Sfoglia per Titolo
Decreti per l’efficienza negli usi finali di energia. Costi e benefici per i vari attori coinvolti nel meccanismo
2005-01-01 Ruggieri, Gianluca; Pagliano, L; Alari, P.
Il decreto legge liberalizzazioni
2012-01-01 Boscolo, Emanuele
Dedicated dental volumetric and total body mulrislice computed tomography: a comparison of image qualità and radiation dose
2007-01-01 Strocchi, S; Colli, V; Novario, Raffaele; Carrafiello, Gianpaolo; Giorgianni, A; Macchi, Aldo; Fugazzola, Carlo; Conte, Leopoldo
Dedicated dental volumetric and total body multislice computed tomography: a comparison of image quality and radiation dose
2007-01-01 Strocchi, S.; Colli, V.; Novario, Raffaele; Carrafiello, G.; Giorgianni, A.; Macchi, Aldo; Fugazzola, Carlo; Conte, L.
Deduplication
2012-01-01 Sacco, Francesco
Deep endometriosis and bladder and detrusor functions in women without urinary symptoms: a pilot study through an unexplored world.
2013-01-01 Serati, Maurizio; E., Cattoni; A., Braga; S., Uccella; Cromi, Antonella; Ghezzi, Fabio
Deep inelastic parton distributions and the constituent quark model
1992-01-01 Traini, M.; Conci, L.; Moschella, Ugo
Deep Latent Space Learning for Cross-Modal Mapping of Audio and Visual Signals
2019-01-01 Nawaz, Shah; Muhammad Kamran Janjua, ; Gallo, Ignazio; Arif, Mahmood; Calefati, Alessandro
A deep learning approach for quantum dots sizing from wide-angle X-ray scattering data
2024-01-01 Allara, L.; Bertolotti, F.; Guagliardi, A.
A deep learning approach to improve the control of dynamic wireless power transfer systems
2023-01-01 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
A deep learning model for Twitter spam detection
2020-01-01 Zulfikar Alom, Md.; Carminati, Barbara; Ferrari, Elena
Deep Myometrial Infiltration of Endometrial Cancer on MRI: A Radiomics-Powered Machine Learning Pilot Study
2021-01-01 Stanzione, A.; Cuocolo, R.; Del Grosso, R.; Nardiello, A.; Romeo, V.; Travaglino, A.; Raffone, A.; Bifulco, G.; Zullo, F.; Insabato, L.; Maurea, S.; Mainenti, P. P.
Deep Neural Networks for Page Stream Segmentation and Classification
2016-01-01 Gallo, Ignazio; Lucia, Noce; Alessandro, Zamberletti; Alessandro, Calefati
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images
2023-01-01 Gallo, Ignazio; Rehman, Anwar Ur; Dehkordi, Ramin Heidarian; Landro, Nicola; La Grassa, Riccardo; Boschetti, Mirco
Deep reinforcement learning for intrusion detection in internet of things: best practices, lessons learnt, and open challenges
2023-01-01 F. Cevallos M., Jesús; Rizzardi, Alessandra; Sicari, Sabrina; COEN PORISINI, Alberto
Deep sequencing reveals double mutations in cis of MPL exon 10 in myeloproliferative neoplasms
2011-01-01 Pietra, D; Brisci, A; Rumi, E; Boggi, S; Elena, C; Pietrelli, A; Bordoni, R; Ferrari, M; Passamonti, Francesco; De Bellis, G; Cremonesi, L; Cazzola, M.
Deep UV pulse shaping at 207 nm through fourier-domain frequency upconversion
2017-01-01 Lassonde, P.; Schmidt, B. E.; Ernotte, G.; Clerici, M.; Morandotti, R.; Ibrahim, H.; Lgare, F.
Deep UV pulse shaping at 207nm via Frequency domain Nonlinear Optics (FNO)
2017-01-01 Schmidt, B. E.; Lassonde, P.; Ernotte, G.; Clerici, M.; Morandotti, R.; Ibrahim, H.; Legare, F.
Deep venous thrombosis and dysfunctional thyroid diseases: a pilot study
2006-01-01 Squizzato, Alessandro; Romualdi, Erica; Piantanida, ELIANA ANGELA ROSA; Bartalena, Luigi; Buller, Hr; Venco, Achille; Ageno, Walter
Deep venous thrombosis in the medically ill.
