Nicht aus der Schweiz? Besuchen Sie lehmanns.de
AI, Data, and Digitalization -

AI, Data, and Digitalization

First International Symposium, SAIDD 2023, Sogndal, Norway, May 9–10, 2023, Revised Selected Papers

Rajendra Akerkar (Herausgeber)

Buch | Softcover
X, 203 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-53769-1 (ISBN)
CHF 59,90 inkl. MwSt
This open access book constitutes the revised selected papers of the First International Symposium on AI, Data and Digitalization, SAIDD 2023, held in Sogndal, Norway, during May 9-10, 2023.

The 13 full papers included in this volume were carefully reviewed and selected from 42 submissions. The papers deal with the impact of data and AI on the digital revolution and their contribution to solving societal challenges.

Geolocation data as a research tool for the organization of the settlement system and mobility mapping - case study of the spatial mobility model in Czechia.- Returning Home Strategy Analysis using Mobile Sensing Data in Tohoku Earthquake.- Terminology Saturation Analysis: Refinements and Applications.- How To Be a Well-Prepared Organizer: Studying the Causal Effects of City Events on Human Mobility.- Human Cognition Modeling for the Metaverse-oriented Design System.- Patient self-reports for explainable machine learning predictions of risks to psychotherapy outcomes.- I-KNOW-FOO: Interlinking and Creating KNOWledge Graphs for near-zero CO2 emission diets and sustainable FOOd production.- Extreme and Sustainable Graph Processing for Green Finance Investment and Trading.- A Comprehensive Framework for Detecting Behavioural Anomalies in the Elderly.- Violence-inducing Behavior Prevention in Social-Cyber Space.- Artificial Intelligence inthe public sector in Norway AI development as a hop-on-hop-off journey.- Challenges in regulating online hate-speech within the Norwegian context.- Digital and AI maturity of enterprises in Sogn og Fjordane, a rural region of Norway.

 

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo X, 203 p. 55 illus., 46 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Weitere Themen Hardware
Schlagworte Artificial Intelligence • Big Data • Causal effects • Data • ethical AI • geolocation data • knowledge graphs • machine learning • Mobile Data • open access • social data
ISBN-10 3-031-53769-6 / 3031537696
ISBN-13 978-3-031-53769-1 / 9783031537691
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
entwickle, drucke und baue deine DIY-Objekte

von Stephan Regele

Buch | Hardcover (2023)
Hanser, Carl (Verlag)
CHF 48,95