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 | ||
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Advances in Food Analysis |
Autore | Gentili Alessandra |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (488 p.) |
Soggetto non controllato |
high resolution mass spectrometry
multiple reaction monitoring (MRM) PAT detection ?13C-IRMS thiamphenicol phospholipids HRMS chemometrics Box–Behnken design ultra-fast liquid chromatography (UFLC)–TripleTOF MS review chiral stationary phases blends validation microwave-assisted hydrodistillation carbohydrates antioxidant chiral quality control fruit juice modified electrode extraction techniques food composition nitrite detection HPLC fingerprint milk hops extracts real-time quantitative PCR apple juice Q-Orbitrap myrtle phylogeny fermentation aptamers antibiotics flavor profile carotenoids polyelectrolyte composite film hydrodistillation food quality amino acids bottle aging flavokavains qualitative and quantitative PCR high-throughput sequencing technology mass fragmentation fruit jams ASE walnut varieties anti-inflammatory Pol gene systematic evolution of ligands by exponential enrichment enantiomers agro-biodiversity florfenicol cuprous oxide nanoparticles geographical origin HPLC sunset yellow poultry eggs adulteration dimerization Lactarius deliciosus Scenedesmus HPLC–QTOF–MS/MS ultrasound-assisted extraction food UPLC-FLD hard clams NMR confirmatory method cyclic voltammetry 1H-NMR molecular identification bioactive compounds immature honey chemical composition differential pulse voltammetry kavalactones Polygonatum cyrtonema oligosaccharides Chia seed oil kiwifruit (Actinidia chinensis) biogenic amines supercritical fluid extraction rosé wines spectrum-effect relationship DNA barcode saccharides bifunctional polymer arms single-laboratory validation lipid-lowering effect microalgae essential oil polarity food process control food authentication Meretrix lyrata anthocyanins molecular species of phospholipid microwave-assisted extraction principal component analysis (PCA) fat-soluble vitamins Croatian wines mass spectra 1H NMR carbamates Marynka strain IMS Myrtus communis L. clenbuterol mycotoxin closures Piper methysticum (kava) liquid chromatography mass spectrometry florfenicol amine polyunsaturated fatty acid white wines second-derivative linear sweep voltammetry gold nanoparticles biosensor chemometric analysis multi-physicochemical parameters antihyperglycemic antioxidants phenolic compounds enhanced product ion (EPI) steaming fatty acids composition reduced graphene oxide Tricholoma matsutake PLS phenolic acids Sojae semen praeparatum (SSP) muscle Myrtus communis pesticide residues quercetin collagen peptide conversion DNA extraction fatty acids isomerization lipid classes natural mature honey milk powder fructose molecular weight UHPLC-UV food adulteration metabolites food safety acidity food security impedimetric aptasensor ?-blockers screen-printed interface |
ISBN | 3-03921-743-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367746703321 |
Gentili Alessandra | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
Biomarkers and Clinical Indicators in Motor Neuron Disease |
Autore | Pradat Pierre-Francois |
Pubbl/distr/stampa | Frontiers Media SA, 2020 |
Descrizione fisica | 1 electronic resource (393 p.) |
Soggetto topico |
Medicine
Neurology & clinical neurophysiology |
Soggetto non controllato |
ALS
MND PLS SMA SBMA PPS PMA biomarker |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557515303321 |
Pradat Pierre-Francois | ||
Frontiers Media SA, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Remote Sensing of Agriculture and Vegetation |
Autore | Pascucci Simone |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (266 p.) |
Soggetto topico |
Research & information: general
Environmental economics |
Soggetto non controllato |
hyperspectral LiDAR
Red Edge AOTF vegetation parameters leaf chlorophyll content DLARI MDATT adaxial abaxial spectral reflectance peanut field spectroscopy hyperspectral heavy metals grapevine PLS SVM MLR multi-angle observation hyperspectral remote sensing BRDF vegetation classification object-oriented segmentation spectroscopy artificial intelligence proximal sensing data precision agriculture spectra vegetation plant classification discrimination feature selection waveband selection support vector machine random forest Natura 2000 invasive species expansive species biodiversity proximal sensor macronutrient micronutrient remote sensing hyperspectral imaging platforms and sensors analytical methods crop properties soil characteristics classification of agricultural features canopy spectra chlorophyll content continuous wavelet transform (CWT) correlation coefficient partial least square regression (PLSR) reproducibility replicability partial least squares Ethiopia Eragrostis tef hyperspectral remote sensing for soil and crops in agriculture hyperspectral imaging for vegetation plant traits high-resolution spectroscopy for agricultural soils and vegetation hyperspectral databases for agricultural soils and vegetation hyperspectral data as input for modelling soil, crop, and vegetation product validation new hyperspectral technologies future hyperspectral missions |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557691803321 |
Pascucci Simone | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Metabolomics Data Processing and Data Analysis—Current Best Practices |