2002-01-01 Ageno, Walter; Turpie, Ag
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Decreti per l’efficienza negli usi finali di energia. Costi e benefici per i vari attori coinvolti nel meccanismo | 1-gen-2005 | Ruggieri, Gianluca; Pagliano, L; Alari, P. | |
| Il decreto legge liberalizzazioni | 1-gen-2012 | Boscolo, Emanuele | |
| Dedicated dental volumetric and total body mulrislice computed tomography: a comparison of image qualità and radiation dose | 1-gen-2007 | Strocchi, S; Colli, V; Novario, Raffaele; Carrafiello, Gianpaolo; Giorgianni, A; Macchi, Aldo; Fugazzola, Carlo; Conte, Leopoldo | |
| Dedicated dental volumetric and total body multislice computed tomography: a comparison of image quality and radiation dose | 1-gen-2007 | Strocchi, S.; Colli, V.; Novario, Raffaele; Carrafiello, G.; Giorgianni, A.; Macchi, Aldo; Fugazzola, Carlo; Conte, L. | |
| Deduplication | 1-gen-2012 | Sacco, Francesco | |
| Deep endometriosis and bladder and detrusor functions in women without urinary symptoms: a pilot study through an unexplored world. | 1-gen-2013 | Serati, Maurizio; E., Cattoni; A., Braga; S., Uccella; Cromi, Antonella; Ghezzi, Fabio | |
| Deep inelastic parton distributions and the constituent quark model | 1-gen-1992 | Traini, M.; Conci, L.; Moschella, Ugo | |
| Deep Latent Space Learning for Cross-Modal Mapping of Audio and Visual Signals | 1-gen-2019 | Nawaz, Shah; Muhammad Kamran Janjua, ; Gallo, Ignazio; Arif, Mahmood; Calefati, Alessandro | |
| A deep learning approach for quantum dots sizing from wide-angle X-ray scattering data | 1-gen-2024 | Allara, L.; Bertolotti, F.; Guagliardi, A. | |
| A deep learning approach to improve the control of dynamic wireless power transfer systems | 1-gen-2023 | Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E. | |
| A deep learning model for Twitter spam detection | 1-gen-2020 | Zulfikar Alom, Md.; Carminati, Barbara; Ferrari, Elena | |
| Deep Myometrial Infiltration of Endometrial Cancer on MRI: A Radiomics-Powered Machine Learning Pilot Study | 1-gen-2021 | Stanzione, A.; Cuocolo, R.; Del Grosso, R.; Nardiello, A.; Romeo, V.; Travaglino, A.; Raffone, A.; Bifulco, G.; Zullo, F.; Insabato, L.; Maurea, S.; Mainenti, P. P. | |
| Deep Neural Networks for Page Stream Segmentation and Classification | 1-gen-2016 | Gallo, Ignazio; Lucia, Noce; Alessandro, Zamberletti; Alessandro, Calefati | |
| Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images | 1-gen-2023 | Gallo, Ignazio; Rehman, Anwar Ur; Dehkordi, Ramin Heidarian; Landro, Nicola; La Grassa, Riccardo; Boschetti, Mirco | |
| Deep reinforcement learning for intrusion detection in internet of things: best practices, lessons learnt, and open challenges | 1-gen-2023 | F. Cevallos M., Jesús; Rizzardi, Alessandra; Sicari, Sabrina; COEN PORISINI, Alberto | |
| Deep sequencing reveals double mutations in cis of MPL exon 10 in myeloproliferative neoplasms | 1-gen-2011 | Pietra, D; Brisci, A; Rumi, E; Boggi, S; Elena, C; Pietrelli, A; Bordoni, R; Ferrari, M; Passamonti, Francesco; De Bellis, G; Cremonesi, L; Cazzola, M. | |
| Deep UV pulse shaping at 207 nm through fourier-domain frequency upconversion | 1-gen-2017 | Lassonde, P.; Schmidt, B. E.; Ernotte, G.; Clerici, M.; Morandotti, R.; Ibrahim, H.; Lgare, F. | |
| Deep UV pulse shaping at 207nm via Frequency domain Nonlinear Optics (FNO) | 1-gen-2017 | Schmidt, B. E.; Lassonde, P.; Ernotte, G.; Clerici, M.; Morandotti, R.; Ibrahim, H.; Legare, F. | |
| Deep venous thrombosis and dysfunctional thyroid diseases: a pilot study | 1-gen-2006 | Squizzato, Alessandro; Romualdi, Erica; Piantanida, ELIANA ANGELA ROSA; Bartalena, Luigi; Buller, Hr; Venco, Achille; Ageno, Walter | |
| Deep venous thrombosis in the medically ill. | 1-gen-2002 | Ageno, Walter; Turpie, Ag |
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