1.

Record Nr.

UNISALENTO991001876649707536

Autore

Koukoules, Phaidon I.

Titolo

Byzantinon paramythi / Phaidonos I. Koukoule

Pubbl/distr/stampa

Athena : Kentrike polesis bibliopoleion I. N. Sidere, 1927

Descrizione fisica

105 p. ; 19 cm

Collana

Syllogos pros Diadosin Ophelimon Biblion ; 50

Soggetti

Letteratura bizantina

Lingua di pubblicazione

Greco Moderno

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910427720103321

Titolo

Transactions on Computational Collective Intelligence XXXV / / edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik, Anna Motylska-Kuźma

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2020

ISBN

3-662-62245-9

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (IX, 171 p. 26 illus., 12 illus. in color.)

Collana

Transactions on Computational Collective Intelligence, , 2190-9288 ; ; 12330

Disciplina

006.3

Soggetti

Artificial intelligence

Computers

Computer organization

Application software

Computer security

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.



Nota di contenuto

More security or more freedom? A comparative analysis of the equilibrium in European democratic regimes -- Trials of Characterizations of Anti-manipulation Method -- Pairwise Voting Rules in Restricted Domains: The Disappearance and Persistence of Some Monotonicity Paradoxes -- Group Decision Making Based on Constructing a Short List -- A note on equal treatment and symmetry of values -- Decision-driven Model for Building IoT Architecture in Environmental Engineering -- The equity crowdfunding and family firms – a fuzzy linguistic approach -- Some propositions of approaches for measuring indirect control power of firms and mutual connections in corporate shareholding structures -- Some Strategic Decision Problems in Networks -- An IoT Virtual eLearning Space.

Sommario/riassunto

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This thirty-fifth issue contains 10 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users.