1.

Record Nr.

UNINA9910782851003321

Autore

Murray Timothy

Titolo

Digital baroque [[electronic resource] ] : new media art and cinematic folds / / Timothy Murray

Pubbl/distr/stampa

Minneapolis, : University of Minnesota Press, c2008

ISBN

0-8166-6620-2

Descrizione fisica

1 online resource (330 p.)

Collana

Electronic mediations ; ; v. 26

Disciplina

709.22

791.4

Soggetti

Civilization, Baroque

Digital video

Installations (Art)

Video recordings

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. 261-290) and index.

Nota di contenuto

Digital Baroque : Performative Passage from Hatoum to Viola -- Et in Arcadia Video : Poussin' the Image of Culture with Thierry Kuntzel and Louis Marin -- The Crisis of Cinema in the Age of New World-Memory : The Baroque Legacy of Jean-Luc Godard -- You Are How You Read : Baroque Chao-Errancy in Greenaway and Deleuze -- Digitality and the Memory of Cinema : Bearing the Losses of the Digital Code -- Wounds of Repetition in the Age of the Digital: Chris Marker's Cinematic Ghosts --  Philosophical Toys and Kaleidoscopes of the Unfamiliar : The Haunting Voices of Toni Dove and Zoe Beloff -- Digital Incompossibility: Cruising the Aesthetic Haze of New Media -- Psychic Scansion: The Marker of the Digital In-Between -- Time @ Cinema's Future : New Media Art and the Thought of Temporality.

Sommario/riassunto

In this intellectually groundbreaking work, Timothy Murray investigates a paradox embodied in the book's title: What is the relationship between digital, in the form of new media art, and baroque, a highly developed early modern philosophy of art? Making an exquisite and unexpected connection between the old and the new, Digital Baroque analyzes the philosophical paradigms that inform contemporary screen arts. Examining a wide range of art forms, Murray reflects on the



rhetorical, emotive, and social forces inherent in the screen arts' dialogue with early modern concepts. Among the works discu

2.

Record Nr.

UNINA9910787963003321

Autore

Pascual Diego Galar

Titolo

Artificial intelligence tools : decision support systems in condition monitoring and diagnosis / / Diego Galar Pascual

Pubbl/distr/stampa

Boca Raton, Florida : , : CRC Press, , [2015]

©2015

ISBN

1-4987-6019-8

0-429-10232-1

1-4665-8406-8

Descrizione fisica

1 online resource (528 p.)

Disciplina

658.2020285

Soggetti

Industrial equipment - Maintenance and repair - Data processing

Machinery - Monitoring

Artificial intelligence - Industrial applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Massive Field Data Collection: Issues and Challenges; Chapter 2: Condition Monitoring: Available Techniques; Chapter 3: Challenges of Condition Monitoring Using AI Techniques; Chapter 4: Input and Output Data; Chapter 5: Two-Stage Response Surface Approaches to Modeling Drug Interaction; Chapter 6: Nearest Neighbor-Based Techniques; Chapter 7: Cluster-Based Techniques; Chapter 8: Statistical Techniques; Chapter 9: Information Theory-Based Techniques; Chapter 10: Uncertainty Management; Back Cover

Sommario/riassunto

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniquesConsiders



the merits of each technique as well as the issues associated with real-life applicationCovers classification methods, from neural networks to Bayesian and support vector machinesProposes fuzzy logic to explain the uncertainties associated with diagnostic processes