Buch, Englisch, Band 735, 248 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 565 g
Reihe: IFIP Advances in Information and Communication Technology
24th IFIP WG 5.4 International TRIZ Future Conference, TFC 2024, Cluj-Napoca, Romania, November 6-8, 2024, Proceedings, Part I
Buch, Englisch, Band 735, 248 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 565 g
Reihe: IFIP Advances in Information and Communication Technology
ISBN: 978-3-031-75918-5
Verlag: Springer Nature Switzerland
This book constitutes the proceedings of the 24th IFIP WG 5.4 International TRIZ Future Conference on AI-Powered Innovation and Inventive Design, TFC 2024, held in Cluj-Napoca, Romania, during November 6–8, 2024.
The 42 full papers presented were carefully reviewed and selected from 72 submissions. They were organized in the following topical sections:
Part I - AI-Driven TRIZ and Innovation
Part II - Sustainable and Industrial Design with TRIZ; Digital Transformation, Industry 4.0, and Predictive Analytics; Interdisciplinary and Cognitive Approaches in TRIZ; Customer Experience and Service Innovation with TRIZ.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
Weitere Infos & Material
.- AI-Driven TRIZ and Innovation.
.- LLM-based Extraction of Contradictions from Patents.
.- AI based search engine to deploy a TRIZ pointer to chemical effects.
.- Integrating Generative AI with TRIZ for Evolutionary Product Design.
. Harnessing Generative AI for Sustainable Innovation: A Comparative Study of Prompting Techniques and Integration with Nature-Inspired Principles.
.- Neuro-Symbolic AI-Driven Inventive Design of a Benzoic Acid Extraction Installation from Styrax Resin.
.- Enhancing TRIZ Contradiction Resolution with AI-driven Contradiction Navigator (AICON).
.- Research on disruptive technology prediction methods based on BERT model and graph theory analysis.
.- Exploring Cross-Domain Technological Opportunities through Customized Training of the Bert Model.
.- Resource Mining Method of Idealization Driven Product Innovation Process of AI-Aided.
.- Use of AI in the TRIZ innovation process: a TESE-based forecast.
.- Evaluating the effectiveness of generative AI in TRIZ: A comparative case study.
.- On opportunities and challenges of large language models and GPT for problem solving and TRIZ education.
.- Challenges in Inventive Design Problem Solving with Generative AI: Interactive Problem Definition, Multi-Directional Prompting, and Concept Development.
.- The Evolving Landscape of TRIZ: A Generative AI-Powered Perspective.