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Advanced Materials and Technologies in Nanogenerators
| Advanced Materials and Technologies in Nanogenerators |
| Autore | Wen Zhen |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| Soggetto topico | Energy |
| Soggetto non controllato |
triboelectric nanogenerator (TENG)
sodium chloride powder self-powered sensor low-cost human-machine interaction triboelectric nanogenerator self-powered sensing self-charging power unit remote telemetry and control self-powered triboelectric magnetorheological elastomer magnetic mechanical energy dioxygen activation triboelectric corona plasma O2− reactive species spin conversion coniform Helmholtz resonator acoustic energy harvesting organogel stable pressure sensing nanogenerator technology evolution pathway knowledge graph representation learning multi-source data nanomaterials AR and VR metal halide perovskite rare-earth metal solar cell light-emitting diode photodetector luminescent solar concentrators technology evolutionary path text vectorization theme mining theme river map triboelectric nanogenerators fluid dynamics sensing energy harvesting triboelectricity TENG contact-separation mode corona charging IoT |
| ISBN | 3-0365-5901-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639993603321 |
Wen Zhen
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| 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 electronic resource (274 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
information theory
variational inference machine learning learnability information bottleneck representation learning conspicuous subset stochastic neural networks mutual information neural networks information bottleneck compression classification optimization classifier decision tree ensemble deep neural networks regularization methods information bottleneck principle deep networks semi-supervised classification latent space representation hand crafted priors learnable priors regularization deep learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Information Bottleneck |
| Record Nr. | UNINA-9910557582803321 |
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Geiger Bernhard
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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