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.
Data driven approach towards disruptive technologies : proceedings of MIDAS 2020 / / T. P. Singh [and four others] editors
| Data driven approach towards disruptive technologies : proceedings of MIDAS 2020 / / T. P. Singh [and four others] editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (586 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Autonomic, Data-driven and Industrial Computing |
| Soggetto topico |
Artificial intelligence
Artificial intelligence - Mathematics Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-15-9873-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484814703321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Deep Learning Technologies for the Sustainable Development Goals [[electronic resource] ] : Issues and Solutions in the Post-COVID Era / / edited by Virender Kadyan, T. P. Singh, Chidiebere Ugwu
| Deep Learning Technologies for the Sustainable Development Goals [[electronic resource] ] : Issues and Solutions in the Post-COVID Era / / edited by Virender Kadyan, T. P. Singh, Chidiebere Ugwu |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (254 pages) |
| Disciplina | 006.31 |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Computational intelligence
Blockchains (Databases) Sustainability Quantitative research Artificial intelligence Internet of things Computational Intelligence Blockchain Data Analysis and Big Data Artificial Intelligence Internet of Things |
| ISBN | 981-19-5723-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | How Deep Learning can help in Regulating the Subscription Economy to Ensure Sustainable Consumption and Production Patterns (12th goal of SDGs) -- Deep Technologies using Big Data in: Energy and Waste Management -- QoS aware service provisioning and resource distribution in 4G/5G heterogeneous networks -- Leveraging Fog Computing for Healthcare -- Intelligent self-tuning control design for wastewater treatment plant based on PID and Model Predictive methods -- Impact of Deep learning models for technology sustainability in tourism using Big data analytics -- Study of UAV Management Using Cloud Based Systems -- Contemporary Role of Blockchain in Industry 4.0 -- SDGs Laid Down by UN 2030 Document -- Healthcare 4P: Systematic Review of Applications of Decentralized Trust using Blockchain Technology -- Implementation of An IOT Based Water And Disaster Management System By Using Hybrid Classification Approach -- Knowledge Representation to Expound Deep -- Learning Black Box -- Ann : Concept And Application In Brain Tumor Segmentation -- Automation Of Brain Tumor Segmentation Using Deep Learning -- Transportation Management using IoT Deep Learning to Predict various Traffic States. |
| Record Nr. | UNISA-996546845303316 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Deep Learning Technologies for the Sustainable Development Goals : Issues and Solutions in the Post-COVID Era / / edited by Virender Kadyan, T. P. Singh, Chidiebere Ugwu
| Deep Learning Technologies for the Sustainable Development Goals : Issues and Solutions in the Post-COVID Era / / edited by Virender Kadyan, T. P. Singh, Chidiebere Ugwu |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (254 pages) |
| Disciplina | 006.31 |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Computational intelligence
Blockchains (Databases) Sustainability Quantitative research Artificial intelligence Internet of things Computational Intelligence Blockchain Data Analysis and Big Data Artificial Intelligence Internet of Things Aprenentatge automàtic Intel·ligència artificial Desenvolupament sostenible Intel·ligència computacional Dades massives Internet de les coses |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811957239
9811957231 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | How Deep Learning can help in Regulating the Subscription Economy to Ensure Sustainable Consumption and Production Patterns (12th goal of SDGs) -- Deep Technologies using Big Data in: Energy and Waste Management -- QoS aware service provisioning and resource distribution in 4G/5G heterogeneous networks -- Leveraging Fog Computing for Healthcare -- Intelligent self-tuning control design for wastewater treatment plant based on PID and Model Predictive methods -- Impact of Deep learning models for technology sustainability in tourism using Big data analytics -- Study of UAV Management Using Cloud Based Systems -- Contemporary Role of Blockchain in Industry 4.0 -- SDGs Laid Down by UN 2030 Document -- Healthcare 4P: Systematic Review of Applications of Decentralized Trust using Blockchain Technology -- Implementation of An IOT Based Water And Disaster Management System By Using Hybrid Classification Approach -- Knowledge Representation to Expound Deep -- Learning Black Box -- Ann : Concept And Application In Brain Tumor Segmentation -- Automation Of Brain Tumor Segmentation Using Deep Learning -- Transportation Management using IoT Deep Learning to Predict various Traffic States. |
| Record Nr. | UNINA-9910647778103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geo-intelligence for sustainable development / / T.P. Singh, Dharmaveer Singh, R.B. Singh, editors
| Geo-intelligence for sustainable development / / T.P. Singh, Dharmaveer Singh, R.B. Singh, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina | 338.9270285 |
| Collana | Advances in geographical and environmental sciences |
| Soggetto topico | Sustainable development - Data processing |
| ISBN | 981-16-4768-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502975903321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||