Autore | Hanhineva Kati |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
metabolic networks
mass spectral libraries metabolite annotation metabolomics data mapping nontarget analysis liquid chromatography mass spectrometry compound identification tandem mass spectral library forensics wastewater gut microbiome meta-omics metagenomics metabolomics metabolic reconstructions genome-scale metabolic modeling constraint-based modeling flux balance host–microbiome metabolism global metabolomics LC-MS spectra processing pathway analysis enrichment analysis mass spectrometry liquid chromatography MS spectral prediction metabolite identification structure-based chemical classification rule-based fragmentation combinatorial fragmentation time series PLS NPLS variable selection bootstrapped-VIP data repository computational metabolomics reanalysis lipidomics data processing triplot multivariate risk modeling environmental factors disease risk chemical classification in silico workflows metabolome mining molecular families networking substructures mass spectrometry imaging metabolomics imaging biostatistics ion selection algorithms liquid chromatography high-resolution mass spectrometry data-independent acquisition all ion fragmentation targeted analysis untargeted analysis R programming full-scan MS/MS processing R-MetaboList 2 liquid chromatography–mass spectrometry (LC/MS) fragmentation (MS/MS) data-dependent acquisition (DDA) simulator in silico untargeted metabolomics liquid chromatography–mass spectrometry (LC-MS) experimental design sample preparation univariate and multivariate statistics metabolic pathway and network analysis LC–MS metabolic profiling computational statistical unsupervised learning supervised learning |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557354403321 |
Hanhineva Kati | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Progress in Analytical Methods for the Characterization, Quality and Safety of the Beehive Products |
Autore | Sanna Gavino |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (240 p.) |
Soggetto topico |
Research & information: general
Chemistry Analytical chemistry |
Soggetto non controllato |
propolis
poplar HPLC–Q-Exactive-Orbitrap®–MS analysis phenolic glycerides essential and non-essential nutrients nucleosides honey composition uridine neuropharmacological activities filtered honey botanical origin fluorescence spectrometry antioxidant activity spectrum–effect relationships cluster analysis principal component analysis multiple linear regression analysis sample preparation trace element toxic element spectroanalytical technique biomonitoring bee pollen ascorbic acid total ascorbic acids dehydroascorbic acid HILIC honey discrimination strawberry-tree thistle eucalyptus asphodel attenuated total reflectance Fourier transform infrared spectroscopy bee products multielemental analysis ICP-MS ICP-OES inorganic contaminants heavy metals honey quality standards protein amylase acid phosphatase native PAGE royal jelly proteins ProteoMinerTM MALDI-TOF-MS proteomics beehive product unedone bitter taste strawberry tree honey LC-ESI/LTQ-Orbitrap-MS PCA PLS aroma composition sugar content QDA profile HMF furanic aldehydes furanic acids homogentisic acid cyclic voltammetry square wave voltammetry RP-HPLC bees beehive products cold vapor atomic fluorescence spectrometry toxic metal trace elements toxic elements geographical origin strawberry tree |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576885803321 |
Sanna Gavino | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Rapid Methods for Assessing Food Safety and Quality |
Autore | Schirone Maria |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (118 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Food & society |
Soggetto non controllato |
honey
water activity moisture content regression categorical testing QuEChERS dispersive liquid–liquid microextraction sulfuric acid treatment gas chromatography tandem mass spectrometry priority substances fish samples Trichinella spp slaughterhouse accreditation proficiency testing PAH content Hercegovačka pečenica traditional smoking industrial smoking Listeria monocytogenes outbreak molecular methods real-time PCR screening Anisakis spp LAMP validation anisakidae family NIR PLS PCA correlogram sensory analysis gold nanoparticles histamine UV-visible and fluorescence visual detection spoilage marker safety assay pollutants polyciclic aromatic hydrocarbons Trichinella Anisakis nanoparticles |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557688003321 |
Schirone Maria | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sensors in Agriculture . Volume 1 |
Autore | Moshou Dimitrios |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (346 p.) |
Soggetto non controllato |
optical sensor
spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor |
ISBN | 3-03897-413-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346859003321 |
Moshou Dimitrios | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sensors in Agriculture . Volume 2 |
Autore | Moshou Dimitrios |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (354 p.) |
Soggetto non controllato |
optical sensor
spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor |
ISBN | 3-03897-745-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346858903321 |
Moshou Dimitrios | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|