Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advanced Process Monitoring for Industry 4.0
| Advanced Process Monitoring for Industry 4.0 |
| Autore | Reis Marco S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (288 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
spatial-temporal data
pasting process process image convolutional neural network Industry 4.0 auto machine learning failure mode effects analysis risk priority number rolling bearing condition monitoring classification OPTICS statistical process control control chart pattern disruptions disruption management fault diagnosis construction industry plaster production neural networks decision support systems expert systems failure mode and effects analysis (FMEA) discriminant analysis non-intrusive load monitoring load identification membrane data reconciliation real-time online monitoring Six Sigma multivariate data analysis latent variables models PCA PLS high-dimensional data statistical process monitoring artificial generation of variability data augmentation quality prediction continuous casting multiscale time series classification imbalanced data combustion optical sensors spectroscopy measurements signal detection digital processing principal component analysis curve resolution data mining semiconductor manufacturing quality control yield improvement fault detection process control multi-phase residual recursive model multi-mode model process monitoring |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557491503321 |
Reis Marco S
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Near Infrared Spectroscopy and Related Computational Methods
| Advances in Near Infrared Spectroscopy and Related Computational Methods |
| Autore | Bec Krzysztof B |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (496 p.) |
| Soggetto non controllato |
pocket-sized spectrometer
standard germination tests total hydroxycinnamic derivatives hyperspectral image quantitative analysis modeling tissue chemotherapy FTIR spectroscopy cheese biomeasurements chemometrics affine invariance rapid identification biodiagnosis bioanalytical applications fat NIRS pixel-wise paraffin-embedded late preterm maize kernel photonics hyperspectral image processing image processing colorectal cancer test set validation deep convolutional neural network near-infrared fluorescence classification variety discrimination near-infrared hyperspectral imaging ensemble learning light origin traceability Paris polyphylla var. yunnanensis Fourier transform mid-infrared spectroscopy dry matter Fourier transform infrared spectroscopy hyperspectral imaging FT-NIR spectroscopy proximal sensing perfusion measurements near-infrared spectroscopy stained carotenoids cellular imaging perturbation direct model transferability clinical classifications counterfeit and substandard pharmaceuticals hyperspectral imaging technology spectral imaging SVM nutritional parameters extra virgin olive oil ethanol osteopathy living cells object-wise water-mirror approach Chrysanthemum bootstrapping soft shrinkage FTIR PLS-R multivariate data analysis combination bands binary dragonfly algorithm geographical origin Vitis vinifera L. glucose detection di-(2-picolyl)amine non-destructive sensor splanchnic adulteration animal origin melamine artemether MicroNIR™ brain fluorescent probes Folin-Ciocalteu SCiO support vector machine anharmonic quantum mechanical calculations PLSR Zn(II) RMSEP overtones blackberries pasta/sauce blends FT-IR partial least squares calibration partial least squares (PLS) auxiliary diagnosis handheld near-infrared spectroscopy precision viticulture partial least squares seeds vitality freeze-damaged near infrared discriminant analysis corn seed quantum chemical calculation anharmonic calculation Trichosanthis Fructus moisture analytical spectroscopy Raman spectroscopy NIR spectroscopy calibration transfer imaging water lumefantrine BRAF V600E mutation wavelength selection bone cancer imaging visualization near infrared spectroscopy raisins chemometric techniques data fusion prepared slices Ewing sarcoma biomonitoring Rubus fructicosus VIS/NIR hyperspectral imaging combinations bands quantitative analysis model partial least square regression DFT calculations TreeBagger antimalarial tablets accelerated aging agriculture crude drugs spectroscopy rice seeds PLS isotopic substitution multivariate calibration phytoextraction Fourier-transform near-infrared spectroscopy phenolics deparaffinized near-infrared (NIR) spectroscopy SIMCA counter propagation artificial neural network fructose PLS-DA ultra-high performance liquid chromatography aquaphotomics support vector machine-discriminant analysis hier-SVM DNA NIR support vector machine model API principal component analysis |
| ISBN | 3-03928-053-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372786503321 |
|
Bec Krzysztof B
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Legumes as Food Ingredient : Characterization, Processing, and Applications
| Legumes as Food Ingredient : Characterization, Processing, and Applications |
| Autore | Clemente Alfonso |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
Lens
protein amino acid legume functionality bioactive peptides gluten-free legumes faba beans fermentation textural properties nutritional properties wattle seed species nutritional profile sensory profile gel electrophoresis vicilin 7S-globulins food allergens Lup an 1 sweet lupin species food labelling processed food defatted soybean flour jet mill super-fine powder tofu quantitative descriptive analysis texture profile analysis volatiles fatty acids characterisation fingerprinting multivariate data analysis lupin plant protein aroma profile techno-functional properties lactobacteria foam SDS-PAGE solubility emulsifying capacity pea protein lactic acid bacteria yeast beany green soybean allergens allergenicity genetically modified Gly m 7 galactooligosaccharides GOS gut microbiota pea prebiotic raffinose oligosaccharides short-chain fatty acids (SCFA) pulses health benefits processing microbiota sensory properties |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Legumes as Food Ingredient |
