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| Titolo: |
Computing Algorithms with Applications in Engineering : Proceedings of ICCAEEE 2019 / / edited by V. K. Giri, Nishchal K. Verma, R. K. Patel, V. P. Singh
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| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (461 pages) |
| Disciplina: | 621.3 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Electric power production | |
| Renewable energy sources | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Electrical Power Engineering | |
| Renewable Energy | |
| Persona (resp. second.): | GiriV. K |
| VermaNishchal K | |
| PatelR. K. | |
| SinghV. P. | |
| Sommario/riassunto: | This book collects high-quality research papers presented at the International Conference on Computing Applications in Electrical & Electronics Engineering, held at Rajkiya Engineering College, Sonbhadra, India, on August 30–31, 2019. It provides novel contributions in computational intelligence, together with valuable reference material for future research. The topics covered include: big data analytics, IoT and smart infrastructures, machine learning, artificial intelligence and deep learning, crowd sourcing and social intelligence, natural language processing, business intelligence, high-performance computing, wireless, mobile and green communications, ad-hoc, sensor and mesh networks, SDN and network virtualization, cognitive systems, swarm intelligence, human–computer interaction, network and information security, intelligent control, soft computing, networked control systems, renewable energy sources and technologies, biomedical signal processing, pattern recognition and object tracking, and sensor devices and applications. |
| Titolo autorizzato: | Computing Algorithms with Applications in Engineering ![]() |
| ISBN: | 981-15-2369-X |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483002703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |