Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems
| JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems |
| Autore | Villalba-Diez Javier |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (188 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
healthy operator 4.0
human–cyber–physical system industrial internet of things industry 4.0 smart workplaces EEG sensors manufacturing systems shopfloor management machine learning deep learning reference architecture model interoperability digital twin distributed ledger technology GDPR RAMI 4.0 LASFA quantum computing strategic organizational design Industry 4.0 complex networks cyber-physical systems lean management systems quantum strategic organizational design quantum circuits quantum simulation JIDOKA Operator 4.0 process variability integration explaining variability quantum approximate optimization algorithm value–stream networks optimization maintenance interval maintenance model semi-Markov process right-censored data finite horizon maintenance cost Cyber-Physical Systems Lean Manufacturing Directed Acyclic Graphs scikit-learn pipegraph machine learning models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566484003321 |
Villalba-Diez Javier
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sense and Respond : Industrial Applications of Smart Sensors in Cyber-Physical Systems
| Sense and Respond : Industrial Applications of Smart Sensors in Cyber-Physical Systems |
| Autore | Villalba-Diez Javier |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (168 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
EEG sensors
manufacturing systems problem-solving deep learning TDOA sensor networks hyperboloids node distribution genetic algorithms asynchronous Cramér–Rao lower bound heteroscedasticity soft sensors industrial optical quality inspection artificial vision long-term monitoring benefits indoor air quality low cost occupational safety and health industry 4.0 IOTA tangle Industry 4.0 IIoT geometric deep learning lean management cramer rao lower bound localization LPS multi-objective optimization sensor failure wireless sensor networks conceptual framework sensors approaches tools data application project engineering LCA SDG 9 SDG 11 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sense and Respond |
| Record Nr. | UNINA-9910566485903321 |
|
Villalba-Diez Javier
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||