| Record Nr. | UNINA-9910557204903321 |
|
Clemente Alfonso
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Natural Products and Drug Discovery
| Natural Products and Drug Discovery |
| Autore | Avato Pinarosa |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto non controllato |
dihydrochalcones
cytotoxicity-guided harpagoside biotechnology synergy Imperata cylindrica 5?-dimethylchalcone (DMC) antioxidant activity marine resources phenolic derivatives secondary metabolites antimicrobial agents antimicrobial resistance metabolomics Humulus lupulus chromatography stereochemistry FSE cytokines cytotoxic activity glutamate angiogenesis traditional medicine Ca2+ L6 cell human colon cancer cell lines siphonous green algae anti-inflammatory activity Phyllanthus chamacristoides spectroscopic analysis Physcomitrella patens Leishmania mexicana mexicana dementia prenylated phenolic compounds T2DM HPLC-ESI-microTOF-Q-MS/MS Eruca sativa Dryopteris fragrans chemosystematics 2? cerebellum Cleistocalyx operculatus inflammation multivariate data analysis Phyllanthus orbicularis HPLC cardiovascular disease Kv7 potassium channels marine peptides proliferation sulfated coumarins Orobanche s.l. phenylpropanoid glycosides Harpagophytum procumbens sesquiterpenoids TRPV1 Fideloside phenylethanoid glycosides Cuba molecular network NMR ketamine aging GLUT4 diabetes oxidative stress Lamiales circular dichroism psychosis antinociceptive immuno-regulation activity terpenoids NADPH oxidases diabetic neuropathy spagyric tincture H2S celastrol isolation and quantification 4?-dihydroxy-6?-methoxy-3? Leea indica C-glycoside neuropathic pain PANC-1 glucosinolates flavonoids bioactivities of natural products cardamonin isoflavones terpenes methicillin-resistant Staphylococcus aureus malaria artemisinin natural products devil's claw ACE inhibitory peptide pPancreatic cancer growth inhibitory activity mass spectrometry flavonoid phenolics Astragalus boeticus L. proanthocyanidins opioid Trifolium Trypanosoma brucei brucei acetylated astragalosides Fabaceae bioactive peptides LC-MS Dasycladus vermicularis Orobanchaceae migration glucoerucin ESI-MS/MS cancer zebrafish antihypertensive Bacopa monnieri chemical derivatization hypertension |
| ISBN | 3-03928-747-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404086803321 |
|
Avato Pinarosa
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Future of Hyperspectral Imaging
| The Future of Hyperspectral Imaging |
| Autore | Selci Stefano |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto non controllato |
information theoretic analysis
multiplexing system HSI for biology point target detection digital elevation model neural networks oxygen saturation black polymers PZT blood detection multivariate analysis integral imaging hemispherical conical reflectance factor (HCRF) sprouting fluorescence multitemporal hyperspectral images plant phenotyping hyperspectral data mining and compression Raman medical imaging by HSI compressive detection stereo imaging image processing wound healing quality control lossless compression infrared hyperspectral imaging spectral tracking time series remote sensing diabetic foot ulcer classification Raman spectroscopy imaging fingerprints fusion wavelength selection Cramer–Rao lower bound three-dimensional imaging chemical imaging CS-MUSI total variation coastal dynamics forward observation model hyperspectral imaging fluorescence hyperspectral imaging age determination potatoes painting samples predictive coding hyperspectral video bi-directional reflectance distribution function (BRDF) optimal binary filters watercolours deep learning spectroscopy moving vehicle imaging sorting maximum likelihood multivariate data analysis interval partial least squares disease detection Raman hyperspectral imaging primordial leaf count machine learning spatial light modulators (SLM) Virginia Coast Reserve Long Term Ecological Research (VCR LTER) digital micromirror device (DMD) hyperspectral microscopy alternating direction method of multipliers statistical methods for HSI multiband image fusion digital light processor (DLP) linear mixture model retouching pigments liquid crystal principal component analysis Chemometrics compressive sensing PLSR Hyperspectral imaging |
| ISBN | 3-03921-823-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367743103321 |
|
Selci Stefano
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Time Series Modelling
| Time Series Modelling |
| Autore | Weiss Christian H |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (372 p.) |
| Soggetto topico | Humanities |
| Soggetto non controllato |
time series
anomaly detection unsupervised learning kernel density estimation missing data multivariate time series nonstationary spectral matrix local field potential electric power forecasting accuracy machine learning extended binomial distribution INAR thinning operator time series of counts unemployment rate SARIMA SETAR Holt–Winters ETS neural network autoregression Romania integer-valued time series bivariate Poisson INGARCH model outliers robust estimation minimum density power divergence estimator CUSUM control chart INAR-type time series statistical process monitoring random survival rate zero-inflation cointegration subspace algorithms VARMA models seasonality finance volatility fluctuation Student’s t-process entropy based particle filter relative entropy count data time series analysis Julia programming language ordinal patterns long-range dependence multivariate data analysis limit theorems integer-valued moving average model counting series dispersion test Bell distribution count time series estimation overdispersion multivariate count data INGACRCH state-space model bank failures transactions periodic autoregression integer-valued threshold models parameter estimation models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557541003321 |
|
Weiss Christian H
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||