-Networks for the implementation of digital twins of gearboxes
2022 Zippo, A.; Bergamini, L.; D'Elia, G.; Pellicano, F.; Dalpiaz, G.; Iarriccio, G.; Molaie, M.
Exploiting Machine Learning and Industry 4.0 traceability technologies to re-engineering the seasoning process of traditional Parma's Ham
2021 Mezzogori, D.; Zammori, F.
Digilab4u: General architecture for a network of labs
2020 Galli, M.; Mezzogori, D.; Reverberi, D.; Uckelmann, D.; Ustenko, M.; Volpi, A.
A review of RFID based solutions for indoor localization and location-based classification of tags
2021 Esposito, G.; Mezzogori, D.; Neroni, M.; Rizzi, A.; Romagnoli, Giovanni; Rosa, Mirko
Including energy saving in planning and scheduling. A case study
2022 Bertolini, M.; Galli, M.; Mezzogori, D.; Neroni, M.
On the use of Serious Games in Operations Management: an investigation on connections between students' game performance and final evaluation
2022 Esposito, G.; Galli, M.; Mezzogori, D.; Reverberi, D.; Romagnoli, G.
An entity embeddings deep learning approach for demand forecast of highly differentiated products
2019 Mezzogori, D.; Zammori, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| COMPARING WIGNER-VILLE DISTRIBUTION AND WAVELET TRANSFORM FOR THE VIBRATION DIAGNOSIS OF ASSEMBLY FAULTS IN DIESEL ENGINES | 1-gen-2008 | Delvecchio, Simone; D'Elia, Gianluca; Dalpiaz, Giorgio | |
| On the use of Vibration Signal Analysis for Industrial Quality Control: Part II | 1-gen-2014 | Delvecchio, Simone; D'Elia, Gianluca; Malago', Marco; Dalpiaz, Giorgio | |
| A diagnostic protocol for the monitoring of bearing fault evolution based on blind deconvolution algorithms | 1-gen-2018 | Buzzoni, M.; Elia, Soave; D’Elia, Gianluca.; Mucchi, E.; Dalpiaz, G. | |
| On the Use of Fourier-Bessel Series Expansion for Gear Diagnostics | 1-gen-2012 | D'Elia, Gianluca; Delvecchio, Simone; Dalpiaz, Giorgio | |
| Gear spall detection by non-stationary vibration signal analysis | 1-gen-2008 | D'Elia, Gianluca; Delvecchio, Simone; Dalpiaz, Giorgio | |
| Use of the cyclostationary modelling for the diagnosis of assembly faults in i.c. engine cold tests | 1-gen-2008 | Delvecchio, Simone; D'Elia, Gianluca; Cavallari, Marco; Dalpiaz, Giorgio | |
| On the use of vibration signal analysis for industrial quality control | 1-gen-2009 | Cavallari, Marco; D'Elia, Gianluca; Delvecchio, Simone; Malago', Marco; Mucchi, Emiliano; Dalpiaz, Giorgio | |
| Prevalence, correlations and prognostic significance of the presence of microscopic vascular invasion following complete resection of Stage I non-small cell carcinoma: an underestimated factor? | 1-gen-2010 | Ruffini, Enrico; Filosso, Pier Luigi; Asioli, Sofia; L., Buffoni; Oliaro, Alberto | |
| Mammalian target of rapamycin (MTOR) signaling activation patterns in neuroendocrine tumors of the lung | 1-gen-2008 | Righi, Luisella; Volante, Marco; Tavaglione, V; Rosas, R; Filosso, Pier Luigi; Novello, Silvia; Ardissone, Francesco; Papotti, Mauro Giulio | |
| LARGE CELL NEUROENDOCRINE CARCINOMA OF THE LUNG A SUBSET OF PRIMARY LUNG CANCER WITH POOR PROGNOSIS | 1-gen-2009 | Filosso, Pier Luigi; Ruffini, Enrico; Asioli, Sofia; S., Bretti; L., Macri; Oliaro, Alberto | |
| Multifocal (MF) T4 non-small cell lung cancer: a subset with favourable prognosis | 1-gen-2008 | Filosso, Pier Luigi; Ruffini, Enrico; Pizzato, E; Lyberis, P; Giobbe, R; Oliaro, Alberto | |
| The impact of adjuvant chemotherapy in atypical carcinoid of the lung. A propensity score analysis of the European Society of Thoracic Surgeons lung neuroendocrine database | 1-gen-2015 | Filosso, Pier Luigi; Evangelista, A; Guerrera, Francesco; Thomas, P; Welter, S; Moreno Casado, P; Venuta, F; Rendina, E; Brunelli, A; Ampollini, L; Ardissone, Francesco; Travis, W; Nosotti, M; Sagan, D; Raveglia, F; Rena, O; Margaritora, S; Sarkaria, I. | |
| Indagini sulla parassitizzazione di Halyomorpha halys in Emilia Romagna nell’ambito del progetto “Haly.Bio" | 1-gen-2022 | Maistrello, L.; Costi, E.; Di Bella, E.; Masetti, A.; Bittau, B.; Lami, F.; Zaniboni, A.; Torreggiani, D.; Vaccari, G.; Caruso, S.; Casoli, L.; Preti, M.; Rufolo, E.; Landi, M.; Fagioli, L.; Manucci, F.; Fabbri, G.; Ferrari, R.; Zoboli, F.; Bariselli, M.; Tommasini, M. G. | |
| Digital Twins: Neural-Networks for the implementation of digital twins of gearboxes | 1-gen-2022 | Zippo, A.; Bergamini, L.; D'Elia, G.; Pellicano, F.; Dalpiaz, G.; Iarriccio, G.; Molaie, M. | |
| Exploiting Machine Learning and Industry 4.0 traceability technologies to re-engineering the seasoning process of traditional Parma's Ham | 1-gen-2021 | Mezzogori, D.; Zammori, F. | |
| Digilab4u: General architecture for a network of labs | 1-gen-2020 | Galli, M.; Mezzogori, D.; Reverberi, D.; Uckelmann, D.; Ustenko, M.; Volpi, A. | |
| A review of RFID based solutions for indoor localization and location-based classification of tags | 1-gen-2021 | Esposito, G.; Mezzogori, D.; Neroni, M.; Rizzi, A.; Romagnoli, Giovanni; Rosa, Mirko | |
| Including energy saving in planning and scheduling. A case study | 1-gen-2022 | Bertolini, M.; Galli, M.; Mezzogori, D.; Neroni, M. | |
| On the use of Serious Games in Operations Management: an investigation on connections between students' game performance and final evaluation | 1-gen-2022 | Esposito, G.; Galli, M.; Mezzogori, D.; Reverberi, D.; Romagnoli, G. | |
| An entity embeddings deep learning approach for demand forecast of highly differentiated products | 1-gen-2019 | Mezzogori, D.; Zammori, F. |
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