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.
Cultural Heritage Storytelling, Engagement and Management in the Era of Big Data and the Semantic Web
| Cultural Heritage Storytelling, Engagement and Management in the Era of Big Data and the Semantic Web |
| Autore | Dimoulas Charalampos |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (241 p.) |
| Soggetto topico |
Films, cinema
Television |
| Soggetto non controllato |
3D content
3D modeling 3D reconstruction audience engagement audiovisual heritage authoring tools BERT big data biocultural heritage content crowdsourcing cultural heritage data center data-driven storytelling deep neural networks digital marketing digital narrative digital storytelling distant supervision eco-friendly energy transition environmental communication event detection evolution analytics Évora Greek literature Greek NLP green culture green hosting green websites heritage communication heritage management IEEE 830 standard intangible heritage interactive documentary journalism Katharevousa literary fiction marine heritage marine protected areas of outstanding universal value media users' engagement metadata extraction multimedia tools n/a news POCITYF relation extraction requirements engineering semantic analysis semantic audio semantic indexing smart cities social media software sustainability soundscapes spectral clustering static analysis sustainability text classification TextRank Transformers UNESCO |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613403321 |
Dimoulas Charalampos
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Networks and Deep Learning : A Textbook / Charu C. Aggarwal
| Neural Networks and Deep Learning : A Textbook / Charu C. Aggarwal |
| Autore | Aggarwal, Charu C. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxiv, 529 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] |
| Soggetto non controllato |
Adversarial learning
Artificial Intelligence Deep Learning Image Convolutional Networks Machine learning Neural networks Pre-Trained Language Models Recurrent Neural Networks Reinforcement Learning Transformers Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00278913 |
|
Aggarwal, Charu C.
|
||
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||