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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
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Selci Stefano
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Value of Mineralogical Monitoring for the Mining and Minerals Industry In memory of Prof. Dr. Herbert Pöllmann
| Value of Mineralogical Monitoring for the Mining and Minerals Industry In memory of Prof. Dr. Herbert Pöllmann |
| Autore | Pöllmann Herbert |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (164 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Mining technology & engineering |
| Soggetto non controllato |
barite
mineralogy industrial application beneficiation specific gravity bauxite overburden Belterra Clay mineralogical quantification Rietveld analysis machine learning artificial intelligence mining mineralogical analysis bauxite available alumina reactive silica XRD PLSR lithium quantification clustering Rietveld cluster analysis spodumene petalite lepidolite triphylite zinnwaldite amblygonite chalcopyrite ore blending copper flotation nickel laterite ore sorting framboidal pyrite sulfide minerals flotation process mineralogy heavy minerals ilmenite titania slag rietveld Magneli phases |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595070703321 |
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Pöllmann Herbert
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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