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Hypergraph Computation [[electronic resource] /] / by Qionghai Dai, Yue Gao
Hypergraph Computation [[electronic resource] /] / by Qionghai Dai, Yue Gao
Autore Dai Qionghai
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (xv, 244 pages) : illustrations
Disciplina 006.3
Collana Artificial Intelligence: Foundations, Theory, and Algorithms
Soggetto topico Artificial intelligence
Machine learning
Artificial intelligence—Data processing
Artificial Intelligence
Machine Learning
Data Science
ISBN 9789819901845
9789819901852
981-9901-85-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Mathematical Foundations of Hypergraph -- Chapter 3. Hypergraph Computation Paradigms -- 4. Hypergraph Modeling -- Chapter 5. Typical Hypergraph Computation Tasks -- 6. Hypergraph Structure Evolution -- Chapter 7. Neural Networks on Hypergraph -- Chapter 8. Large Scale Hypergraph Computation -- Chapter 9. Hypergraph Computation for Social Media Analysis -- Chapter 10. Hypergraph Computation for Medical and Biological Applications -- Chapter 11. Hypergraph Computation for Computer Vision -- Chapter 12.The Deep Hypergraph Library -- Chapter 13. Conclusions and Future Work.
Record Nr. UNISA-996547969403316
Dai Qionghai  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Hypergraph Computation / / by Qionghai Dai, Yue Gao
Hypergraph Computation / / by Qionghai Dai, Yue Gao
Autore Dai Qionghai
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (xv, 244 pages) : illustrations
Disciplina 006.3
Collana Artificial Intelligence: Foundations, Theory, and Algorithms
Soggetto topico Artificial intelligence
Machine learning
Artificial intelligence - Data processing
Artificial Intelligence
Machine Learning
Data Science
ISBN 9789819901845
9789819901852
9819901855
Classificazione COM004000COM031000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Mathematical Foundations of Hypergraph -- Chapter 3. Hypergraph Computation Paradigms -- 4. Hypergraph Modeling -- Chapter 5. Typical Hypergraph Computation Tasks -- 6. Hypergraph Structure Evolution -- Chapter 7. Neural Networks on Hypergraph -- Chapter 8. Large Scale Hypergraph Computation -- Chapter 9. Hypergraph Computation for Social Media Analysis -- Chapter 10. Hypergraph Computation for Medical and Biological Applications -- Chapter 11. Hypergraph Computation for Computer Vision -- Chapter 12.The Deep Hypergraph Library -- Chapter 13. Conclusions and Future Work.
Record Nr. UNINA-9910725098703321
Dai Qionghai  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wireless Communications Networks for the Smart Grid / / by Quang-Dung Ho, Yue Gao, Gowdemy Rajalingham, Tho Le-Ngoc
Wireless Communications Networks for the Smart Grid / / by Quang-Dung Ho, Yue Gao, Gowdemy Rajalingham, Tho Le-Ngoc
Autore Ho Quang-Dung
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (120 p.)
Disciplina 004
004.6
005.7
621.382
Collana SpringerBriefs in Computer Science
Soggetto topico Computer networks
Electrical engineering
Computers
Computer Communication Networks
Communications Engineering, Networks
Information Systems and Communication Service
ISBN 3-319-10347-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Smart Grid Communications Network (SGCN) -- Wireless Communications Technologies for the SGCN -- Wireless Routing Protocols for NANs -- Performance and Feasibility of GPSR and RPL in NANs -- SGCN: Further Aspects and Issues.
Record Nr. UNINA-9910298969503321
Ho Quang-Dung  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui