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| 1 | A Novel Automatic Classification System Based on Hybrid Unsupervised and Supervised Machine Learning for Electrospun Nanofibers显示文摘The manufacturing of nanomaterials by the electrospinning process requires accurate and meticulous inspection of related scanning electron microscope(SEM)images of the electrospun nanofiber,to ensure that no structural defects are produced.The presence of anomalies prevents practical application of the electrospun nanofibrous material in nanotechnology.Hence,the automatic monitoring and quality control of nanomaterials is a relevant challenge in the context of Industry 4.0.In this paper,a novel automatic classification system for homogenous(anomaly-free)and non-homogenous(with defects)nanofibers is proposed.The inspection procedure aims at avoiding direct processing of the redundant full SEM image.Specifically,the image to be analyzed is first partitioned into subimages(nanopatches)that are then used as input to a hybrid unsupervised and supervised machine learning system.In the first step,an autoencoder(AE)is trained with unsupervised learning to generate a code representing the input image with a vector of relevant features.Next,a multilayer perceptron(MLP),trained with supervised learning,uses the extracted features to classify non-homogenous nanofiber(NH-NF)and homogenous nanofiber(H-NF)patches.The resulting novel AE-MLP system is shown to outperform other standard machine learning models and other recent state-of-the-art techniques,reporting accuracy rate up to92.5%.In addition,the proposed approach leads to model complexity reduction with respect to other deep learning strategies such as convolutional neural networks(CNN).The encouraging performance achieved in this benchmark study can stimulate the application of the proposed scheme in other challenging industrial manufacturing tasks. | Cosimo Ieracitano Annunziata Paviglianiti Maurizio Campolo Amir Hussain Eros Pasero Francesco Carlo Morabito | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，1： | 3 |
| 2 | Challenges in pain assessment显示文摘 | Pasero C | 2009 | J Peianesth Nurs2009，24，1： | 1 |
| 3 | Pain assessment in infants and young chil- dren: Premature Infant Pain Profile 显示文摘 | Pasero C | 2002 | Am J Nurs2002，102，9： | 1 |
| 4 | Pain control2unacceptahle pain levels: approaches to prompting pain relief显示文摘 | SLAUGHTER A PASERO C MANWORREN R | 2002 | Am J Nurs2002，102，5： | 1 |
| 5 | Multimodal balanced analgesia in the PACU显示文摘 | Pasero C | 2003 | J Perianesth Nurs2003，18，4： | 1 |
| 6 | A dynamic two-equation sub-grid scale model 显示文摘 | GALLERANO F PASERO E CANNATA G | 2005 | Contin Mech Thermod2005，17，2： | 1 |
| 7 | Challenges in pain assessment显示文摘 | Pasero C | 2009 | J Perianesth Nurs2009，24，1： | 1 |
| 8 | Challenges in pain assessment显示文摘 | Pasero C | 2009 | J Perianesth Nurs2009，24，1： | 1 |
| 9 | Assessment of Sedation During Opioid Administration for Pain Management显示文摘 | Pasero C | 2009 | J Perianesth Nurs2009，24，3： | 1 |
| 10 | A multi-centre,doubleblind comparative study of the efficacy and safety of aceclofenac and diclofenac in the treatment of rheumatoid arthritis显示文摘 | Marcolongo R Semi U | 1995 | Curr Medi Res Opin1995，13，6： | 1 |
| 11 | Evaluation of pain in ICU patients显示文摘 | Puntillo K Pasero C Li D | 2009 | Chest2009，135，4： | 1 |
| 12 | Challenges in pain assessment显示文摘 | Pasero C | 2009 | J Perianesth Nurs2009，24，1： | 1 |
| 13 | Using the 0-- 10 pain rating scale显示文摘 | Me Caffery M Pasero DM | 2001 | Am J Nurs2001，101，： | 1 |
| 14 | Stigmatizing patients as addicts 显示文摘 | McCaffery M Pasero C | 2001 | Am J Nurs2001，101，5： | 1 |
| 15 | Structured approaches to pain management in the ICU显示文摘 | Pasero C Pnntillo K Li D | 2009 | Chest2009，135，6： | 1 |
| 16 | Challenges in pain assessment 显示文摘 | PASERO C | 2009 | J Perianesth Nurs2009，24，1： | 1 |
| 17 | Evaluation of pain in ICU patients显示文摘 | PUNTILLO K PASERO C LI D | 2009 | Chest2009，135，4： | 1 |
| 18 | The effects of inhaled nitric ox- ide alter lung transplantation 显示文摘 | Pasero D Martin EL Davi A | 2010 | Minerva Anestesiol2010，76，： | 1 |
| 19 | Orthopaedic postoperative pain manage- ment显示文摘 | Pasero C McCaffery M | 2007 | J Perianesth Nuts2007，22，3： | 1 |
| 20 | Pain ratings: The fifth vital sign显示文摘 | McCaffery M Pasero CI | 1997 | Am J Nurs1997，97，2： | 1 |
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