Biofuels Production and Processing Technology
| Biofuels Production and Processing Technology |
| Autore | Tropea Alessia |
| Descrizione fisica | 1 online resource (250 p.) |
| Soggetto topico |
Biotechnology
Technology: general issues |
| Soggetto non controllato |
agroforest and industrial waste feedstock valorization
B. ceiba biochar biodiesel bioelectrochemical system (BES) bioenergy bioethanol bioethanol production biofuel biofuel production technologies biofuels biogas biomass biomethane biorefinery bottleneck carbon dioxide sequestration carbonization cell wall sugar central composite design circular economy co-production compost leachate corn downstream processing downstream processing (DSP) economics electro-fermentation electroactive microorganisms electromagnetic stirring empty fruit bunches energy enzyme-assisted ethanol extracellular electron transfer (EET) extraction fermentation food waste gasification gasohol gene manipulation microbial biocatalyst microorganisms for biofuel model modeling molecular sieve multi-objective optimization non-fossil fuel pineapple waste pore property pressurized anaerobic digestion pretreatment promotion policy protein regulatory measure response surface methodology rotary shaking saccharification Saccharomyces cerevisiae second-generation biofuel simultaneous saccharification and fermentation single cell protein soapberry pericarp soybean spent sugar beet pulp surface chemistry sustainability syngas fermentation synthesis gas fermentation trend analysis Tween 80® surfactant volumetric mass transfer coefficient water removal |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595067503321 |
Tropea Alessia
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| Lo trovi qui: Univ. Federico II | ||
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Information Bottleneck : Theory and Applications in Deep Learning
| Information Bottleneck : Theory and Applications in Deep Learning |
| Autore | Geiger Bernhard |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (274 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
bottleneck
classification classifier compression conspicuous subset decision tree deep learning deep networks deep neural networks ensemble hand crafted priors information information bottleneck information bottleneck principle information theory latent space representation learnability learnable priors machine learning mutual information neural networks optimization regularization regularization methods representation learning semi-supervised classification stochastic neural networks variational inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Information Bottleneck |
| Record Nr. | UNINA-9910557582803321 |
Geiger Bernhard
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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