Cognitive Fairness-Aware Techniques for Human-Machine Interface
Taylor & Francis Ltd
ISBN 978-1-03-276709-3
Standardpreis
Bibliografische Daten
Buch. Hardcover
2025
81 s/w-Abbildungen, 10 s/w-Fotos, 71 s/w-Zeichnungen, 27 s/w-Tabelle.
In englischer Sprache
Umfang: 376 S.
Format (B x L): 15.6 x 23.4 cm
Verlag: Taylor & Francis Ltd
ISBN: 978-1-03-276709-3
Produktbeschreibung
• Explains complex issues of Cognitive Fairness Aware Contextual Proactive Federated Protocol collects data and identifies individual emotional issues and resolves them by contextual solitary proactive communication
• Discusses emotional data processing challenges through AI accelerator with federated learning module to generate periodical counselling messages
• Data analysis anomalies are addressed in Graph Data Base Modelling by anomaly prediction and anomaly detection
• Describes anomaly detection techniques in the form of abnormal data records, messages, events, groups, and/or other unexpected observations in graph database modelling
• Outlier detection for data analysis deals with the detection of patterns in Graph Data Base
This book is for researchers, academics, students, AI Practitioners and Developers, Ethics Experts in AI Technology and machine-learning practitioners interested in fairness in human-machine interfaces.
Autorinnen und Autoren
Produktsicherheit
Hersteller
Libri GmbH
Europaallee 1
36244 Bad Hersfeld, DE
gpsr@libri.de