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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 | Four-injection brachial plexus block using peripheral nerve stimulator:A comparison between axillary and humeral approach显示文摘 | Sia S Lepri A Campolo MC | 2002 | Anesth Analg2002，95，： | 1 |
| 3 | Motor selection via impedancematching for driving nonlinearly damped, resonant loads 显示文摘 | Campolo D | 2010 | Mechatronics2010，20，5： | 1 |
| 4 | Efficient charge recovery method for driving piezoelectric actuators with quasi-square wave- s显示文摘 | Campolo D Sitti M Fearing R S | 2003 | IEEE Trans on Ultrasonics Ferroelectrics and Frequency Control2003，50，： | 1 |
| 5 | River flood forecasting with neural network model显示文摘 | CAMPOLO M ANDREUSSI P SOLDATI A | 1999 | Water Resour Res1999，35，4： | 1 |
| 6 | Clinical and virological findings in pups naturally infected by canine parvovirus type 2 Glu-426 mutant显示文摘 | Desario C Decaro N Campolo M | 2005 | J Vet Diagn Invest2005，17，： | 1 |
| 7 | Virological and Molecular Characterizationof a Mammalian Orthoreovirus Type 3 Strains Isolate from a Dog in Italy 显示文摘 | Decaro N Campolo M | 2005 | Veterinary Microbiology2005，109，12： | 1 |
| 8 | Canine parvovirus infection: Which diagnostic test for virus? 显示文摘 | Desario C Decaro N Campolo M | 2005 | J Virol Methods2005，126，： | 1 |
| 9 | Virological and molecular characterization of a mammalian orthoreovirus type 3 strain isolated from a dog in Italy 显示文摘 | Decaro N Campolo M Desario C | 2005 | Vet Microbiol2005，109，12： | 1 |
| 10 | New approaches for the molecular characterization of canine parvovirus type 2 strains 显示文摘 | Decaro N Elia G Campolo M | 2005 | J Vet Med2005，52，： | 1 |
| 11 | Clinical and virological findings in pups naturally infected by canine parvovirus type2 Glu-426 mutant 显示文摘 | Decaro N Desario C Campolo M | 2005 | J Vet Diagn Invest2005，17，2： | 1 |
| 12 | Combination therapy with melatonin and dexa-methasone in a mouse model of traumatic brain injury显示文摘 | Campolo M Ahmad A Crupi R Impellizzeri D Morabito R Esposito E Cuzzocrea S | | 0，，： | 1 |
| 13 | Absence of TLR4 reduces neurovascular unit and secondary inflammatory process after trau- matic brain injury in mice显示文摘 | Ahmad A Crupi R Campolo M | 2013 | PLoS One2013，8，57： | 1 |
| 14 | Effect of homocys teine lowering by 5-methyltetrahydrofolate on redox status in hyperhomoeysteinemia显示文摘 | Caruso R Campolo J Sedda V | 2006 | J Cardiovasc Pharmacol2006，47，54： | 1 |
| 15 | Artificial neural network approach to flood forecasting in the River Amo 显示文摘 | Campolo M Soldati A Andreussi P | 2003 | Hydrological Sciences Journal2003，48，3： | 1 |
| 16 | Virological and mo- lecular characterization of a mammalian orthoreovirus type 3 strain isolated from a dog in Italy显示文摘 | Decaro N Campolo M Desario C | 2005 | Vet Mi- crobiol2005，109，12： | 1 |
| 17 | Motor Selection Via Impedance-Matching for Driving Nonlinearly Damped, Resonant Loads 显示文摘 | CAMPOLO D | 2010 | Mechatronics2010，，20： | 1 |
| 18 | Response of four stored products insects to a structural heat treatment in a flour mill显示文摘 | Campolo O Verdone M Laudani F | 2013 | Journal of Stored Products Research2013，54，1： | 1 |
| 19 | Detection of bo- vine coronavirus using a TaqMan-based real-time RT-PCR assay显示文摘 | Decaro N Elia G Campolo M | 2008 | J Virol Method2008，151，2： | 1 |
| 20 | Canine parvovirus infection: which diagnostic test for virus显示文摘 | Desario C Decaro N Campolo M | 2005 | Journal of Virological Methods2005，126，： | 1 |
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