Il pugnale votivo di Gabriele D'Annunzio : orazioni e messaggi fiumani, 1921-1931 / Giancarlo Lancellotti

• Record Nr.: UNISA990001498540203316
• Autore: LANCELLOTTI, Giancarlo
• Pubbl/distr/stampa: Trieste : Hammerle, copyr. 2003
• ISBN: 88-87678-29-4
• Descrizione fisica: 152 p. ; 24 cm
• Collana: Lettere da Miramare ; 1
• Disciplina: 851.912
• Soggetti: D'Annunzio, Gabriele Rapporti con gli editori 1921-1931
• Collocazione: VI.3.A. 1827 (V A 1476)
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Data di pubblicazione in cop.: 2002; Segue: Il pugnale votivo, di Gabriele D'Annunzio

Logics in AI : European workshop JELIA'92 : Berlin, Germany, September 1992 : proceedings / D. Pearce ... [et al.] (eds.)

• Record Nr.: UNISA990000202010203316
• Autore: European workshop JELIA' 92 : 1992
• Pubbl/distr/stampa: Berlin [etc.], : Springer-Verlag, copyr. 1992
• ISBN: 3-540-55887-X
• Descrizione fisica: VIII, 409 p. : ill. ; 25 cm
• Collana: Lecture notes in artificial intelligence ; 633
• Disciplina: 006.3
• Soggetti: Congressi - Berlino - 1992; Intelligenza artificiale - Congressi - 1992
• Collocazione: 006.3 LNAI (633)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications

• Record Nr.: UNINA9911006720403321
• Autore: Masaracchia Antonino
• Pubbl/distr/stampa: Stevenage : , : Institution of Engineering & Technology, , 2024; ©2025
• ISBN: 1-83724-384-0; 1-83953-642-X
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (270 pages)
• Collana: Telecommunications Series
• Altri autori (Persone): NguyenKhoi Khac; DuongTrung Q; SharmaVishal
• Disciplina: 621.38456
• Soggetti: 6G mobile communication systems; Artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Contents -- Preface -- About the authors -- Part I. Introduction to machine learning and neural networks -- 1. Artificial intelligence, machine learning, and deep learning -- 2. Deep neural networks -- Part II. Deep reinforcement learning -- 3. Markov decision process -- 4. Value function approximation for continuous state-action space -- 5. Policy search methods for reinforcement learning -- 6. Actor-critic learning -- Part III. Deep reinforcement learning in UAV-assisted 6G communication -- 7. UAV-assisted 6G communications -- 8. Distributed deep deterministic policy gradient for power allocation control in UAV-to-UAV-based communications -- 9. Non-cooperative energy-efficient power allocation game in UAV-to-UAV communication: a multi-agent deep reinforcement learning approach -- 10. Real-time energy harvesting-aided scheduling in UAV-assisted D2D networks -- 11. 3D trajectory design and data collection in UAV-assisted networks -- Part IV. Deep reinforcement learning in reconfigurable intelligent surface-empowered 6G communications -- 12. RIS-assisted 6G communications -- 13. Real-time optimisation in RIS-assisted D2D communications -- 14. RIS-assisted UAV communications for IoT with ; wireless power transfer using deep reinforcement learning -- 15. Multi-agent learning in networks supported by RIS and multi-UAVs -- Index
• Sommario/riassunto: This co-authored book explores the many challenges arising from real-time and autonomous decision-making for 6G by covering crucial advanced signal control and real-time decision-making methods for UAV- and RIS-assisted 6G wireless communications including the serious constraints in real-time optimisation problems.