explainable intelligence digital twins (8 résultats)

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents selected papers from the International Conference on Explainable Intelligence in Digital Twins (EIDT 2025) held during November 12 14, at Ho Chi Minh City, Vietnam. The integration of explainable intelligence in digital twins offers significant advantages, enhancing transparency, trust, and informed decision-making across various industries, including manufacturing, healthcare, transportation, and smart cities. By combining real-time data with AI-driven analytics, digital twins enable predictive maintenance, process optimization, transparent communication, and system automation. While these technologies have immense potential to revolutionize digital ecosystems, they also pose significant challenges, such as bias in AI models, scalability of explainable methods, and trade-offs between performance and interpretability. To address these critical issues, the International Conference on Explainable Intelligence in Digital Twins (EIDT) was established as a dedicated platform for research scholars and engineers to discuss, innovate, and collaborate on advancing transparent, interpretable, and trustworthy AI-driven digital twins. EIDT fosters cutting-edge research and real-world applications that drive the next generation of explainable intelligence in digital twin networks and systems.

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents selected papers from the International Conference on Explainable Intelligence in Digital Twins (EIDT 2025) held during November 12 14, at Ho Chi Minh City, Vietnam. The integration of explainable intelligence in digital twins offers significant advantages, enhancing transparency, trust, and informed decision-making across various industries, including manufacturing, healthcare, transportation, and smart cities. By combining real-time data with AI-driven analytics, digital twins enable predictive maintenance, process optimization, transparent communication, and system automation. While these technologies have immense potential to revolutionize digital ecosystems, they also pose significant challenges, such as bias in AI models, scalability of explainable methods, and trade-offs between performance and interpretability. To address these critical issues, the International Conference on Explainable Intelligence in Digital Twins (EIDT) was established as a dedicated platform for research scholars and engineers to discuss, innovate, and collaborate on advancing transparent, interpretable, and trustworthy AI-driven digital twins. EIDT fosters cutting-edge research and real-world applications that drive the next generation of explainable intelligence in digital twin networks and systems. 517 pp. Englisch.

Buch. Etat : Neu. Explainable Intelligence in Digital Twins | Proceedings of EIDT, Ho Chi Minh City, Vietnam, November 12-14, 2025 | Nhu-Ngoc Dao (u. a.) | Buch | Lecture Notes in Electrical Engineering | xv | Englisch | 2026 | Springer | EAN 9789819561100 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents selected papers from the International Conference on Explainable Intelligence in Digital Twins (EIDT 2025) held during November 1214, at Ho Chi Minh City, Vietnam. The integration of explainable intelligence in digital twins offers significant advantages, enhancing transparency, trust, and informed decision-making across various industries, including manufacturing, healthcare, transportation, and smart cities. By combining real-time data with AI-driven analytics, digital twins enable predictive maintenance, process optimization, transparent communication, and system automation. While these technologies have immense potential to revolutionize digital ecosystems, they also pose significant challenges, such as bias in AI models, scalability of explainable methods, and trade-offs between performance and interpretability. To address these critical issues, the International Conference on Explainable Intelligence in Digital Twins (EIDT) was established as a dedicated platform for research scholars and engineers to discuss, innovate, and collaborate on advancing transparent, interpretable, and trustworthy AI-driven digital twins. EIDT fosters cutting-edge research and real-world applications that drive the next generation of explainable intelligence in digital twin networks and systems.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 536 pp. Englisch.

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