top

  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.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Artificial Intelligence and Digital Twin Technology : 1st International Conference, IconAIDTT 2023, Sivakasi, India, April 26-28, 2023, Proceedings
Artificial Intelligence and Digital Twin Technology : 1st International Conference, IconAIDTT 2023, Sivakasi, India, April 26-28, 2023, Proceedings
Autore K Valarmathi
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2025
Descrizione fisica 1 online resource (173 pages)
Altri autori (Persone) ARamathilagam
SeeniSankarganesh
KoseUtku
HungBui Thanh
KottursamyKottilingam
Collana Communications in Computer and Information Science Series
ISBN 9783031777998
3031777999
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910918590803321
K Valarmathi  
Cham : , : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Sciences for Computing and Communications [[electronic resource] ] : First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers / / edited by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose, Annie Uthra
Deep Sciences for Computing and Communications [[electronic resource] ] : First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers / / edited by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose, Annie Uthra
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XIII, 368 p. 223 illus., 161 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Education—Data processing
Social sciences—Data processing
Image processing—Digital techniques
Computer vision
Computer networks
Artificial Intelligence
Computers and Education
Computer Application in Social and Behavioral Sciences
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Communication Networks
ISBN 3-031-27622-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Classification and Regression Problems for Communication Paradigms -- Deep Learning and Vision Computing -- Deep- Recurrent Neural network (RNN) for Industrial informatics -- Extended AI for heterogeneous Edge.
Record Nr. UNISA-996547971703316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Deep Sciences for Computing and Communications : First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers / / edited by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose, Annie Uthra
Deep Sciences for Computing and Communications : First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers / / edited by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose, Annie Uthra
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XIII, 368 p. 223 illus., 161 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Education - Data processing
Social sciences - Data processing
Image processing - Digital techniques
Computer vision
Computer networks
Artificial Intelligence
Computers and Education
Computer Application in Social and Behavioral Sciences
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Communication Networks
Aprenentatge automàtic
Sistemes de telecomunicació
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031276224
3031276221
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Classification and Regression Problems for Communication Paradigms -- Deep Learning and Vision Computing -- Deep- Recurrent Neural network (RNN) for Industrial informatics -- Extended AI for heterogeneous Edge.
Record Nr. UNINA-9910682560403321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui