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Bio-Based Polymers for Engineered Green Materials
| Bio-Based Polymers for Engineered Green Materials |
| Autore | Schnabel Thomas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (568 p.) |
| Soggetto non controllato |
chitosan
graphene oxide microstructure autoxidation heavy metals polycaprolactone precipitation thermosetting polymers thermal degradation humidity sensor asphalt rubber tung oil nanobiocomposites ionic liquid GC-MS hybrid nonisocyanate polyurethane physicochemical properties alginate sponge Bioflex dimer acid bio-asphalt benzoyl cellulose Peptone transparent wood biocomposite nanoclays storage stability solvent- and catalyst-free microcellulose fiber lignin-containing cellulose nanofibrils polylactic acid (PLA) bio-inspired interfaces polyhydroxyalkanoates strain sensor enzymatic saccharification headspace solid phase microextraction PHBV electrical resistance melt condensation cement solution casting orange waste hybrid composites biopolymers TEMPO oxidation pollutant adsorbents Escherichia coli bio-nanocomposites TiO2 anatase metal binding liquid natural rubber hydrotropic treatment metal chloride feast-famine biomass resources wood electroless deposition one-pot synthesis thermoplastic starch films lignin-carbohydrate complex cellulose corn starch microencapsulated phase change material (MPCM) differential scanning calorimetry compatibility natural fibers workability silkworm cocoons lignin content polylactic acid porous structure electrospinning nanocellulose fibers H2O2 bleaching treatment polysaccharides mixing sequence porosity lignocellulosic nanofibrils dense structure alkali lignin polydopamine coating nuclear magnetic resonance cationic dyes poly(lactic acid) and composite films endothermic effect HSQC-NMR Microbial nutrient toughening X-ray diffraction water resistance waste biomass lignin UV light ultrafiltration two-step lyophilization mechanical degradation bio-based methylene blue stearoyl cellulose ONP fibers anionic surfactants Hatscheck process osteoblast proliferation resource recovery dissolution copper coating bacterial cellulose hydrogel iron chelation knotwood sensitivity mixed microbial cultures dimensional stability volatiles lignocellulose Artemisia vulgaris surface modification PHA crosslinked microparticles pyrene composites galactoglucomannan polymeric composites kaempferol tannin-furanic foam Solanyl wastewater treatments adsorption capacity heat treatment thermal gravimetric analysis WAXS unsaturated polyester resins pulp fibers free-radical polymerization larixol delignification antifouling chemical composition hemicellulose tissue engineering extrusion-compounding membrane photodegradation structural plastics scanning electron microscope phenanthrene thermal properties immobilized TEMPO Staphylococcus aureus adsorption wood modification structure-property relationship physical property film mechanical properties tannin Bio-based foams latex state paper-based scaffolds skincare pyrolysis mechanism emulsion-solvent evaporation method bioplastics imidazolium fractionation cost fiber-cement lyocell fiber recycling kenaf fiber thermal stability transport properties SAXS silanization cellulose nanofibers taxifolin tannin polymer vibrational spectroscopy robust fiber network nanocelluloses poly(lactic acid) Anti-bacterial silver nanoparticle cellulose nanocrystals |
| ISBN | 3-03928-926-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404081003321 |
Schnabel Thomas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto non controllato |
faster region-based CNN
visual tracking intelligent tire manufacturing eye-tracking device neural networks A* information measure oral evaluation GSA-BP tire quality assessment humidity sensor rigid body kinematics intelligent surveillance residual networks imaging confocal microscope update mechanism multiple linear regression geometric errors correction data partition Imaging Confocal Microscope image inpainting lateral stage errors dot grid target K-means clustering unsupervised learning recommender system underground mines digital shearography optimization techniques saliency information gated recurrent unit multivariate time series forecasting multivariate temporal convolutional network foreign object data fusion update occasion generative adversarial network CNN compressed sensing background model image compression supervised learning geometric errors UAV nonlinear optimization reinforcement learning convolutional network neuro-fuzzy systems deep learning image restoration neural audio caption hyperspectral image classification neighborhood noise reduction GA MCM uncertainty evaluation binary classification content reconstruction kinematic modelling long short-term memory transfer learning network layer contribution instance segmentation smart grid unmanned aerial vehicle forecasting trajectory planning discrete wavelet transform machine learning computational intelligence tire bubble defects offshore wind multiple constraints human computer interaction Least Squares method |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Humidity Sensors. Advances in Reliability, Calibration and Application
| Humidity Sensors. Advances in Reliability, Calibration and Application |
| Autore | Cascioli Vincenzo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (198 p.) |
| Soggetto non controllato |
emissivity
transient response Trace moisture user interaction IDE SHT75 random shocks humidity sensor calibration points measurement uncertainty humidity porous materials building materials Monte Carlo method relative humidity capacitive sensors reliability model microwave resonator remote sensing body-seat interface low pressure moisture low temperature bio fuel three-dimensional graphene foams moisture measurement dual temperature-humidity sensor humidity sensors FD consumer grade weather stations CO2 fast response frequency domain dependent competing failure dielectric constant time domain reflectometry agriculture saturated salt solutions winter fire risk Mars in-situ measurements experimental simulation chambers paper mill capacitive sitting rate infrared radiant source calibration capacitive humidity sensors self-recovery carbon dioxide TDR ball SAW sensor Martian atmosphere surface acoustic wave permeation tube thermal impact SIDE surface soil water content PI |
| ISBN | 3-03921-123-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346660603321 |
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Cascioli Vincenzo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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