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Distributed computing and artificial...

Distributed Computing and Artificial Intelligence (Conference) (2023))

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Distributed computing and artificial intelligence, 20th International Conference

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Distributed computing and artificial intelligence, 20th International Conference/ edited by Sascha Ossowski ... [et al.].
其他作者:	Ossowski, Sascha.
團體作者:	Distributed Computing and Artificial Intelligence (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xviii, 370 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Time-Series Modeling for Intrusion Detection Systems -- Estimation of occlusion region using image completion by network model consisting of Transformer and U-Net -- Operation of a Genetic Algorithm Using an Adjustment Function -- CUBA: An Evolutionary Consortium Oriented Distributed Ledger Byzantine Consensus Algorithm -- From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities -- Adaptive Learning from Peers for Distributed Actor-Critic Algorithms -- Detection of infostealer variants through graph neural networks.
Contained By:	Springer Nature eBook
標題:	Electronic data processing - Congresses. - Distributed processing -
電子資源:	https://doi.org/10.1007/978-3-031-38333-5
ISBN:	9783031383335

Distributed computing and artificial intelligence, 20th International Conference
Distributed computing and artificial intelligence, 20th International Conference[electronic resource] /edited by Sascha Ossowski ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xviii, 370 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,7402367-3389 ;. - Lecture notes in networks and systems ;740..

Time-Series Modeling for Intrusion Detection Systems -- Estimation of occlusion region using image completion by network model consisting of Transformer and U-Net -- Operation of a Genetic Algorithm Using an Adjustment Function -- CUBA: An Evolutionary Consortium Oriented Distributed Ledger Byzantine Consensus Algorithm -- From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities -- Adaptive Learning from Peers for Distributed Actor-Critic Algorithms -- Detection of infostealer variants through graph neural networks.

The present book brings together experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. DCAI 2023 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year's technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 108 papers were submitted, by authors from 31 different countries representing a truly "wide area network" of research activity. The DCAI 23 technical program has selected 36 full papers in the main track and, as in past editions, there will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal) The authors like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA), and the sponsors (AIR Institute)

ISBN: 9783031383335

Standard No.: 10.1007/978-3-031-38333-5doiSubjects--Topical Terms:

622708
Electronic data processing
--Distributed processing--Congresses.

LC Class. No.: QA76.9.D5

Dewey Class. No.: 004.36

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