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Autore: | Wang Wei |
Titolo: | Intelligent Computing for Big Data |
Pubblicazione: | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica: | 1 electronic resource (100 p.) |
Soggetto topico: | Information technology industries |
Computer science | |
Soggetto non controllato: | multimodal data |
behavior recognition | |
dog detection | |
fusion model | |
deep learning | |
older people | |
long-term care | |
artificial intelligence | |
blockchain technology | |
decentralized architecture | |
autism spectrum disorder (ASD) | |
big data | |
bioinformatics | |
machine learning | |
classification | |
bio-inspired algorithms | |
Grey Wolf Optimization (GWO) | |
Support Vector Machine (SVM) | |
convolution neural network | |
spatio-temporal document | |
document classification | |
big text data | |
proxy re-encryption | |
blockchain | |
storage | |
proof-of-replication | |
Persona (resp. second.): | ManKa Lok |
WangWei | |
Sommario/riassunto: | Recent advances in artificial intelligence have the potential to further develop current big data research. The Special Issue on ‘Intelligent Computing for Big Data’ highlighted a number of recent studies related to the use of intelligent computing techniques in the processing of big data for text mining, autism diagnosis, behaviour recognition, and blockchain-based storage. |
Titolo autorizzato: | Intelligent Computing for Big Data |
ISBN: | 3-0365-5878-0 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910637792303321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |