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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 | ||
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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 |
| 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. | 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 | ||
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